Movie Industry Analytics & Trend Analysis Using NLP & BI
Analyzed 10,000+ movie records using Python, Pandas, NumPy and NLP techniques to identify trends, rating patterns and audience sentiment.
Hello, I'm
I work with data to uncover insights, build predictive models and create meaningful data-driven solutions using Python, SQL, Machine Learning, Power BI and Data Visualization.
Data Science Student
I am a B.Tech Computer Science student specializing in Data Science with a strong interest in data analysis, machine learning and business intelligence.
My goal is to continue developing as a data professional while working on practical problems where analytics and machine learning can create measurable value.
Analyzed 10,000+ movie records using Python, Pandas, NumPy and NLP techniques to identify trends, rating patterns and audience sentiment.
A full-stack data management and analytics system developed using Python, HTML, CSS and JavaScript.
A multi-hybrid explainable temporal learning framework combining Transformer, BiLSTM, Attention, and Bayesian Optimization for sleep quality prediction
A predictive machine learning system using an XGBoost Classifier with SHAP explanations for interpreting model decisions.
Organized multiple events and village visits focused on social welfare.
Coordinated a cultural event under NSS, includes Singing, Dancing, Skit, Speech, Poetry and Debate.
Organized an open-mic event featuring rap, mimicry and stand-up comedy.
Computer Science & Engineering — Data Science
Quantum University, RoorkeeCBSE
Roorkee, UttarakhandCBSE
Roorkee, UttarakhandACS Roorkee · 2018–19
Alison · Jun 2024 – Aug 2024
PMKVY · 2025
Simplilearn · June 2026
Pod.ai · September 2026
Explore my academic background, technical skills, internships, projects and certifications in a concise format.
Whether you want to discuss data science, collaborate on a project, share an opportunity or simply say hello, feel free to send me a message.