I'm an Electronics & Communication Engineering graduate from VIT Chennai (CGPA: 9.3) with a strong focus on Data Analytics, Generative AI, Machine Learning, and LLM applications.
I enjoy building end-to-end solutions that combine data, AI, automation, and business intelligence to solve real-world problems.
- 🤖 Generative AI & LLM Applications
- 📊 Data Analytics & Business Intelligence
- 🧠 Machine Learning & Statistical Modeling
- ✨ Prompt Engineering & AI Evaluation
- 🔍 Predictive Analytics & Fraud Detection
- ⚙️ AI-powered Automation & APIs
- 📈 Data Visualization & Decision Intelligence
Python SQL Java C R
Power BI DAX Power Query Pandas NumPy Matplotlib Excel MySQL Jupyter Notebook
Generative AI LLM Applications Claude API Prompt Engineering Scikit-Learn XGBoost Statistical Modeling Azure AI
Flask REST APIs Docker AWS Git Power Automate Microsoft SharePoint
An end-to-end machine learning system designed for fraud detection in the Indian BFSI domain.
- Engineered 284K synthetic transactions
- Built 42 domain/PCA features
- Developed an XGBoost fraud detection model
- Achieved 54% fraud recall with 2–3% false positives
- Built a production-ready Flask REST API
- Containerized the application using Docker
- Achieved <50ms inference latency
- Performed business impact analysis and precision-recall optimization
Tech: Python XGBoost Scikit-Learn Flask REST API Docker Machine Learning
An AI-powered analytics system integrating Claude API, MySQL, and Power BI to enable natural-language interaction with business data.
- Built an end-to-end data pipeline
- Enabled natural-language querying of business data
- Applied advanced prompt engineering
- Achieved 92% query accuracy
- Reduced manual reporting time by 65%
- Translated complex SQL queries into actionable business insights
Tech: Python Claude API MySQL SQL Power BI Prompt Engineering
A business intelligence project focused on extracting insights from transactional sales data.
- Used advanced SQL queries
- Applied
GROUP BY, window functions andRANK - Identified high-value customer segments
- Built interactive Power BI dashboards
- Analyzed sales trends and peak sales hours
- Improved sales insights by 60%
Tech: SQL MySQL Power BI DAX Data Analytics
July – August 2026
- Evaluated and validated 100+ AI-generated prompts and responses
- Assessed factual accuracy, relevance, coherence and language quality
- Identified model inconsistencies and response patterns
- Provided structured feedback for model improvement
- Worked with prompt engineering, GenAI evaluation and AI quality assurance
February – June 2026
- Built and validated 500+ structured databases across electronics, semiconductor and HVAC sectors
- Reduced data errors by 98% through data validation and normalization
- Developed market intelligence dashboards for Fortune 500 clients
- Automated workflows using Power Automate + Claude API
- Reduced reporting effort by 70%
- Built innovation radars and technology roadmaps tracking 200+ emerging technologies
Vellore Institute of Technology, Chennai B.Tech — Electronics & Communication Engineering 2022–2026 | CGPA: 9.3/10
- Claude 101 for Personal Use
- Microsoft Azure
- Data Analyst Foundation
- MySQL Data Analysis
- 🏆 Enactus Ideathon Winner — Jain University
- 🌱 Enactus VIT Chennai — Environmental Innovation & Sustainability
- 💻 Unstop Competitive Programming Participant
I'm particularly interested in opportunities involving:
Data Analytics • Data Science • Business Intelligence • Generative AI • LLM Applications • Machine Learning • AI Automation • Decision Intelligence
📧 Email: abhishachakrabarti@gmail.com 💼 LinkedIn: Abhisha Chakrabarti 📍 Kolkata, India