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AI & Data Science Engineer in progress (BE – AI & DS) Hands-on experience in Machine Learning & Computer Vision Skilled in Full-Stack Development MERN
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stadium-Sync-
May 11, 2026 – Present
AI-powered stadium mobility platform — real-time crowd heatmaps, match-end prediction, and transit orchestration. Built offline-first with Jetpack Compose + FastAPI.
View ProjectLearnBe
April 11, 2026 – Present
AI-powered study app built with React Native & Expo. Generate summaries, flashcards, quizzes, and study plans in real time using Claude AI — personalized to your learning style. Features streaming output, streak tracking, quiz engine, and a full content library.
View ProjectForenXAI
March 30, 2026 – Present
ForenXAI is an explainable AI-powered financial forensics platform that detects anomalous transactions in real time and provides transparent, interpretable insights for auditors and compliance teams.
View Projectvasundhara-climate-platform
February 21, 2026 – Present
vasundhara-climate-platform — GitHub repository
View ProjectEkip_Bhaskar_CME_Event
July 5, 2025 – July 8, 2025
Explore the detection and prediction of Halo Coronal Mass Ejections (CMEs) using Aditya-L1's Solar Wind Ion Spectrometer (SWIS) data. This project processes Level-2 data with Python to develop an early warning system for space weather, validated against the CACTUS database.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML and data-driven solutions, which aligns well with a Data Scientist role. The diversity of projects, from space weather prediction to financial forensics and educational apps, indicates a broad interest in applying AI across different domains. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.