Motivated Data Science student with 6 months of software development experience and strong analytica
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Motivated data science student with hands-on Python experience, focused on growing skills in fast-moving environments. Eager to support innovative data projects and learn from industry experts. Committed to continuous learning, collaboration, and contributing meaningful insights that drive data-driven decision-making.
Amrita Vishwa Vidyapeetham, Coimbatore
Integrated MSc Data Science · Data Science
September 1, 2022 – June 1, 2027
Kendriya Vidyalaya No.2 Uppal, Hyderabad
Higher Secondary Education · Mathematics, Biology, Physics, Chemistry
August 1, 2020 – June 1, 2022
Helyxon Healthcare Solutions Pvt. Limited
FrontEnd Developer Intern
October 1, 2025 – March 1, 2026
India
WALLNUT- A Finance Tracker and Planner
March 1, 2026 – March 1, 2026
Developed a Flutter-based finance tracker and planner app with collaborative expense tracking, user-defined spending categories, data visualization, and an ML model to predict monthly expenses and optimize budgets based on user-defined savings goals.
Stock AI Agent
February 1, 2026 – February 1, 2026
Built a cloud-deployed AI agent for stock signal generation integrating LLM reasoning, financial indicators, Flask dashboard, SQLite logging, and automated email alerts.
U-Net based Breast Cancer Detection of Mammograms with DCNN Feature Extraction
January 1, 2026 – February 1, 2026
Built a CNN-based breast cancer detection model using ResNet and VGG architectures on a mammography dataset, applying image preprocessing, augmentation, and performance evaluation using standard classification metrics.
Market Regime-Aware Adaptive Stock Classification using LLM guided RL
December 1, 2025 – February 1, 2026
Developed a reinforcement learning-based stock trading framework that integrates financial news sentiment (FinBERT) and market volatility model (EWMA) to improve trading decisions, evaluated using metrics such as cumulative return and Sharpe-like ratio.
Movie Reviews Rating using Sentimental Analysis
August 1, 2025 – August 1, 2025
Implemented ML models to analyze movie reviews and perform sentiment analysis using web-scraped data.
2048 Game Bot using Reinforcement Learning
June 1, 2025 – October 1, 2025
Created a game bot for 2048 game using RL algorithm DQN (Deep Q Networks) using Pytorch library and basic python skills.
Fake News Detection using Machine Learning
March 1, 2025 – April 1, 2025
Developed an ML-based system to detect fake news and perform sentiment analysis on customer reviews (positive, negative, neutral) using web scraping.
Patient Management System
September 1, 2024 – September 1, 2024
Developed a web application that centralizes disease-combative medical drive information and enables coordination between NGOs and hospitals to improve healthcare access and participation.
Introduction to Statistics
Stanford University through Coursera
May 1, 2025 – Present
Data Analytics using Excel Certification Course
Unknown
January 1, 2025 – Present
PowerBI: Data Visualization Tool
Unknown
December 1, 2024 – Present
Data Structures and Algorithms: The complete Bootcamp
Unknown
July 1, 2023 – Present
The Complete Python Bootcamp- From zero to hero in Python
Unknown
August 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse applications of data science, from healthcare to finance and gaming, indicating adaptability and a broad intellectual curiosity. Participation in a hackathon and volunteering activities suggests a collaborative spirit and engagement beyond academics. The objective statement emphasizes learning and collaboration, aligning well with a growth-oriented and team-focused culture. The frontend internship, while not directly data science, shows versatility and a willingness to learn new domains.
Soft Skills & Operational Fit
The candidate's objective statement highlights a commitment to continuous learning, collaboration, and contributing meaningful insights, which are positive indicators for operational fit. Project descriptions suggest an ability to work on diverse problems and integrate various technologies. The internship experience, though frontend-focused, shows exposure to full-stack development and project delivery within a team context.