VARUNADHITHYA M

Data Scientist

Chennai, India 80 · Excellent

About

Ambitious Computer Science graduate with a strong foundation in Data Science, Machine Learning, and Analytics. Tech-savvy programmer proficient in Python, SQL, and the data science ecosystem (Pandas, NumPy, Scikit-learn). Experienced in data cleaning, predictive modeling, and feature engineering, with a keen eye for translating statistical analysis into actionable insights through data visualization. Ready to contribute technical expertise to high-impact data initiatives.

Skills & Expertise (36)

Python Advanced

9.0/10

Years Exp

Pandas Advanced

8.5/10

Years Exp

NumPy Advanced

8.5/10

Years Exp

Computer Vision Advanced

8.5/10

Years Exp

scikit-learn Advanced

8.5/10

Years Exp

Keras Advanced

8.0/10

Years Exp

TensorFlow Advanced

8.0/10

Years Exp

MySql Advanced

8.0/10

Years Exp

Git Advanced

7.5/10

Years Exp

Excel Advanced

7.5/10

Years Exp

AWS Cloud Foundations Intermediate

7.0/10

Years Exp

React.js Intermediate

7.0/10

Years Exp

Java Intermediate

6.5/10

Years Exp

Regression Analysis Seaborn PIL OpenCV Data Augmentation CNNs VLOOKUP Pivot Tables Selenium Postgresql Spring Boot Jupyter Notebook VS Code GitHub Charts Clustering Classification Regression Matplotlib Subqueries Aggregations Joins Queries

Work Experience

Developer

Food Recognition and Calorie Estimation System

Oct 2025 - Oct 2025

Architected a Dual-Purpose Deep Learning Pipeline leveraging InceptionV3 via transfer learning, integrated with Global Average Pooling and Dropout layers to accurately classify multi-class food images. Engineered a Calorie Estimation Regression Layer that maps classification results to a secondary dataset, predicting caloric content to enable real-time nutritional tracking. Optimized Network Convergence & Generalization using Stochastic Gradient Descent (SGD) paired with data augmentation (shear, zoom, horizontal flips) to minimize overfitting. Enhanced Model Transparency by incorporating Class Activation Maps (CAMs) and activation layer heatmaps to visualize and validate the model's decision-making regions. Monitored Performance Metrics using validation loss and accuracy tracking to systematically save and deploy the highest-performing iteration of the model.

Developer

Placement and Internship Management System

May 2024 - May 2024

Developed a centralized platform to automate placement and internship processes for students and recruiters. Implemented modules for student registration, job postings, application tracking, and eligibility verification. Built scalable backend services using Java and Spring Boot to streamline recruitment workflows. Improved operational efficiency by reducing manual effort and enabling secure role-based access management.

Developer

Chess Academy

Apr 2023 - Apr 2023

Developed an online chess learning and gaming platform in a 3-member team, enabling users to learn and compete in real-time. Designed interactive user interfaces and backend services for player management, gameplay tracking, and tournament participation. Utilized MySQL and PostgreSQL for efficient data management and Selenium for automated testing. Enhanced platform reliability and user engagement through comprehensive testing and performance optimization.

Developer

Book My Stay

Jul 2022 - Jul 2022

Developed a hotel booking platform in a 3-member team to streamline room reservations and hotel management. Built responsive user interfaces using React.js and integrated RESTful APIs using Spring Boot. Designed and managed MySQL databases for customer, booking, and hotel information. Implemented secure booking workflows and CRUD operations, enhancing user experience and system reliability.