Ashwin Balaji T R | Data Scientist

About Me

Data Scientist | ML Engineer | AI Enthusiast

Passionate data scientist with a knack for turning complex data into meaningful insights and innovative solutions. Driven by curiosity and creativity, with a deep love for exploring AI, Machine Learning, and the endless possibilities they bring. Continuously learning, growing, and pushing the boundaries of what's possible with data.

My Journey

Education

Aug 2024 - May 2026

M.S in Data Science - The George Washington University

CGPA : 4 out of 4

Jun 2019 - Apr 2023

B.E in CSE - Chennai Institute of Technology

CGPA : 9.1 out of 10

Sep 2021 - Aug 2022

PGP - Imarticus Learning (Certification)

Completed PGP in Data Analytics and Machine Learning

Experience

Jan 2023 - Jul 2023

Data Science Intern @ HealthArk Insights

Engaged in a real-time healthcare project leveraging NLP, applying advanced techniques to analyze and extract insights.

Aug 2022 - Oct 2022

Data Science Intern @ Tenzai System

Gained practical knowledge in SQL and various data science concepts, enhancing skills in data manipulation and analysis.

My Skills

Coding & Cloud Platform

Python

R Programming

AWS

Google Cloud Platform

Hadoop

Java

Javascript

HTML

CSS

Data Science

Statistics

Machine Learning

Deep Learning

MySQL

Big Data Analytics

NLP

Computer Vision

Tableau

Power BI

Others

Git & Github

Microsoft Excel & Powerpoint

Anaconda & Jupyter

Visual Studio

Data Science Packages & Algorithms :

NumPy, Pandas, Matplotlib, Sklearn, Nltk, Tensorflow, PyTorch, Spacy, Seaborn, Plotly, ggplot

PyCharm & PySpark

Android Studio

Latest Works

Animal Cateogorizer

This project utilizes a deep learning approach, specifically the VGG16 model, to categorize animals based on input images. By leveraging advanced image recognition techniques, the system accurately classifies and categorizes various animal species, enabling efficient and automated animal identification.

Handwritten Digit Recognition

This project employs machine learning and deep learning techniques to accurately recognize and classify handwritten digits from the MNIST dataset, enabling efficient and automated digit recognition tasks.

Heart Disease Prediction

This project utilizes boosting algorithms in supervised machine learning to accurately predict and classify the presence of heart disease, aiding in early detection and proactive medical intervention.

News Recommendation System

This project leverages natural language processing (NLP) and machine learning (ML) techniques to analyze user preferences and provide personalized news recommendations, enhancing the user's news reading experience and promoting content engagement.

Tic Tac Toe

This application offers a Java-based implementation of the popular Tic Tac Toe game, allowing players to enjoy the timeless fun of strategic gameplay in a digital format.

Score 17 - CGPA Calculator

This application offers a user-friendly Java application for calculating CGPA (Cumulative Grade Point Average) for students of Anna University, providing a convenient tool for academic assessment and progress tracking.

Hello, It's Me

Aswin Balaji Thippa Ramesh

And I'm a