Open to Data Science Opportunities

Vasanth
P.

From preparing for India's toughest competitive examinations to building AI-powered systems, my journey into Data Science is rooted in resilience, curiosity, and continuous learning. Currently pursuing MCA while crafting machine learning and analytics solutions focused on real-world impact. Based in Salem, Tamil Nadu.

93%
Model Accuracy
3+
Live Projects
Journey

From Humanities
to Artificial Intelligence

My academic journey began with a Bachelor's degree in History, followed by five years preparing for Civil Services examinations. That phase strengthened my discipline, research ability, consistency, and analytical thinking.


In 2024, I discovered Data Science through a seminar conducted by ICLA in collaboration with Education Japan. The experience sparked my interest in AI, Machine Learning, and data-driven problem solving, leading me to transition into technology.


I later completed a Master Data Science program through GUVI-HCL and began building practical projects in Machine Learning, Deep Learning, NLP, and analytics. Currently, I am pursuing an MCA degree while continuously developing real-world AI solutions and strengthening my technical expertise.

Expertise

Technical
Toolkit

Machine Learning
Linear Regression Logistic Regression Decision Tree Random Forest XGBoost K-Means
🧠
Deep Learning
ANN CNN RNN Transfer Learning ResNet50 MobileNet
👁️
Computer Vision
Image Classification Object Detection Segmentation OpenCV
💬
NLP & LLMs
BERT DistilBERT GPT-4 RAG Fine-tuning (LoRA) NER
🛠️
Frameworks & Tools
TensorFlow PyTorch Scikit-learn Keras Streamlit Pandas
☁️
Cloud & Data
AWS MySQL Python Data Engineering API Integration
Work

Featured
Projects

02
Brain Tumor Classification
using Deep Learning
93% Accuracy
7K+ MRI Scans
18% Misclassification ↓

AI-powered diagnostic system for MRI-based brain tumor classification. Built multi-architecture CNN pipeline with ResNet50 and MobileNet, with augmented data preprocessing across 7,000+ scans.

TensorFlow Keras Transfer Learning CNN Streamlit
View Project →
03
Shopper Spectrum
E-Commerce Intelligence
22% Relevance Boost
RFM Analysis Method

AI-based customer segmentation engine analyzing purchase behavior with K-Means clustering and collaborative filtering for personalized product recommendations in e-commerce.

K-Means Collaborative Filtering RFM Analysis Scikit-learn Streamlit
View Project →
Background

Education &
Certifications

2025 — Present
Master of Computer Applications (MCA)
Manipal University of Jaipur · Salem, Tamil Nadu
2024 - 2025
Master Data Science Program
GUVI · HCL
Jun 2016 — May 2019
Bachelor of Arts in History
Bharathidasan University · Trichy, Tamil Nadu
Certificates
Industry Certifications
Master Data Science Program Python Zero to Hero MySQL Data Analysis with Pandas Probability & Statistics Intro to Machine Learning Deep Learning Fundamentals
Let's Talk

Open to
New Roles

Currently seeking Data Science / ML Engineer internships & full-time roles.