Aspiring Data Scientist skilled in Python, SQL, pandas, scikit-learn, and TensorFlow. Focused on ML, predictive modeling, and real-world data projects.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
trump-tariff-impact-model
January 23, 2026 – Present
🇺🇸 Production Leontief Input-Output model forecasting Trump 2025 tariff impacts using 100% PUBLIC BEA/BLS data
View ProjectNovaCart-Inventory-Optimization
January 15, 2026 – Present
End-to-end inventory optimization project for an e-commerce warehouse, combining demand forecasting, SKU segmentation, safety stock, reorder point calculation, and scenario-based stress testing with automated testing and CI.
View ProjectRepo2Report
January 11, 2026 – Present
Repo2Report ⚡ The AI-Powered Data Science Auditor. Instantly convert GitHub repositories into professional, portfolio-grade documentation and technical deep dives using Llama 3 & Groq.
View Projectchurn_spark_pipeline
January 1, 2026 – Present
A PySpark application for predicting customer churn. Features a modular architecture, distributed ETL pipelines, and hyperparameter tuning using Spark MLlib Cross-Validation.
View Projectgen-ai-chatbot-langchain
December 23, 2025 – Present
AI-powered Q&A chatbot built with LangChain and OpenAI. Demonstrates RAG (Retrieval-Augmented Generation) pipeline and Streamlit deployment.
View ProjectFinSight
December 19, 2025 – Present
An autonomous multi-agent investment analyst powered by Llama-3, LangGraph, and XGBoost. Features a real-time dashboard for technical analysis, news sentiment (VADER), fundamental RAG research, and strategy backtesting.
View Projectlogistics-os
December 12, 2025 – December 13, 2025
LogisticsOS: An AI-powered command center for visualizing global supply chain networks.
View ProjectAutomated-Data-Warehouse
December 3, 2025 – December 3, 2025
End-to-end Financial Data Engineering project. Built a Dockerized PostgreSQL data warehouse with an automated Python ETL pipeline. Features advanced SQL transformations (Window Functions) and a live Streamlit dashboard for real-time crypto/stock analysis.
View Projectdieselgate-causal-impact
December 3, 2025 – Present
Quantifying the financial impact of the 2015 Volkswagen emissions scandal using Causal Inference and Synthetic Control methods. Models the 'Counterfactual VW' stock price using competitor data to measure the exact shareholder value lost.
View ProjectMobile-Games-AB-Testing
December 3, 2025 – Present
A statistical analysis of a mobile game A/B test (n=90k) using Bootstrapping and Permutation Tests. Proved that delaying the 'gate' to Level 40 significantly reduces player retention and engagement.
View ProjectCultural Fit Analysis
The candidate's extensive personal projects indicate a strong passion for data science and continuous learning, which aligns well with an innovative culture. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit, particularly regarding collaboration and corporate environment adaptability. The projects are diverse, but all are personal, which limits insight into how the candidate operates within a team or organizational structure.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. The candidate's project descriptions suggest a proactive and self-directed individual, but direct evidence of teamwork, communication, or stress handling is absent.