About

🧙‍♂️ Muggle by day but I cast code spells with the precision of a Lumos Maxima incantation.

I am a developer who is passionate about all things tech and often on the look out for the next big thing. I recently graduated with a Masters in Computer Science from George Mason University, with a background in Predictive Modeling, Distributed system, and Building Component based Software. Working for the tassel was not just about hitting the books but about discovering how much I loved solving complex problems and turning abstract ideas into real, working solutions.

I enjoy the quiet focus of solo coding sessions late at night, but I also thrive on the buzz of collaboration, bouncing ideas off others, and finding the best way forward together.

I love working with design patterns to build quality software. Every bug I squash and every feature I add feels like a small victory, and it's those little wins that keep me coming back for more, day after day.

Beyond the lines of code, you will probably find me lost reading fiction, traversing tales untold

So, that's a bit about me. I'm always excited to connect with fellow enthusiasts and explore how we can create something extraordinary together. Let’s connect and see where our shared passions can take us!

Projects

  • Tech Folio
  • ML
  • Web-App

Fire Evacuation: Q-Learning with Hybrid Detection

Advance Data Analysis and Predictive Modeling

Sentiment Analysis with Counselling Chatbot

Delay prediction in operation of flights

Spam VS Ham - Email Classification

Crop Classification with Satellite Imagery

Feedback Management System

Student Information Web Portal

Savour Vault - MERN Stack

Skills

Programming

Python, C, C++, HTML5, CSS3, MySQL

Frameworks

Bootstrap, TensorFlow, PyTorch, OpenCV, Scikit-learn

Data Visualization

Microsoft Excel (PivotTables, PivotCharts), Tableau, matplotlib, seaborn, Plotly

DevOps and Version Control

AWS, GCP, Git, Jenkins, Docker

Certifications

Data Analytics Consulting Virtual Internship

KPMG

In-Depth Analysis of real-world datasets, Predictive modelling with advanced statistical methods

Data Science with R Language

Prag Robotics, India

Built a model for predicting the onset of Parkinson's. Achieved an accuracy of 94.87% with XG Boost

Deep Learning Essentials

IBM

Convolutional neural networks to improve image recognition and classification accuracy, Deep Learning algorithms for pattern creation and prediction.

Software Engineering Virtual Experience

JP Morgan Chase & Co

Software development and Engineering Principles, Coding, Debugging, Software Testing and deployment.

Contact information

Reach out and let's spark some tech magic together. Can't wait to hear from you!

I Live In

San Francisco Bay Area

Social Profiles