Hello

What I do

Data Scientist

Collects, cleans, and analyzes data to discover patterns, build predictive models, and generate insights that help organizations make informed decisions.

Data Analyst

examines and interprets data to find trends and insights that help organizations make better decisions.

Front End Development

Building responsive, user-friendly interfaces using HTML, CSS, and JavaScript to create engaging web experiences.

Back End Development

Building server-side logic, databases, and APIs that power applications and ensure secure, efficient data processing.

Education
MTech in Data Science and Artificial Intelligence – IIIT, Ranchi
Jul 2024 – Ongoing
Pursuing a master’s degree focused on advanced data science, machine learning, and artificial intelligence concepts.
BTech in Computer Science and Engineering – SBU ,Ranchi
Jul 2020 – Sep 2024
Completed undergraduate studies with a strong foundation in computer science, programming, and software development.
Higher Secondary (Science – PCM) – St Xavier’s School
Jun 2016 – Jul 2018
Studied Physics, Chemistry, and Mathematics with a focus on analytical and problem-solving skills.
Matriculation – St Anthony’s School
2006 – 2016
Completed secondary education with a strong academic foundation.

Projects
Air Quality Index Prediction using Machine Learning
Python, Scikit-learn, Random Forest
Developed a machine learning model to predict AQI using pollutant and weather data, achieving a 12% accuracy improvement after hyperparameter tuning. Performed exploratory data analysis with heatmaps and trend visualizations to identify strong correlations between PM2.5 and humidity.
Personalized Healthcare Recommendation System
Python, Machine Learning, Pandas
Built a healthcare recommendation system using patient data. Implemented collaborative and content-based filtering techniques to generate personalized healthcare advice.
Finance & Accounting Courses Analysis (13K+ Udemy Courses)
Python, SQL, Excel
Analyzed over 13,000 Udemy finance and accounting courses to extract insights on pricing, popularity, and learner trends. Automated data preprocessing pipelines and outlier detection, improving overall model performance by 15%.