Data Scientist & ML Engineer

Sahil Ahuja

Krishna Nagar, Delhi

I +91-987******* # *************@*****.*** ï Linkedin § Github Ð LeetCode EDUCATION

ABES Engineering College, Ghaziabad 2022 – 2026

B.Tech in Electrical and Computer Engineering CGPA: 7.8 SLS D.A.V. Public School, Ghaziabad 2018 – 2020

Senior Secondary Education (CBSE) Percentage: 91.5% Professional Experience

AAA2 Innovate Pvt. Ltd. February 2026 – August 2026 Data Scientist Promoted from Data Science Intern Delhi

• Data Warehousing & Trade Analytics: Built a multi-country customs duty warehouse (India, EU, US) spanning 12,500+ HSN codes, unifying drawback, RoDTEP, FTA/MFN rates, and CEPA/CECPA corridor tracking with UN Comtrade data and batch validation.

• Entity Resolution: Developed a large-scale enrichment pipeline cross-referencing 218,000+ companies against MCA/ROC and GST records using multi-phase, confidence-scored matching.

• Predictive Modeling & Systems Engineering: Built XGBoost models for credit-risk scoring (AUC 0.911+) and freight-rate prediction, backed by a 4-tier thread-safe caching and realtime engine. BLuePi Consulting Pvt. Ltd. October 2025 – February 2026 Data Analysis Intern Delhi

• Analyzed large-scale datasets using SQL and BigQuery to build automated pipelines and provide actionable business insights.

PROJECTS

Trade AI- Trade Intelligence Agent2 Python, pgvector, FastAPI, LangGraph, Docker

• Architected a four-layer production trade-compliance platform spanning 233 countries and 25 FTA agreements, a FastAPI service layer, a pgvector semantic retrieval layer, and a LangGraph tool-calling agent.

• Built idempotent, content-hash-keyed ingestion/embedding pipelines and verified the system end-to-end with 100%-coverage stratified audits; deployed live with JWT auth, async caching, and Postgres-backed session persistence. Customer Credit Risk Prediction2 Python, Scikit-learn, FastAPI, ML

• Built an end-to-end credit risk scoring pipeline, from XGBoost model deployment to real time backend scoring.

• Processed 5,00,000+ live customer records with automated risk categorization and dashboard analysis.

• Improved model AUC to 0.911+ using WOE and IV-driven feature engineering. Drone Detection App2 OpenCV, YoloV8, Python, Machine Learning, Django

• Built a real-time YOLOv8 + OpenCV detection system to speed up perimeter-security response, with automated spatial localization and instant email alerts on intrusion.

• Added live bounding-box visualization with confidence scoring, improving operator trust and cutting manual false-alarm review time.

• Shipped a full-stack, globally accessible web interface, enabling multi-site security monitoring from a single deployment. TECHNICAL SKILLS

Languages: Python, SQL, C, C++, HTML5, CSS

AI & Data Engineering: ETL/Data Pipelines, Web Scraping (Selenium, Playwright, httpx), RAG/LLM Pipelines, LangGraph, Data Warehousing, BigQuery

Machine Learning: Scikit-learn, XGBoost, Feature Engineering, Predictive Modeling, Computer Vision (YOLOv8, OpenCV)

Tools & Databases: FastAPI, MongoDB, PostgreSQL, Supabase, Weaviate (Vector DB), Power BI, Tableau, Git/GitHub, Docker

CERTIFICATIONS

Deloitte – Data Analytics Oracle – Artificial Intelligence AWS – Fundamentals Leadership and Activities

• National Level Debater – Speak for India Debating Competition Semi-Finalist

• Polished teamwork skills by volunteering as Coordinator at TEDx ABESEC 2024

• Top-notch Communication skills – Multiple Awards in Model United Nations

• Published 20+ SEO articles as a Content Writer (5+ years of experience)

• Content Coordinator – GeeksforGeeks Student Chapter

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