Telecommunications Data Analyst and Developer needed

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@masiahm4

Hi! I’m a full‑stack developer with 5 years building Python/JS data apps and automations. I help teams turn raw records into reliable, audit‑ready insights. For your IPDR/CDR needs, I’ll integrate parsers, normalization, and correlation directly into your product to deliver: - Accurate mapping of MSISDN/IMSI/IMEI, IP/ports/URLs, session timing/volume, Cell ID/LAC - User‑activity timelines by correlating IPDR with CDR for investigations and audits - Scalable processing of large CSV/TSV/logs with pandas/regex + SQL, with QA checks and data lineage - Structured outputs, dashboards, and summaries that reduce manual effort and speed case turnaround Results: faster investigations, consistent reporting, and fewer data ambiguities—so analysts focus on decisions, not data cleaning. I’ve shipped high‑volume data systems (dashboards, trading automations, scraping pipelines, custom CRMs) with strong accuracy and maintainability. Could you share sample records and your target output schema? Happy to jump on a quick call to propose a pilot.

@KarthikTechCon

Hi, I’m Karthik, a telecom-domain developer & data analyst with 10+ years of experience working on CDR/IPDR processing, correlation, and analytics systems, including integration into existing products. I can fully understand, interpret, and extend your platform to support IPDR and CDR data for analysis, investigation, and reporting use cases. What I bring to this role: Hands-on experience with IPDR & CDR records (voice, SMS, data sessions) Deep understanding of telecom identifiers: MSISDN, IMSI, IMEI Network-level fields: IPv4/IPv6, ports, URLs, session timing, data volume Mobility data: Cell ID, LAC, tower/location mapping Correlation logic between IPDR and CDR for user activity reconstruction Technical strengths: Python for parsing, normalization, automation (pandas, regex, datetime) Handling large datasets (CSV/TSV/logs/databases) efficiently SQL for structured storage, joins, and reporting Building clean pipelines that ensure data accuracy, consistency, and traceability How I’ll help your product: Decode and map raw IPDR/CDR fields into usable schemas Implement correlation and analytics logic inside your existing system Support investigation, audit, and reporting workflows Produce clear summaries and insights from raw telecom data I’ve reviewed the shared document and am comfortable with the full technical scope. Happy to discuss integration approach, timelines, and next steps. Best regards, Karthik

@AhmadXpert2410

Hi there, I have hands-on experience working with telecom datasets as a Junior Data Scientist at a UK-based telco, and I’m confident in handling IPDR and CDR data for analysis, investigation, and reporting purposes. I’m familiar with the telecom domain, including voice, SMS, data sessions, and internet traffic, and I can accurately decode fields like MSISDN, IMSI, IMEI, IP addresses, session times, volumes, and tower locations. I can parse, transform, and correlate IPDR/CDR records efficiently, using Python (pandas, regex, datetime handling) and SQL for large datasets. I focus on data accuracy, normalization, and structured outputs, providing actionable insights for audits, investigations, or analytics applications. My background in a live telecom environment ensures I understand real-world data quirks and can deliver high-quality results quickly. I’m ready to integrate this capability into your existing product, automating processing and producing clear summaries and insights. I can start immediately and work independently to ensure consistent, reproducible results aligned with your technical requirements. Regards, Ahmad

@deepanshug38

Hi — I have hands-on experience working with IPDR and CDR datasets and can support both analysis and integration into your existing product with a strong focus on accuracy, correlation logic, and scalability. How I will contribute 1) IPDR / CDR interpretation & processing • Read and interpret raw IPDR and CDR records independently. • Correctly map and normalize key fields: MSISDN, IMSI, IMEI IPv4 / IPv6, ports, URLs Session start/end times, duration, data volume Cell ID, LAC, tower / location metadata 2) Correlation & user-activity analysis • Correlate IPDR and CDR records to reconstruct user behavior across: Voice, SMS, and data sessions • Align sessions across time windows and identifiers. • Support investigation, audit, and analytics use cases with reproducible logic. 3) Large-scale data handling • Process large CSV/TSV/log-based datasets efficiently. • Ensure consistency, validation, and integrity across records. • Prepare structured outputs suitable for dashboards, reports, or downstream systems. 4) Technical implementation (Python / SQL) • Python for parsing, transformation, and automation: pandas, regex, datetime handling • Build reusable scripts for ingestion and normalization. • Use SQL where required for structured storage and querying. Why I’m a strong fit • Proven experience with IPDR/CDR telecom data • Strong understanding of telecom network concepts • Comfortable explaining records clearly to technical and non-technical stakeholders

