AI Engineer with less than a year in Python, Machine Learning, and Data Analysis through academic an
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Assessing your cultural and operational fit
B.Sc. Data Science graduate with hands-on experience in Python, SQL, Machine Learning, Data Analysis, and backend development through academic and personal projects. Built and deployed applications involving analytics, AI, REST APIs, and data-driven solutions using modern tools and frameworks. Skilled in translating data into insights and developing practical solutions. Seeking entry-level opportunities in Data Science, Data Analytics, ML Engineering, SQL, or Python Development.
Thakur Shyamnarayan Degree College, University of Mumbai
B.Sc. · Data Science
N/A – June 30, 2026
Prerna Edu Pro
Data Science Intern
January 1, 2025 – March 1, 2025
India
LIV-AI - Human-AI Collaborative Decision Support System
January 1, 2026 – Present
Built a liver disease risk predictor (88.1% Recall) using a Random Forest ensemble optimised for clinical use where false negatives are life-threatening. Integrated dual Explainable AI (SHAP + LIME) and a Human-in-the-Loop (HITL) Active Learning system with SQLite backend — clinicians override predictions to dynamically retrain the model and reduce data drift.
View ProjectVC Copilot - AI Assistant for Venture Capital Analysts
January 1, 2026 – Present
Built a RAG-based AI assistant that lets analysts query financial documents (pitch decks, deal memos, investor reports) in plain English — answers are source-cited and grounded, eliminating hallucinations. Engineered a knowledge graph of companies, investors, and risks enabling relationship queries beyond text search; turns a pile of financial PDFs into a smart, conversational database.
View ProjectTaskMaster - Full-Stack Task Management System
January 1, 2026 – Present
Built a full-stack web app with Flask REST API (full CRUD), PostgreSQL via SQLAlchemy ORM, bcrypt authentication, and real-time task notifications using Flask-SocketIO WebSockets. Integrated a Pandas + NumPy analytics module with live productivity scores, task completion trends, and priority breakdowns — deployed live on Render.
View ProjectCredit Approval System - Loan Processing Engine
January 1, 2026 – Present
Designed a credit scoring engine (0-100) with EMI safety logic (total EMIs ≤ 50% of salary) and automated loan approval decisions via REST API endpoints. Fully containerised with Docker Compose; async Celery + Redis workers process large datasets without blocking API — deployable with a single docker-compose up command.
View ProjectDeloitte Data Analytics Virtual Simulation
Forage
June 1, 2026 – Present
Power BI Workshop
OfficeMaster
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong drive for learning and applying diverse technologies across various domains (healthcare, finance, task management). This indicates a curious and adaptable mindset, which is beneficial for cultural fit in a dynamic AI engineering role. The focus on practical, deployable solutions aligns with a results-oriented culture. However, the lack of team-based projects or open-source contributions makes it difficult to assess collaboration and broader cultural alignment beyond individual initiative.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving approach, particularly in optimizing models for specific use cases (e.g., high recall for medical diagnosis) and integrating advanced features (e.g., HITL, knowledge graphs). The deployment of projects live on platforms like Render and Streamlit suggests an understanding of end-to-end development and operational aspects. However, with only one internship, direct experience in a collaborative, production-level environment is limited.