Data Science with less than a year in AI, ML, and full-stack development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven B.Tech student specialising in Artificial Intelligence & Data Science with a minor in Computer Science Engineering at MSRIT, Bengaluru. Proficient in machine learning, full-stack development, and data analytics with hands-on experience building end-to-end ML pipelines, real-time data systems, and scalable web applications. Skilled at translating complex datasets into actionable insights.
M.S. Ramaiah Institute of Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – Present
D.B. Public School & PU College
CBSE Class XII · Higher Secondary Certificate
June 1, 2020 – May 31, 2021
DAV Public School
CBSE Class X Board Examination
N/A – Present
Bluestock Fintech
Data Analyst Intern
October 1, 2025 – Present
Bengaluru, Karnataka, India
Cube
Growth & Strategy Intern
January 1, 2025 – December 31, 2025
India
Lost & Found Database Management System
June 24, 2026 – Present
• Built a full-stack web application (React, Node.js, Express.js, MySQL) enabling 500+ campus users to report and claim lost items via a centralised portal. • Implemented JWT-based authentication and an admin dashboard that streamlined approval workflows, reducing manual item-management overhead significantly. • Integrated image-upload and identity-verification features, improving item-identification accuracy and reducing false-claiming incidents.
Real-Time Stock Price Analysis
June 24, 2026 – Present
• Designed a real-time data pipeline using Apache Kafka and PostgreSQL, enabling sub-second ingestion and concurrent analysis of multiple ticker symbols. • Built predictive models (LSTM, SVM, Random Forest) combining time-series analysis with sentiment signals to improve trend forecasting accuracy. • Reduced data processing latency by implementing a robust multi-layer architecture supporting high-throughput live market feeds.
Impact of MGNREGA on Rural Migration
June 24, 2026 – Present
• Developed Random Forest and LSTM predictive models for demand forecasting and fund allocation, improving labour-supply management for rural employment programmes. • Applied K-Means and Hierarchical Clustering to segment worker populations and enable geospatial worksite planning across multiple districts. • Integrated sentiment analysis and a chatbot support system, providing real-time programme assistance to over 100 rural households.
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data science skills, from financial analysis to social impact (MGNREGA) and campus management. This breadth of interest and application, combined with experience in both data analysis and growth strategy internships, suggests adaptability and a willingness to tackle varied challenges. The target role of Data Science aligns well with the candidate's academic specialization and project work, indicating a strong interest and potential for cultural fit within a data-centric team.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven attitude and the ability to translate complex datasets into actionable insights. Project descriptions indicate collaboration and problem-solving skills. The internship experiences suggest an ability to work in a professional setting and contribute to strategic initiatives, which aligns with operational fit for a data-driven role.