@Shrutibimpl

Hello, I will integrate IPDR and CDR analysis capabilities into your existing product. My process will involve analyzing the format and structure of your raw telecom records to accurately decode and map critical fields such as MSISDN, IP addresses, session times, and Cell ID. I will develop a robust data normalization and correlation logic to link IPDR and CDR data, enabling comprehensive user activity analysis. The final output will be structured logic that generates accurate summaries and insights, ready to assist in your investigations, audits, and analytics use cases. 1) What is the specific format of the raw IPDR and CDR data records (e.g., CSV, proprietary binary, database tables)? 2) Which programming language is your existing product primarily built in? 3) What is the average daily volume of the IPDR and CDR data being processed? Thanks, Bharat

@professorxwriter

As an experienced data analyst and developer, I am confident in my ability to tackle the requirements of your project. My Strong knowledge of IPDR and CDR records, combined with my deep understanding of the telecom industry, make me an ideal candidate for this position. I've previously worked on similar tasks involving decoding and mapping data such as MSISDN, IMSI, IMEI, IP addresses, ports, URLs, session timing and duration as well as tower location among others. Additionally, my experience spans over two years of working with large datasets and processing them accurately. Whether it's analysing a huge CSV or TSV files or log analysis from databases or other sources, I can handle it adeptly. Having worked extensively with Python (including libraries such as pandas, regex, datetime handling), I'm perfectly comfortable and efficient in parsing data, pre-processing them for your specific needs and automating such tasks at scale which might be useful for your operations. Finally, my familiarity with SQL databases further strengthens my capabilities in managing and working

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for Telecommunications Data Analyst/Developer . We are experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@abdf2010

Hi. Your "Telecommunications Data Analyst and Developer needed" looks like a great fit for my skills. I've worked on similar Python projects and can deliver solid results. Let me know if you'd like to chat about the approach.

@TechWagger2026

Hello As an experienced developer and data analyst with a decade in the industry, I bring strong domain knowledge and expertise that makes me stand out for your telecommunications project. Having not only read, but meticulously analyzed multiple IPDR and CDR data records over the years, I have gained deep insights into telecommunication network concepts related to voice, SMS, data sessions and internet traffic. My understanding of key fields such as MSISDN, IMSI, IMEI, IP address (IPv4/IPv6), ports, URLs and others will be exceedingly valuable in your project. With a proven track record of handling large datasets such as CSVs, TSVs and logs, I'm well versed in maintaining data accuracy and consistency whilst working with big volumes of information like the raw records involved in this project. Additionally, my proficiency in Python for automation, scripting, data parsing and transformation is an asset that will ensure faster processing time and better efficiency. In conjunction with libraries such as pandas for analytics tasks on large datasets like yours, we can extract insightful summaries and rich information from these raw records using my mastery of regex techniques. In summary, my widespread technical skillset in telecom domain and beyond coupled with my deep understanding of IPDR/CDR records makes me the ideal candidate for this role. Let's leverage my strengths to turn your telecommunications data into actionable insights!

@datascientist223

I am an experienced Power engineer turned data analyst with a strong background in telecom data analysis, specializing in IPDR and CDR records. With over three years of hands-on experience, I excel in decoding, interpreting, and correlating network data to extract meaningful insights for investigation and reporting. My expertise covers MSISDN, IMSI, IMEI mapping, IP attribution, and session analytics. I’m proficient in Python for data parsing, automation, and analysis using pandas and regex, and comfortable handling large structured datasets. I aim to enhance your existing product by integrating robust IPDR/CDR processing and analytics capabilities with precision and performance. PS: Place a message to discuss more!

@dushyant317

I bring 13 years of professional experience delivering high-quality results. I have strong expertise in all the required skills listed for this project. My approach ensures accuracy, clear communication, and timely delivery. I am confident I can exceed your expectations with efficient, reliable work. Looking forward to contributing to your project—ready to begin immediately.

