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Data Engineer with less than a year in Big Data Analytics & ML Pipelines.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CS student specializing in Big Data Analytics, building end-to-end data pipelines, ML models, and backend APIs across blockchain, financial markets, and large-scale transportation data. I build things because the problem interests me, not because it was assigned.
Ganpat University
B.Tech · Computer Science Engineering (Big Data Analytics)
N/A – June 30, 2027
Igniis Tech
FRONTEND DEVELOPER INTERN
December 1, 2025 – June 1, 2026
India
NSE ANALYTICS DASHBOARD
June 24, 2026 – Present
Built a full-stack web app that fetches, processes, and stores market data daily. Built a Flask backend with JWT auth, role-based access, brute-force lockout, and rate limiting. Processes and stores market data for 1000+ NSE-listed stocks daily.
Urban Mobility Demand Forecaster
January 1, 2022 – December 31, 2023
Built an end-to-end forecasting platform on 40M+ NYC taxi trips (2022-23). Engineered DuckDB pipelines for multi-GB Parquet ingestion and feature-engineered 38 temporal/spatial signals. Served predictions through a FastAPI + React dashboard with real-time choropleth visualization and anomaly detection.
Cultural Fit Analysis
The candidate's diverse personal projects (financial analytics, urban mobility forecasting) demonstrate a broad interest in applying data engineering skills to different domains. The self-driven nature of these projects aligns well with a culture that values initiative and continuous learning. The stated specialization in Big Data Analytics and the variety of tools and technologies explored (Flask, FastAPI, DuckDB, Parquet, AWS, Delta Lake) indicate a strong desire to grow and adapt, which is beneficial for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive, problem-solving attitude, as highlighted by 'I build things because the problem interests me, not because it was assigned.' This suggests strong intrinsic motivation and initiative. The collaboration experience as a Frontend Developer Intern also points to an ability to work within a team, visualizing model outputs for AI/ML engineers.