BCA (Data Science) student with 9+ months building scalable backend systems, end-to-end ETL/ML pipelines, and production-ready Flask APIs at REGex Software. Proficient in Python, SQL, Flask, Pandas, scikit-learn, and Docker — seeking a fresher role in Data Analytics, Data Engineering, or Backend Development.
A quick look at who I am, what I study, and where I'm headed.
I'm a BCA (Data Science) student at Commerce College Jaipur, currently in my final year, and a Data Science Intern at REGex Software Services with 9+ months of hands-on experience. My work spans building scalable backend systems, designing end-to-end ETL/ML pipelines, and deploying production-ready Flask APIs.
I'm comfortable across the full data and backend stack — from writing optimized SQL JOIN queries and designing normalized relational schemas, to training scikit-learn ML models, to containerizing applications with Docker, to building AI-powered agents with LLMs. I care about clean, well-structured code as much as the insight it produces.
Seeking a fresher role in Data Analytics, Data Engineering, or Backend Development at a high-impact organization where I can apply my skills in Python, SQL, Flask, and machine learning to solve real-world problems at scale.
From raw CSVs to Dockerized production APIs — here's my full stack.
AI agents, ML APIs, Dockerized apps, and data pipelines — built end to end.
Full-stack AI agent that scrapes live Amazon product data and feeds it to a Groq-hosted LLaMA 3.3 70B model to generate structured research summaries including price comparisons, review sentiment, and recommendations.
Customer Churn API (Random Forest + SMOTE on 10,000+ records) and Insurance Charge Prediction API (Linear Regression). Compared LR, DT, RF, and SVM models; served real-time predictions via Flask REST endpoints.
Full-stack car booking app with end-to-end booking flows, user auth, and feedback collection. Normalized MySQL schema with FK constraints. Containerized with Docker multi-container networking (Flask + MySQL) for production-ready deployment.
Multi-page cafe web app with reusable components.js module
that auto-injects navigation and footer at runtime across 6 pages.
Flask backend handles routing and form submissions with accessibility-first
semantic HTML5 design.
End-to-end ETL on Employee Attrition (1,400+ records), COVID-19, and Titanic datasets. Handled nulls, encoded categoricals, removed outliers — uncovering demographic and geographic patterns via univariate and bivariate analysis.
Normalized relational MySQL schema with FK-linked tables for bookings, users, and resources. RESTful Flask API with full CRUD, optimized INNER/LEFT JOIN queries, and Docker containerization for consistent multi-environment deployment.
10+ months of hands-on data science and backend engineering inside a live team.
Verified credentials and ongoing coursework.
I'm actively seeking fresher roles in Data Analytics, Data Engineering, or Backend Development. My inbox is always open.