AI Engineer with 1+ years in Data Analysis, ML Pipelines & Full-stack Development
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Assessing your cultural and operational fit
Data Analyst skilled in data analysis, ML pipelines, and AI systems. Proven track record in building around SQL & SSMS, efficient data workflows at the intersection of Data and AI while working across production systems & building startup products.
Amity University
Masters of Computer Applications · Computer Applications
August 1, 2024 – June 30, 2026
St. Xavier's College
Bachelors in Political Science · Political Science
August 1, 2021 – June 30, 2024
366pi Technologies
Software Engineer Intern (Apprentice)
August 1, 2025 – January 1, 2026
Ranchi, Jharkhand, India
366pi Technologies
Database Mgmt./Full-stack Intern
June 1, 2025 – July 1, 2025
Ranchi, Jharkhand, India
Microsoft (AICTE)
AI Intern (Remote)
June 1, 2025 – July 1, 2025
India
Election Analysis - Voting Pattern
January 1, 2024 – June 1, 2026
Conducted end-to-end exploratory data analysis (EDA) on large-scale election datasets with heavy user scope, applying demographic segmentation, statistical modelling, and data mining to extract actionable insights on voting patterns, campaign effectiveness, and behavioural trends. Designed and delivered interactive Power BI and Streamlit dashboards translating complex voter data into decision-ready visualisations, driving a 40-45% improvement in demographic-wise strategy effectiveness.
ZeroCarbon - AI Sustainability Assistant & Compliance Advisor
January 1, 2024 – June 1, 2026
Eliminated ~50% of manual compliance reporting overhead by architecting an Agentic RAG pipeline (Claude Sonnet 3.7 via AWS Bedrock + ChromaDB) that autonomously queries and synthesises insights from enterprise sustainability documents. Operationalised real-time ESG and carbon footprint data via Climatiq API, applying ReAct LLM reasoning to convert raw emissions data into context-aware, decision-ready compliance insights for stakeholders.
DemandPulse - Intelligent Demand Forecasting MLOps Platform
January 1, 2024 – June 1, 2026
Solved demand unpredictability by engineering an end-to-end forecasting analytics pipeline - automating data ingestion (Airflow), ensemble modelling (XGBoost + LightGBM + Prophet), and experiment tracking (MLflow) to deliver accurate, production-ready demand predictions with measurable business value.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to diverse domains like election analysis, sustainability, and demand forecasting. Their experience as an intern in both software engineering and AI roles, coupled with a non-traditional academic background (Political Science), suggests adaptability and a broad perspective, which can contribute positively to team diversity and problem-solving approaches. The target role of AI Engineer aligns well with their project work and internship experiences.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, independent work (sole backend developer), and collaboration with founders, indicating strong initiative and operational fit for dynamic environments. Their involvement in leading voter awareness campaigns also suggests leadership and communication skills.