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Khadeeja Soha Khan

@khadeejasohakhan

Computer Science Engineering student building AegisCart, a FastAPI-backed AI commerce agent with deterministic payment authorization.

India

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I built AegisCart, an AI shopping agent that interprets natural-language requests and ranks products against a merchant catalog. Its FastAPI backend uses a separate purchase authorization system, Razorpay Test Mode, and server-side signature verification.

For HEAR US, I built an end-to-end machine-learning pipeline for real-time ASL gesture recognition from sensor data, including preprocessing, feature engineering, and classification. I also developed a customer booking prediction workflow and Power BI dashboards to present its findings.

My projects span software development, data analytics, and AI/ML, grounded in Python and core computer science. I designed and deployed a responsive portfolio website on GitHub Pages to showcase my work.

Experience

Work history, roles, and key accomplishments

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Tata iQ

Jan 2026 - Present (8 months)

Explored a 501-customer credit-risk dataset for data-quality issues; designed and compared predictive models with fairness checks, converted findings into a collections strategy, and scoped a high-level agentic AI workflow with human-oversight and auditability guardrails.

Data Analysis predictive modeling Logistic Regression Decision Trees Neural Networks Fairness Testing Agentic AI Data Quality

Data Analytics Virtual Internship

Deloitte

Jan 2026 - Present (8 months)

Analyzed gender pay equality data in Excel, ran classification analysis to isolate contributing factors, and created a client-facing presentation with findings and recommendations.

Data Analysis Excel Classification Analysis Presentation Skills

Data Science Virtual Experience

British Airways

Jan 2026 - Present (8 months)

Performed web scraping and sentiment analysis on airline reviews, and conducted booking-data analysis and predictive modeling to generate business insights.

Web Scraping Sentiment Analysis predictive modeling Data Analysis

Trading Data & Market Sentiment Analysis

PrimeTrade.ai

Jan 2026 - Present (8 months)

Analyzed 211,000+ Hyperliquid trading records alongside the Bitcoin Fear & Greed Index; studied relationships between market sentiment and trader profitability across five market conditions and visualized findings with Matplotlib/Seaborn.

Data Analysis Market Sentiment Analysis Matplotlib SeaBorn Hyperliquid Fear and Greed Index