Passionate developer and data enthusiast who loves turning complex problems into elegant solutions. Currently expanding horizons with MSc in Data Science at University of Nottingham, backed by industry experience in machine learning and automation
Education
- MSc in Data Science (Ongoing) - University of Nottingham, UK
- B.Tech in Electronics and Communication - Dr. A.P.J. Abdul Kalam Technical University, India
Publications
- Deepfake Audio Detection with Neural Networks Using Audio Features (IEEE-2022)
- Stock Market Prediction with Lasso Regression Using Technical Analysis and Time Lag (IEEE-2021)
Featured Projects
CNN-based audio classification model for detecting artificial voices, trained on 28,700 ASV spoof audio files using MFCC, STFT, and FFT features
NIFTY50 stock price prediction using LASSO regression with technical indicators (RSI, Super Trend, Pivot Level) and time lag analysis
NLP model using Multinomial Naïve Bayes for IMDb dataset sentiment analysis, implementing stemming, bag of words, and tokenization
XSS attack detection system using web scraping and exploratory data analysis on URL log data
Work Experience
Project Engineer
Wipro
April 2022 - June 2024
Engineered automated test scripts using Java and Selenium, implemented RESTful APIs using Spring Boot, developed Selenium Test Automation Framework with TestNG, and applied BDD principles using Cucumber.
Machine Learning Intern
Internity Foundation
June 2021 - July 2021
Implemented NLP model using Multinomial Naïve Bayes, developed sentiment analysis on IMDb dataset, and applied text processing techniques including stemming and tokenization.
Data Science Intern
Internity Foundation
December 2020 - January 2021
Analyzed web server logs for XSS attack detection, performed web scraping and exploratory data analysis, and enhanced web server security through analytics.