@sreenivas2903

Hello Team, I am expertise in data analysis and especially having knowledge in ott platform and telecom. Ping me for more information. we can talk more and finalize . once we finalize the requirements , we can start working

@PatoPro

With over 2 years' experience working with IPDR and CDR data, solid knowledge of telecom domain concepts, and a deep understanding of data normalization and correlation techniques, I am the ideal candidate for your telecommunications data project. I have the capacity to independently read, interpret and explain IPDR/CDR records, skills that are fundamental in this role. Importantly, I also possess strong technical skills in Python for data transformation and automation tasks- and combined with my knowledge of SQL databases, this will help to maximize productivity and streamline your existing product. My ability to handle such data effectively not only guarantees accuracy and consistency but also enables me to deliver the structured outputs, summaries, and insights your project requires. Additionally, my proficiency in using advanced analytical tools like Pandas, which is invaluable for sorting through large datasets as well as performing various statistical operations will definitely add value to your project. I am confident that my skillset is tailor-made for your needs. Moreover, my commitment to producing high-quality work with reliability adhering closely to set deadlines will ensure efficiency on this project. I would greatly appreciate the opportunity to discuss how I can leverage my skills for your success!

@rahulb058

As a seasoned Full-Stack Developer and Product Management Professional, I'm very familiar with the kind of in-depth data analysis, interpretation and reporting that's crucial to your project. In fact, I have a solid 2-3 years of hands-on experience working directly with IPDR and CDR data which will surely come in handy here. Additionally, my deep understanding of telecom domain concepts is yet another mainstay in my skillset. This knowledge bank helps me decode and map crucial IPDR/CDR fields such as MSISDN, IMSI, IMEI, IP address (IPv4/IPv6), ports, URLs, session start/end times, duration, volume and more. Not only am I adept at handling exhaustive datasets, but I strive to ensure data accuracy and consistency throughout. My expertise with Python will also serve you well. Given my experience with regex, pandas and datetime handling in Python for intricate data parsing and swifter automation - among other key skills - we can guarantee an efficient workflow and quick turnaround times. Lastly, my strategic leadership skills in Product Architecture combined with a detail-oriented approach ensures that I not only understand but also translate complex technical matters to non-technical stakeholders effectively. Let's collaborate to report meaningful insights from your raw records while empowering your existing product to its full potential

@ShenbhagaPandi

Hi Team, I am interested in this bid. Please let me know the requirement.I will complete the following as soon as possible.

@HeetThummar6271

I am a mix of quiet thoughts and loud ideas, someone who overthinks simple things and underthinks complicated ones. I enjoy starting projects more than finishing them, noticing small details while somehow missing obvious ones. I learn best by messing up first, ask a lot of “what if” questions, and get curious at the worst possible times. I enjoy being alone but hate feeling lonely, have playlists for every mood, and replay conversations in my head. I laugh at my own jokes, even if I pretend I don’t, and I prefer late nights over early mornings. I think better in quiet moments, differently in loud ones, change my mind often, yet remain stubborn about certain opinions. I care more than I show, act calm when I’m not, enjoy random facts, forget important dates, and remember strange moments forever. I love deep conversations just as much as pointless ones, procrastinate creatively, work best under pressure, question rules, and still follow them. I’m drawn to things that feel meaningful and bored by what feels empty, daydream often, snap back to reality quickly, enjoy solving problems, and sometimes create new ones. I notice patterns, .

@chaitanyak02

Hello, I am interested in contributing to your existing product as a Developer/Analyst specializing in IPDR and CDR data. I have strong domain understanding of telecom network data and hands-on experience working with large-scale IPDR/CDR records for analysis, correlation, and reporting use cases. What I Bring Ability to decode and map critical IPDR/CDR fields including: IPv4/IPv6 addresses, ports, URLs Session start/end times, duration, and data volume Correlating IPDR with CDR to derive user behavior and activity timelines Responsibilities I Can Handle End-to-end processing of raw IPDR/CDR files (CSV, TSV, logs, database exports) Correlation of multi-source telecom data for investigations, audits, and analytics Ensuring data accuracy, consistency, and normalization Generating structured outputs, summaries, and actionable insights from raw telecom records Seamless integration of IPDR/CDR analytics modules into your existing product architecture Technical Expertise Python for: Parsing and transforming large datasets Automation and scripting Data analysis using pandas, regex, datetime modules Experience working with SQL databases for querying and data correlation Comfortable handling high-volume datasets with performance and reliability in mind Looking forward to discussing your product requirements and how I can contribute effectively. Best regards, Chaitanya Krishna

@sanjipsheokand10

i have 15 + year experience developing web application you are interested please contact tome your project requeriemetn with m y project contact tom e