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(3 reviews)

Zainab A.

@PyMLExpert1

5.0

1.9

67%

Python & Machine Learning Expert | AI Solutions

$20 USD / Hour

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Pakistan (5:04 PM)

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Joined on January 24, 2026

$20 USD / Hour

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As a seasoned Python and Machine Learning Expert, I specialize in architecting and deploying end-to-end AI solutions. With deep expertise in designing complex algorithms and working with large-scale data, I help businesses automate processes and gain a competitive edge through predictive analytics.

Verifications

On time

100%

On budget

100%

Accept rate

100%

See all Python Developers in Pakistan

Portfolio

Created a comprehensive demographic infographic analyzing Pakistan's population trends for 2025. This project visualizes complex datasets including province-wise distribution, urban vs. rural ratios (60/40), and age-gender pyramids to highlight the country's youthful demographic. It also tracks historical growth patterns and identifies population density by district using a heat-map style visualization. The dashboard is designed to provide quick, data-driven insights for policy-making, market research, and urban planning. I focused on clean typography and high-contrast charts to ensure the information is accessible and easy to interpret at a glance.

Pakistan Population Analysis

Developed a comprehensive technical analysis dashboard for equity market tracking, specifically showcasing Apple Inc. (AAPL) historical data. The project integrates multiple financial indicators including Candlestick charts, Volume oscillators, and specialized trend-following signals. I implemented complex data overlays such as Bollinger Bands (BB), RSI (Relative Strength Index), and MACD to identify potential buy/sell entry points. The visualization provides a detailed daily breakdown of price action from May to November, highlighting market volatility and trend exhaustion points. This tool is designed for traders and financial analysts to perform data-driven decision-making in high-frequency trading environments.

Algorithmic Trading

Developed a 'Professional Advanced Calculator' application designed to handle both everyday arithmetic and complex scientific computations. The tool features a sleek, user-friendly dark interface with color-coded interactive elements for enhanced accessibility. Beyond basic operations, I implemented advanced mathematical logic for trigonometric functions, exponential powers, and logarithmic calculations. The software is optimized for precision and speed, making it a reliable utility for students and professionals. This project demonstrates my ability to build functional GUI applications with complex back-end logic and intuitive front-end design.

Full-Stack Desktop Calculator Suite

Developed a visual analytics report for a Machine Learning model specialized in route optimization. The project involved tracking the 'Learning Curve' over 1,000 training epochs to monitor efficiency scores and reward patterns. By implementing a 'Learning Trend' moving average (represented by the red line), I was able to demonstrate how the AI stabilizes its decision-making process over time despite high initial variance. This data visualization is crucial for fine-tuning hyperparameters in AI logistics and ensuring the model achieves maximum efficiency in complex pathfinding tasks

Deep Reinforcement Learning for Logi

This project focuses on data visualization for the travel industry, specifically analyzing hostel pricing for solo travelers across five popular destinations. I designed this bar chart to provide a clear, color-coded comparison of minimum nightly costs in USD, ranging from budget-friendly options like Vietnam ($5) to premium hubs like Dubai ($30). The visual uses a strategic color gradient—from green to red—to help users immediately identify the most cost-effective regions. This type of analytical content is perfect for travel agencies, budget planning apps, and digital tourism blogs looking to present complex pricing data in an easy-to-digest format.

Global Hostel Budget Analysis Dashbo

Developed a high-performance AI Pipeline Dashboard designed to validate Large Language Model (LLM) outputs in real-time. The system processes raw JSON data from AI models and runs it through a verification engine to identify factual accuracy. It features a dual-pane interface showing the original LLM claims alongside a 'Verification Output' that flags suspicious content (like low-confidence claims) for human review. Built with a focus on speed, the pipeline executes in under 800ms, providing detailed summaries of total vs. verified claims. This tool is essential for ensuring AI reliability and reducing hallucinations in digital content.

Automated LLM Fact-Checking Dashboar

Pakistan Population Analysis

Algorithmic Trading

Full-Stack Desktop Calculator Suite

Deep Reinforcement Learning for Logi

Global Hostel Budget Analysis Dashbo

Automated LLM Fact-Checking Dashboar

5.0 · 3 Reviews

Reviews

AI Model Training and Analysis • $80 AUD

iam happy of work good sevice

+1 more

Avtar S.

@avtars44

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shahjhanpur, India

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5 days ago

Odoo 19 enterprises contact Details add • ₹2,000 INR

The project is not completed according to the dispute

+3 more

Rohit S.

@sasanirohit

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Surat, India

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18 days ago

Real-Time NSE STOCKS FNO Amibroker Scanner AFL FOR HIGHLY EXPERINCED AMIBROKER AFL PROGRAMMER • ₹3,000 INR

She is professional, Economical, Punctual

+5 more

Bsr M.

@SRITREE

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Hyderabad, India

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1 month ago

Lead Python & AI Solutions Developer

Mar, 2022 - Present

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4 years

Self-Employed

Mar, 2022 - Present

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4 years

Delivered high-impact AI solutions for global clients. Specialized in building custom Machine Learning models using Scikit-Learn and TensorFlow. Developed automated data scrapers and analysis tools that helped businesses make data-driven decisions.

Renala khud , Pakistan

Mar, 2022 - Present

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4 years

Data Science

2021 - 2025

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4 years

Pakistan

2021 - 2025

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4 years

Python for Data Science and Machine Learning Bootcamp

2020

Udemy / Coursera / Google (Jahan se bhi aapne seekha)

Comprehensive training in Data Analysis, Machine Learning algorithms, and Neural Networks. Mastered libraries like Pandas, Seaborn, Scikit-Learn, and TensorFlow through hands-on industrial projects.

2020

Optimizing Machine Learning Workflows with Python

2023

Towards Data Science / Medium

In this publication, I detailed advanced techniques for optimizing data preprocessing and model selection in Python. I covered the use of Scikit-Learn pipelines to reduce data leakage and demonstrated how to implement cross-validation for more robust predictive modeling. This guide has helped many developers streamline their ML production environments.

2023

Python

Freelancer Orientation