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$5 USD / Stunde
Flagge von INDIA
auraiya, india
$5 USD / Stunde
Es ist derzeit 6:00 AM hier
Beigetreten am Februar 24, 2018
0 Empfehlungen

Rishabh S.

@Rishabh567

 4,5 (7 Bewertungen)
2,6
2,6
80%
80%
$5 USD / Stunde
Flagge von INDIA
auraiya, india
$5 USD / Stunde
88 %
Abgeschlossene Arbeiten
65 %
Budgetgerecht
65 %
Pünktlich
N/A
Wiedereinstellungsrate

Data Analyst | Scraping | DBMS | ML | Automation

As an experienced Data Analyst with a proven track record spanning 2 years, I specialize in extracting valuable insights from complex datasets. Proficient in an array of powerful tools including Python, Machine learning, Excel, SQL, Power BI, Python Automation, Web Scraping, Google Sheets, Excel Power Query/Automation, live dashboard creation, Data Mining, Data Extraction, and Database Management, I have effectively catered to the needs of over 53 satisfied clients. My expertise lies in not just analyzing data but transforming it into actionable strategies, offering comprehensive solutions that drive informed decision-making and optimize business processes. I excel in crafting dynamic and informative live dashboards, enabling real-time monitoring and facilitating swift, data-driven decisions. My commitment to delivering high-quality results while maintaining a client-centric approach has consistently garnered positive feedback and long-term partnerships. Let's collaborate and achieve your data objectives efficiently and effectively!
Freelancer Web Scraping Specialists India
Alle Web Scraping Specialists in India ansehen

Kontaktieren Sie Rishabh S. bezüglich Ihres Jobs

Melden Sie sich an, um Details im Chat zu besprechen.

