About Me
Hi there! I'm a passionate Data Scientist currently pursuing my Master's in Electrical Engineering at the University of Southern California. With a deep love for storytelling and movies, I dream of merging the world of AIML and cinema to create captivating narratives. My journey is driven by a desire to innovate and inspire through the fascinating lens of artificial intelligence.
Work Experience
Radical X
AI Engineer Intern
Model Development
API Utilization
Web based AI-Integration
Python
AI Driven Automation
Deloitte USI
Analyst -Data Science Specialist
CLOUD COMPUTING
A/B TESTING
BUSINESS INTELLIGENCE
DATA VISUALIZATION
Data Engineering
ETL
Education
MS in Electrical Engineering
University of Southern California
The University of Southern California (USC) is a globally renowned institution recognized for its excellence in engineering, research, and technological innovation. During my graduate studies, I built a strong foundation in machine learning, deep learning, computer vision, and digital image processing, focusing on AI-driven image and video analysis. My coursework deepened my expertise in mathematical optimization, probabilistic models, and data processing techniques, equipping me with the skills to tackle complex engineering challenges.
Beyond academics, I contributed to AI and automation research, developing solutions for predictive analytics, autonomous systems, and real-time decision-making. My USC experience strengthened both my technical proficiency and problem-solving abilities, preparing me to drive innovation in AI and computational engineering.
BE in Electronics and Communication Engineering
Vasavi College of Engineering
Vasavi College of Engineering provided me with a strong technical foundation in Electronics and Communication Engineering. During my undergraduate studies, I gained proficiency in C++ and Python while building expertise in digital signal processing, image processing, linear algebra, and statistical analysis. These subjects strengthened my analytical and problem-solving skills, enabling me to apply mathematical and computational techniques to real-world challenges. My experience at Vasavi played a key role in shaping my passion for AI and data-driven technologies, setting the stage for my advanced studies and career in computational engineering.
PROJECTS
Customer Churn Prediction
Customer churn prediction identifies at-risk customers using data like tenure, billing, and service usage. Adaboost achieved the best accuracy (84.45%), followed by Voting Classifier and Gradient Boosting, helping businesses retain customers efficiently and reduce revenue loss through proactive strategies.
American Sign Language Detector
Our Computer Vision ASL Project aims to use image classification to classify the ASL alphabet. ResNet Convolutional Neural Network is utilized for the modeling process. The model will recognize the alphabet that an image represents when it is run through it, and it will generate an audio file that indicates which alphabet it is.
Credit Card Fraud Detection
The "Credit Card Fraud Detection" project focuses on leveraging machine learning models like XGBoost and LightGBM to identify fraudulent transactions with high accuracy. Implementing cross-validation and hyperparameter tuning, the model achieved a 96.9% AUC, enhancing risk mitigation. This scalable solution aims to improve financial security by minimizing false positives and optimizing fraud detection strategies.