Data Science
Services
“I provide end-to-end data science solutions — from data cleaning
and exploratory analysis to building machine learning models
and deploying AI applications. My focus is on creating
insightful, practical, and scalable solutions that turn
raw data into meaningful outcomes.”


Exploring AI,
Sharing Insights,
Building Impacts.
Some of the
most impressive
projects i have
worked
These are just a few projects that I personally enjoy the most. I would be glad to show you a bunch of other projects that I have done so far. Would you like to have a look at them?
Multi-Layer Neural Network
To better understand the inner workings of deep learning, I built a multi-layer neural network from scratch. The goal was to classify data points into categories and experiment with various activation functions to observe their impact on performance. This project was less about using frameworks and more about grasping the mathematics behind forward propagation, backpropagation, and optimization.
Sprinters Biomechanics Analysis
Sports science offers exciting opportunities for data scientists. In this project, I analyzed the biomechanics of sprinters’ starting techniques to identify factors influencing performance in the first 30 meters of a sprint.
TrOCR OCR Model
OCR (Optical Character Recognition) is essential for digitizing text from images. As part of a team project, I worked on developing an OCR system using Hugging Face’s TrOCR library. The goal was to extract text from scanned documents and images with high accuracy.
Linear Regression from Scratch
Linear regression is the first step in most data science journeys — simple in concept yet foundational to understanding predictive modeling. For this project, I implemented a linear regression model completely from scratch using the California Housing dataset. Rather than relying on ready-made libraries, I focused on the underlying math and logic that make regression work.
My achievement
at a glance
Started journey into AI & Data Science

Built ML & DL projects from scratch (Regression, PCA, Neural Networks)

Participated in collaborative project using Hugging Face (TrOCR OCR model)

Expanded portfolio to applied ML (EDA, feature engineering, biomechanics research)

Actively sharing insights, tutorials, and building a public knowledge hub