Portfolio

11376000
Overview : Successfully scraped Rado watch data from the website and compiled it into an Excel format for detailed analysis. Details : Tools Used: Web scraping, Python, Excel Extracted comprehensive information on Rado watches, including models, specifications, prices, and availability. Outcome : Produced a structured Excel dataset, ideal for in-depth analysis of Rado's product offerings, market trends, pricing strategies, and inventory management. Contribution : I led the web scraping effort, ensuring data accuracy, and delivered an organized Excel dataset ready for thorough analysis. Conclusion : This project showcases my proficiency in web scraping, data extraction, and Excel analysis, offering valuable insights into Rado's watch products.
Rado Watch Data Scraping and Excel Analysis
Overview : Successfully scraped Rado watch data from the website and compiled it into an Excel format for detailed analysis. Details : Tools Used: Web scraping, Python, Excel Extracted comprehensive information on Rado watches, including models, specifications, prices, and availability. Outcome : Produced a structured Excel dataset, ideal for in-depth analysis of Rado's product offerings, market trends, pricing strategies, and inventory management. Contribution : I led the web scraping effort, ensuring data accuracy, and delivered an organized Excel dataset ready for thorough analysis. Conclusion : This project showcases my proficiency in web scraping, data extraction, and Excel analysis, offering valuable insights into Rado's watch products.
Rado Watch Data Scraping and Excel Analysis
Overview : Successfully scraped Rado watch data from the website and compiled it into an Excel format for detailed analysis. Details : Tools Used: Web scraping, Python, Excel Extracted comprehensive information on Rado watches, including models, specifications, prices, and availability. Outcome : Produced a structured Excel dataset, ideal for in-depth analysis of Rado's product offerings, market trends, pricing strategies, and inventory management. Contribution : I led the web scraping effort, ensuring data accuracy, and delivered an organized Excel dataset ready for thorough analysis. Conclusion : This project showcases my proficiency in web scraping, data extraction, and Excel analysis, offering valuable insights into Rado's watch products.
Rado Watch Data Scraping and Excel Analysis
11375990
Overview : Successfully scraped a vast dataset of 40,000 property records from RERA (Real Estate Regulatory Authority) websites using Selenium for comprehensive analysis. Details : Tech Used: Selenium (Python) Employed Selenium to meticulously extract extensive property data, including project names, developers, locations, pricing, and regulatory information. Outcome : Generated an extensive dataset, pivotal for in-depth real estate market research, trend analysis, investment decisions, and regulatory compliance evaluations. Contribution : I led the web scraping initiative, ensuring accurate data capture, and delivered a substantial, well-organized dataset, primed for thorough analysis. Conclusion : This project underscores my proficiency in web scraping using Selenium, demonstrating the capability to handle and process massive datasets for rigorous real estate analysis.
RERA Property Data Extraction
Overview : Successfully scraped a vast dataset of 40,000 property records from RERA (Real Estate Regulatory Authority) websites using Selenium for comprehensive analysis. Details : Tech Used: Selenium (Python) Employed Selenium to meticulously extract extensive property data, including project names, developers, locations, pricing, and regulatory information. Outcome : Generated an extensive dataset, pivotal for in-depth real estate market research, trend analysis, investment decisions, and regulatory compliance evaluations. Contribution : I led the web scraping initiative, ensuring accurate data capture, and delivered a substantial, well-organized dataset, primed for thorough analysis. Conclusion : This project underscores my proficiency in web scraping using Selenium, demonstrating the capability to handle and process massive datasets for rigorous real estate analysis.
RERA Property Data Extraction
Overview : Successfully scraped a vast dataset of 40,000 property records from RERA (Real Estate Regulatory Authority) websites using Selenium for comprehensive analysis. Details : Tech Used: Selenium (Python) Employed Selenium to meticulously extract extensive property data, including project names, developers, locations, pricing, and regulatory information. Outcome : Generated an extensive dataset, pivotal for in-depth real estate market research, trend analysis, investment decisions, and regulatory compliance evaluations. Contribution : I led the web scraping initiative, ensuring accurate data capture, and delivered a substantial, well-organized dataset, primed for thorough analysis. Conclusion : This project underscores my proficiency in web scraping using Selenium, demonstrating the capability to handle and process massive datasets for rigorous real estate analysis.
RERA Property Data Extraction
Overview : Successfully scraped a vast dataset of 40,000 property records from RERA (Real Estate Regulatory Authority) websites using Selenium for comprehensive analysis. Details : Tech Used: Selenium (Python) Employed Selenium to meticulously extract extensive property data, including project names, developers, locations, pricing, and regulatory information. Outcome : Generated an extensive dataset, pivotal for in-depth real estate market research, trend analysis, investment decisions, and regulatory compliance evaluations. Contribution : I led the web scraping initiative, ensuring accurate data capture, and delivered a substantial, well-organized dataset, primed for thorough analysis. Conclusion : This project underscores my proficiency in web scraping using Selenium, demonstrating the capability to handle and process massive datasets for rigorous real estate analysis.
RERA Property Data Extraction
10813322
Power Bi Advance Dashboard
Power Bi Dashboard
10819169
