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AI Engineer with less than a year in AI/ML & Data Science
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Data science enthusiast with hands-on experience building dashboards, AI-powered tools, and economic research. Proficient in Python, SQL, R, and Excel. Experienced in deploying LLM-based applications, RAG pipelines, and AI-integrated analytics products. Seeking a data analyst role to drive measurable business outcomes through rigorous analysis and clear communication.
Shiv Nadar University
B.Sc. Economics (Data Science) · Economics (Data Science)
August 1, 2023 – June 30, 2026
Hitech Arai Pvt. Ltd.
Data Analyst Intern
May 1, 2025 – July 1, 2025
Tamil Nadu, India
Research: The Great Financial Crisis (2008)
June 1, 2026 – Present
Analyzed macroeconomic indicators (GDP, inflation, unemployment) across 2006–2012 to model 2008 crisis causality; identified housing bubble dynamics and systemic leverage as primary triggers.
Infrastructure Monitoring Dashboard - Govt. of Tamil Nadu
June 1, 2026 – Present
Converted Excel reports into a structured, queryable database, reducing time to locate project status from hours to seconds. Built a RAG (Retrieval-Augmented Generation) pipeline with LangChain and vector embeddings for semantic search over project documents enabling component-level delay detection and early identification of at-risk infrastructure projects. Delivered an interactive public-sector dashboard monitoring live project health across multiple districts; used by the Directorate of Municipal Administration.
Student Database Management System
June 1, 2026 – Present
Designed a normalized relational database schema to manage student records, reducing redundant data entry and maintaining referential integrity across tables. Wrote optimized SQL queries for multi-condition retrieval and bulk updates, demonstrating practical query performance and database design skills.
TradeSense AI — AI-Based Stock Analysis Application
June 1, 2026 – Present
Developed a full-stack AI web application with a financial chatbot powered by LLM API integration and interactive candlestick charts, enabling users to analyze Indian and US stocks in one interface - reducing manual lookup time significantly. Applied prompt engineering techniques to optimize chatbot response quality for financial queries; integrated RSI, MACD, and moving average indicators with real-time market data and API fallback logic, ensuring 99%+ uptime. Designed a stock comparison feature for side-by-side ticker benchmarking, directly supporting data-driven investment decisions.
Stock Market Analytics Dashboard
June 1, 2026 – Present
Developed an interactive dashboard integrating live Yahoo Finance data with technical indicators for real-time equity analysis without manual data export. Deployed as a live web application, demonstrating end-to-end product development from data ingestion to user-facing data visualization.
View ProjectResearch: Deglobalization & Gender Pay Gap
June 1, 2026 – Present
Applied regression analysis and econometric methods to quantify how deglobalization trends correlate with income inequality - paper cited structural trade shifts as a key driver.
Foundations: Data, Data, Everywhere
Google (Coursera)
June 1, 2026 – Present
Google Data Analytics Capstone: Complete a Case Study
Google (Coursera)
June 1, 2026 – Present
Business Analysis and Process Management
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including personal, professional (government project), and academic projects, indicates a broad interest and ability to apply skills in various domains. The involvement in university clubs and activities suggests a proactive and collaborative mindset. However, the candidate is still an undergraduate with limited professional experience, which might require more mentorship and integration into a senior team environment. The target role of 'AI Engineer' aligns well with the AI/ML projects undertaken, demonstrating a clear career interest.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as documentation, reporting, stakeholder communication, fast learning, and teamwork. The internship experience involved auditing data, analyzing survey responses, and streamlining communication workflows, indicating an ability to work within operational contexts and communicate findings. However, the depth of experience in these areas is limited due to the candidate's early career stage.