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About Me
I am a Masters in Data Science student, driven by an insatiable passion for technology and a deep fascination with the realm of data. With a focus on smart work and efficiency, my portfolio showcases captivating projects in data analysis, visualization, and machine learning. I eagerly seek innovative opportunities in machine learning, data science, and computer vision, where I can contribute my skills to shape the future through cutting-edge solutions. Welcome to my world, where art and science converge to unlock the boundless potential of data.
Tech Stack:
Languages:
Cloud Framework:
Frameworks/API:
ML/DL:
Masters of Science and Engineering: Data Science
Johns Hopkins University - Baltimore , Maryland
Masters of Business Administration: Finance & Business Analytics
LM Thapar School of Management - Baltimore , Maryland
Bachelor of Engineering: Computer Science
Thapar Institute of Engineering and Technology - Patiala, India
Data Science Intern LG Electronics
Machine Learning Intern Videolytical Systems
Data Science Intern Reliance Jio
Machine Learning Researcher Thapar University
Data Science Intern
LG Electronics
● Partnered with cross-functional teams to integrate data science scripts into backend systems, boosting operational efficiency by 40% and satisfying customer requirements as communicated ● Implemented advanced NLP techniques by fine-tuning BERT for sentiment analysis and applying LDA for topic modeling, revealing key customer sentiments and trends
Data Scientist
Videolytical Systems - Remote
● Developed comprehensive video analytics system that utilized YOLO for precise object detection and Optical Flow for accurate motion tracking, leading to 30% enhancement in real-time intrusion detection capabilities
Data Scientist
Reliance Jio
● Developed scalable ETL pipeline using Apache Spark for processing over 1 million tweets, integrating MongoDB for efficient storage and retrieval of unstructured data ● Analyzed customer engagement patterns and created visualizations using Tableau to present insights to stakeholders, which informed data-driven marketing strategies and contributed to 15% increase in campaign effectiveness
Data Scientist
Thapar University
● Developed automated waste classification boat using ResNet and TensorFlow, achieving 93.07% accuracy in real-time waste classification (biodegradable vs. non-biodegradable) on Raspberry Pi with integrated servo motors for autonomous sorting ● Implemented Raspberry Pi system using GPIO and Pygame for real-time image capture and processing, integrating TensorFlow-based image classification model to classify images from live camera input
Data Science Trainee
LG Electronics - Feb 2024 - July 2024
● Designed & implemented web scraping pipelines using Selenium and Beautiful Soup to extract Voice of Customer data from YouTube and Flipkart, enabling actionable insights that enhanced product development strategies
● Implemented advanced NLP techniques by fine-tuning BERT for sentiment analysis and applying LDA for topic modeling, revealing key customer sentiments and trends
Data Science Trainee
LG Electronics - Feb 2024 - July 2024
● Designed & implemented web scraping pipelines using Selenium and Beautiful Soup to extract Voice of Customer data from YouTube and Flipkart, enabling actionable insights that enhanced product development strategies
● Implemented advanced NLP techniques by fine-tuning BERT for sentiment analysis and applying LDA for topic modeling, revealing key customer sentiments and trends