Overview : I conducted web scraping on the Ethos Watch website to gather data for analysis and insights into the luxury watch market. Details : Tool Used: Python, Scrapy Extracted comprehensive product data, including watch models, brands, prices, specifications, and availability, and structured it for analysis. Outcome : Generated a rich dataset perfect for market analysis, competitor tracking, pricing strategies, and trends in the luxury watch industry. Contribution : I led the web scraping effort, ensuring data quality, and delivered a well-structured dataset ready for meaningful analysis. Conclusion : This project underscores my proficiency in web scraping using Scrapy and my capacity to produce actionable datasets for market research.
Ethos Watch Website Data Scraping for Analysis
Overview : I conducted web scraping on the Ethos Watch website to gather data for analysis and insights into the luxury watch market. Details : Tool Used: Python, Scrapy Extracted comprehensive product data, including watch models, brands, prices, specifications, and availability, and structured it for analysis. Outcome : Generated a rich dataset perfect for market analysis, competitor tracking, pricing strategies, and trends in the luxury watch industry. Contribution : I led the web scraping effort, ensuring data quality, and delivered a well-structured dataset ready for meaningful analysis. Conclusion : This project underscores my proficiency in web scraping using Scrapy and my capacity to produce actionable datasets for market research.
Ethos Watch Website Data Scraping for Analysis
Overview : I conducted web scraping on the Ethos Watch website to gather data for analysis and insights into the luxury watch market. Details : Tool Used: Python, Scrapy Extracted comprehensive product data, including watch models, brands, prices, specifications, and availability, and structured it for analysis. Outcome : Generated a rich dataset perfect for market analysis, competitor tracking, pricing strategies, and trends in the luxury watch industry. Contribution : I led the web scraping effort, ensuring data quality, and delivered a well-structured dataset ready for meaningful analysis. Conclusion : This project underscores my proficiency in web scraping using Scrapy and my capacity to produce actionable datasets for market research.
Ethos Watch Website Data Scraping for Analysis
10819127
Overview : I executed web scraping using Scrapy to gather data from a footwear website, aiming to create a dataset for in-depth analysis. Details : Tool Used: Scrapy (Python) Scraped product information, including details like shoe types, sizes, brands, prices, and more, and structured it into a usable dataset. Outcome : Generated a comprehensive dataset ideal for footwear market analysis, trend identification, pricing strategies, and inventory management. Contribution : I led the web scraping process, ensuring data accuracy, and delivered a structured dataset ready for insightful analysis. Conclusion : This project showcases my expertise in web scraping using Scrapy and my ability to create actionable datasets for business analysis.
Footwear Website Data Scraping for Analysis
Overview : I executed web scraping using Scrapy to gather data from a footwear website, aiming to create a dataset for in-depth analysis. Details : Tool Used: Scrapy (Python) Scraped product information, including details like shoe types, sizes, brands, prices, and more, and structured it into a usable dataset. Outcome : Generated a comprehensive dataset ideal for footwear market analysis, trend identification, pricing strategies, and inventory management. Contribution : I led the web scraping process, ensuring data accuracy, and delivered a structured dataset ready for insightful analysis. Conclusion : This project showcases my expertise in web scraping using Scrapy and my ability to create actionable datasets for business analysis.
Footwear Website Data Scraping for Analysis
10819121
Overview : I conducted LinkedIn jobs data scraping, transformed it into a CSV, and built an insightful Power BI dashboard for comprehensive analysis. Details : Tech Used: Web scraping, Python, Power BI Scraped job listings from LinkedIn, structured data into a CSV, and utilized Power BI for data visualization. Outcome : Resulted in an interactive Power BI dashboard offering in-depth insights into job trends, industries, locations, and more, aiding informed career decisions. Contribution : I spearheaded data extraction, transformation, and dashboard creation, showcasing expertise in web scraping, data processing, and Power BI. Conclusion : This project highlights my ability to leverage technology for career insights, transforming LinkedIn job data into actionable analytics.
LinkedIn Jobs Data Analytics with Power BI
Overview : I conducted LinkedIn jobs data scraping, transformed it into a CSV, and built an insightful Power BI dashboard for comprehensive analysis. Details : Tech Used: Web scraping, Python, Power BI Scraped job listings from LinkedIn, structured data into a CSV, and utilized Power BI for data visualization. Outcome : Resulted in an interactive Power BI dashboard offering in-depth insights into job trends, industries, locations, and more, aiding informed career decisions. Contribution : I spearheaded data extraction, transformation, and dashboard creation, showcasing expertise in web scraping, data processing, and Power BI. Conclusion : This project highlights my ability to leverage technology for career insights, transforming LinkedIn job data into actionable analytics.
LinkedIn Jobs Data Analytics with Power BI
Overview : I conducted LinkedIn jobs data scraping, transformed it into a CSV, and built an insightful Power BI dashboard for comprehensive analysis. Details : Tech Used: Web scraping, Python, Power BI Scraped job listings from LinkedIn, structured data into a CSV, and utilized Power BI for data visualization. Outcome : Resulted in an interactive Power BI dashboard offering in-depth insights into job trends, industries, locations, and more, aiding informed career decisions. Contribution : I spearheaded data extraction, transformation, and dashboard creation, showcasing expertise in web scraping, data processing, and Power BI. Conclusion : This project highlights my ability to leverage technology for career insights, transforming LinkedIn job data into actionable analytics.
LinkedIn Jobs Data Analytics with Power BI
