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Talha Waqar

@talhawaqar

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I build data insights, machine learning workflows, and practical Python software.

Pakistan

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What I'm looking for

I'm seeking an internship where I can apply practical skills in data science, data analytics, machine learning, and software development while growing through real-world projects.

I've built a POS and inventory management system that delivers billing, inventory tracking, profit analysis, CSV exports, receipt generation, and customer order history. I also turn customer-spending data into visual insights and meaningful segments using clustering.

I'm an ICS student pursuing hands-on work in data science, data analytics, machine learning, and software development. My projects include Random Forest classification workflows, e-commerce data scraping from Daraz, responsive business websites, and Python/AI automations that reduce repetitive work.

Experience

Work history, roles, and key accomplishments

Machine Learning Classification

Self Employed

Built classification workflows including Random Forest and evaluated predictions using confusion matrices and model-performance outputs.

Python Machine Learning Classification Random Forest Model Evaluation

E-commerce Data Scraper

Self Employed

Developed a Python scraper for structured product-data collection from Daraz and other e-commerce sources for analysis.

Python Web Scraping Automation Data Analysis

AI & Automation Projects

Self Employed

Developed practical Python/AI automation workflows designed to reduce repetitive tasks and improve productivity.

Python AI Automation Automation Problem Solving

Construction Company Website

Self Employed

Created a responsive business website for presenting company services through a clean user-focused interface.

HTML CSS Web Development

POS & Inventory Management System

Self Employed

Developed a desktop POS software using sales and inventory data to generate business insights, reports, billing, inventory tracking, profit analysis, CSV export, receipt generation, and customer order history.

Python C++Pandas NumPy Matplotlib Data Cleaning EDA Data Visualization Business Insights CSV Desktop Applications Problem Solving Data Analysis

Data Analytics & Customer Segmentation

Self Employed

Cleaned, analyzed, and visualized customer-spending data; used clustering to create meaningful customer segments and identify high-, medium-, and low-value customer groups.