11376000
Overview : Successfully scraped Rado watch data from the website and compiled it into an Excel format for detailed analysis. Details : Tools Used: Web scraping, Python, Excel Extracted comprehensive information on Rado watches, including models, specifications, prices, and availability. Outcome : Produced a structured Excel dataset, ideal for in-depth analysis of Rado's product offerings, market trends, pricing strategies, and inventory management. Contribution : I led the web scraping effort, ensuring data accuracy, and delivered an organized Excel dataset ready for thorough analysis. Conclusion : This project showcases my proficiency in web scraping, data extraction, and Excel analysis, offering valuable insights into Rado's watch products.
Rado Watch Data Scraping and Excel Analysis
Overview : Successfully scraped Rado watch data from the website and compiled it into an Excel format for detailed analysis. Details : Tools Used: Web scraping, Python, Excel Extracted comprehensive information on Rado watches, including models, specifications, prices, and availability. Outcome : Produced a structured Excel dataset, ideal for in-depth analysis of Rado's product offerings, market trends, pricing strategies, and inventory management. Contribution : I led the web scraping effort, ensuring data accuracy, and delivered an organized Excel dataset ready for thorough analysis. Conclusion : This project showcases my proficiency in web scraping, data extraction, and Excel analysis, offering valuable insights into Rado's watch products.
Rado Watch Data Scraping and Excel Analysis
Overview : Successfully scraped Rado watch data from the website and compiled it into an Excel format for detailed analysis. Details : Tools Used: Web scraping, Python, Excel Extracted comprehensive information on Rado watches, including models, specifications, prices, and availability. Outcome : Produced a structured Excel dataset, ideal for in-depth analysis of Rado's product offerings, market trends, pricing strategies, and inventory management. Contribution : I led the web scraping effort, ensuring data accuracy, and delivered an organized Excel dataset ready for thorough analysis. Conclusion : This project showcases my proficiency in web scraping, data extraction, and Excel analysis, offering valuable insights into Rado's watch products.
Rado Watch Data Scraping and Excel Analysis
11375990
Overview : Successfully scraped a vast dataset of 40,000 property records from RERA (Real Estate Regulatory Authority) websites using Selenium for comprehensive analysis. Details : Tech Used: Selenium (Python) Employed Selenium to meticulously extract extensive property data, including project names, developers, locations, pricing, and regulatory information. Outcome : Generated an extensive dataset, pivotal for in-depth real estate market research, trend analysis, investment decisions, and regulatory compliance evaluations. Contribution : I led the web scraping initiative, ensuring accurate data capture, and delivered a substantial, well-organized dataset, primed for thorough analysis. Conclusion : This project underscores my proficiency in web scraping using Selenium, demonstrating the capability to handle and process massive datasets for rigorous real estate analysis.
RERA Property Data Extraction
Overview : Successfully scraped a vast dataset of 40,000 property records from RERA (Real Estate Regulatory Authority) websites using Selenium for comprehensive analysis. Details : Tech Used: Selenium (Python) Employed Selenium to meticulously extract extensive property data, including project names, developers, locations, pricing, and regulatory information. Outcome : Generated an extensive dataset, pivotal for in-depth real estate market research, trend analysis, investment decisions, and regulatory compliance evaluations. Contribution : I led the web scraping initiative, ensuring accurate data capture, and delivered a substantial, well-organized dataset, primed for thorough analysis. Conclusion : This project underscores my proficiency in web scraping using Selenium, demonstrating the capability to handle and process massive datasets for rigorous real estate analysis.
RERA Property Data Extraction
Overview : Successfully scraped a vast dataset of 40,000 property records from RERA (Real Estate Regulatory Authority) websites using Selenium for comprehensive analysis. Details : Tech Used: Selenium (Python) Employed Selenium to meticulously extract extensive property data, including project names, developers, locations, pricing, and regulatory information. Outcome : Generated an extensive dataset, pivotal for in-depth real estate market research, trend analysis, investment decisions, and regulatory compliance evaluations. Contribution : I led the web scraping initiative, ensuring accurate data capture, and delivered a substantial, well-organized dataset, primed for thorough analysis. Conclusion : This project underscores my proficiency in web scraping using Selenium, demonstrating the capability to handle and process massive datasets for rigorous real estate analysis.
RERA Property Data Extraction
Overview : Successfully scraped a vast dataset of 40,000 property records from RERA (Real Estate Regulatory Authority) websites using Selenium for comprehensive analysis. Details : Tech Used: Selenium (Python) Employed Selenium to meticulously extract extensive property data, including project names, developers, locations, pricing, and regulatory information. Outcome : Generated an extensive dataset, pivotal for in-depth real estate market research, trend analysis, investment decisions, and regulatory compliance evaluations. Contribution : I led the web scraping initiative, ensuring accurate data capture, and delivered a substantial, well-organized dataset, primed for thorough analysis. Conclusion : This project underscores my proficiency in web scraping using Selenium, demonstrating the capability to handle and process massive datasets for rigorous real estate analysis.
RERA Property Data Extraction
10813322
Power Bi Advance Dashboard
Power Bi Dashboard
10819169
Overview : I conducted web scraping on the Ethos Watch website to gather data for analysis and insights into the luxury watch market. Details : Tool Used: Python, Scrapy Extracted comprehensive product data, including watch models, brands, prices, specifications, and availability, and structured it for analysis. Outcome : Generated a rich dataset perfect for market analysis, competitor tracking, pricing strategies, and trends in the luxury watch industry. Contribution : I led the web scraping effort, ensuring data quality, and delivered a well-structured dataset ready for meaningful analysis. Conclusion : This project underscores my proficiency in web scraping using Scrapy and my capacity to produce actionable datasets for market research.
Ethos Watch Website Data Scraping for Analysis
Overview : I conducted web scraping on the Ethos Watch website to gather data for analysis and insights into the luxury watch market. Details : Tool Used: Python, Scrapy Extracted comprehensive product data, including watch models, brands, prices, specifications, and availability, and structured it for analysis. Outcome : Generated a rich dataset perfect for market analysis, competitor tracking, pricing strategies, and trends in the luxury watch industry. Contribution : I led the web scraping effort, ensuring data quality, and delivered a well-structured dataset ready for meaningful analysis. Conclusion : This project underscores my proficiency in web scraping using Scrapy and my capacity to produce actionable datasets for market research.
Ethos Watch Website Data Scraping for Analysis
Overview : I conducted web scraping on the Ethos Watch website to gather data for analysis and insights into the luxury watch market. Details : Tool Used: Python, Scrapy Extracted comprehensive product data, including watch models, brands, prices, specifications, and availability, and structured it for analysis. Outcome : Generated a rich dataset perfect for market analysis, competitor tracking, pricing strategies, and trends in the luxury watch industry. Contribution : I led the web scraping effort, ensuring data quality, and delivered a well-structured dataset ready for meaningful analysis. Conclusion : This project underscores my proficiency in web scraping using Scrapy and my capacity to produce actionable datasets for market research.
Ethos Watch Website Data Scraping for Analysis
10819127
Overview : I executed web scraping using Scrapy to gather data from a footwear website, aiming to create a dataset for in-depth analysis. Details : Tool Used: Scrapy (Python) Scraped product information, including details like shoe types, sizes, brands, prices, and more, and structured it into a usable dataset. Outcome : Generated a comprehensive dataset ideal for footwear market analysis, trend identification, pricing strategies, and inventory management. Contribution : I led the web scraping process, ensuring data accuracy, and delivered a structured dataset ready for insightful analysis. Conclusion : This project showcases my expertise in web scraping using Scrapy and my ability to create actionable datasets for business analysis.
Footwear Website Data Scraping for Analysis
Overview : I executed web scraping using Scrapy to gather data from a footwear website, aiming to create a dataset for in-depth analysis. Details : Tool Used: Scrapy (Python) Scraped product information, including details like shoe types, sizes, brands, prices, and more, and structured it into a usable dataset. Outcome : Generated a comprehensive dataset ideal for footwear market analysis, trend identification, pricing strategies, and inventory management. Contribution : I led the web scraping process, ensuring data accuracy, and delivered a structured dataset ready for insightful analysis. Conclusion : This project showcases my expertise in web scraping using Scrapy and my ability to create actionable datasets for business analysis.
Footwear Website Data Scraping for Analysis
10819121
Overview : I conducted LinkedIn jobs data scraping, transformed it into a CSV, and built an insightful Power BI dashboard for comprehensive analysis. Details : Tech Used: Web scraping, Python, Power BI Scraped job listings from LinkedIn, structured data into a CSV, and utilized Power BI for data visualization. Outcome : Resulted in an interactive Power BI dashboard offering in-depth insights into job trends, industries, locations, and more, aiding informed career decisions. Contribution : I spearheaded data extraction, transformation, and dashboard creation, showcasing expertise in web scraping, data processing, and Power BI. Conclusion : This project highlights my ability to leverage technology for career insights, transforming LinkedIn job data into actionable analytics.
LinkedIn Jobs Data Analytics with Power BI
Overview : I conducted LinkedIn jobs data scraping, transformed it into a CSV, and built an insightful Power BI dashboard for comprehensive analysis. Details : Tech Used: Web scraping, Python, Power BI Scraped job listings from LinkedIn, structured data into a CSV, and utilized Power BI for data visualization. Outcome : Resulted in an interactive Power BI dashboard offering in-depth insights into job trends, industries, locations, and more, aiding informed career decisions. Contribution : I spearheaded data extraction, transformation, and dashboard creation, showcasing expertise in web scraping, data processing, and Power BI. Conclusion : This project highlights my ability to leverage technology for career insights, transforming LinkedIn job data into actionable analytics.
LinkedIn Jobs Data Analytics with Power BI
Overview : I conducted LinkedIn jobs data scraping, transformed it into a CSV, and built an insightful Power BI dashboard for comprehensive analysis. Details : Tech Used: Web scraping, Python, Power BI Scraped job listings from LinkedIn, structured data into a CSV, and utilized Power BI for data visualization. Outcome : Resulted in an interactive Power BI dashboard offering in-depth insights into job trends, industries, locations, and more, aiding informed career decisions. Contribution : I spearheaded data extraction, transformation, and dashboard creation, showcasing expertise in web scraping, data processing, and Power BI. Conclusion : This project highlights my ability to leverage technology for career insights, transforming LinkedIn job data into actionable analytics.
LinkedIn Jobs Data Analytics with Power BI

Bewertungen

Änderungen gespeichert
Zeigt 1 - 5 von 7 Bewertungen
Bewertungen filtern nach:
5,0
₹1.200,00 INR
Google App Script to fetch Youtube Videos Data into it.
Satifatory work from Rishabh, Delivered my project in 1 day. Good talent. Thank you.
JavaScript
Python
Web Scraping
API
Google Apps Scripts
Avatar des Nutzers
Flagge von Mg B.
@bhadurudeengani
•
vor 2 Monaten
3,6
₹5.250,00 INR
Project for Rishabh S.
It was not so pleasant experience.
Analytics
Data Analytics
Data Analysis
Power BI
+1 mehr
Avatar des Nutzers
Flagge von Abhishek Kumar A.
@Akmanyu
•
vor 10 Monaten
5,0
$3,00 CAD
Sql Project
Rishabh is an exceptional SQL freelancer. He demonstrated a deep understanding of database design and query optimization. His work was accurate, efficient and delivered on time. I highly recommend him for any SQL related project.
SQL
Oracle
MySQL
Database Administration
Microsoft SQL Server
Y
Flagge von Ayush F.
@yashashu85
•
vor 1 Jahr
5,0
₹3.000,00 INR
Web Scraping
He understood the requirements well, and delivered the project on-time and quality was also very good.
PHP
Data Entry
Excel
Web Scraping
Data Mining
V
Flagge von An A.
@vw7134251vw
•
vor 1 Jahr
5,0
₹1.500,00 INR
Data scrapping from a website
He was quite smart to understand the requirement . Delivered the work with quality. Was always reachable .
PHP
Python
Web Scraping
Data Mining
Data Scraping
I
Flagge von Ibrahim Q.
@Ibrahim00078
•
vor 1 Jahr

Erfahrung

Data Analyst

Masai
Juni 2023 - Aktuell
Developed comprehensive department-specific KPI dashboards to visually communicate key insights and performance metrics. Devised and implemented automation scripts across multiple tasks, Resulting in 70% reduction in time consumption. Developed web scraping scripts utilizing Python to scrape data from multiple platforms; collected and analyzed data from 10+ sources. Working on SQL, ML, Python, Excel, Metabase, Data Extraction etc.

Data Analyst

Daphnis Labs
Jan. 2022 - Juni 2023 (1 Jahr, 5 Monate)
Applied expertise in data visualization by constructing dynamic dashboards that effectively communicated key findings from the processed data. Delivered tailored solutions to clients, showcasing a proven ability to navigate and manipulate data for strategic decision-making. Exhibited proficiency in end-to-end data processing, from data extraction to cleaning and insightful dashboard creation

Ausbildung

BBA

Hemwati Nandan Bahuguna Garhwal University, India 2019 - 2022
(3 Jahre)

Qualifikationen

Data Analyst

Masai
2022
I am a Data Analyst and working with data for the last 1.5 years and having advanced expertise in Python, Excel, SQL, Power BI, Python Automation, Web scrapping, Google sheets, Excel Power query/automation, live dashboards, Data mining, Data Extraction, Database Management, etc.

Kontaktieren Sie Rishabh S. bezüglich Ihres Jobs

Melden Sie sich an, um Details im Chat zu besprechen.

Verifizierungen

Präferenz-Freelancer
Identität verifiziert
Zahlung verifiziert
Telefon verifiziert
E-Mail verifiziert
Facebook verbunden

Top-Fähigkeiten

Web Scraping 4
Python 3
Data Mining 2
Power BI 2
Excel 1

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