01. about
Data and logic excite me. I’m currently diving deep into data analytics and machine learning while pursuing a hybrid B.Sc. in Computer Science & Data Analytics from IIT Patna and a B.Tech in Computer Science & Engineering from AKTU. With a growing skill set in Python, ML, and data visualization, I’m now branching into development to build products that think, respond, and deliver.
02. Experience
03. SKILLS
Python
Data Analysis
Data Visualization
SQL
Power BI
MSSQL
PostgreSQL
MySQL
Advanced Excel
Git & GitHub
Power Query
AWS
Snowflake
Tableau
Descriptive Statistics
Inferential Statistics
Hypothesis Testing
Machine Learning
Pandas
Numpy
Matplotlib
Seaborn
Feature Engineering
Docker
Streamlit
VS Code
Anaconda
Jupyter Notebook
04. education
B.Sc. (Hons) - Computer Science & Data Analytics
Indian Institute of Technology Patna
As part of my B.Sc. in Computer Science and Data Analytics, I’ve built a strong foundation in both core computing and modern data practices. My coursework includes Programming in Python, Data Structures, Statistics, Linear Algebra, Data Mining, Machine Learning, and Big Data Analytics. I’ve also explored Data Visualization, Exploratory Data Analysis, and Cloud-based Analytics Platforms, which have sharpened my ability to extract, analyze, and present data-driven insights. This academic journey has strengthened both my analytical thinking and technical implementation skills — preparing me for real-world challenges in AI and data science.
B.Tech. - Computer Science & Engineering
Dr. A.P.J. Abdul Kalam Technical University
Explored a strong mix of foundational and advanced coursework including Data Structures and Algorithms, Operating Systems, Computer Networks, Database Management Systems, Object-Oriented Programming, Software Engineering, and Web Technologies. Alongside core CS subjects, I’ve also engaged with Artificial Intelligence, Machine Learning, and Cloud Computing, enabling me to understand both low-level system design and high-level intelligent applications. This technical foundation supports my practical learning in analytics and development.
06. Projects
Telecom Churn Analysis
A data-driven end-to-end project focused on understanding and predicting customer churn in the telecom sector. Leveraged SQL for data extraction and preprocessing, Python for exploratory data analysis, feature engineering, and building machine learning models to predict churn likelihood. Developed interactive Power BI dashboards to visualize customer behavior, key churn indicators, and business-impact metrics — enabling actionable insights for retention strategies.
Customer Banking Behavior
& Risk Analysis
This project delivers a comprehensive analysis of customer banking data using SQL, Python, and Power BI. It focuses on understanding customer behavior, identifying spending patterns, and assessing financial risk through data-driven insights. SQL was used for data querying and cleaning, Python for exploratory data analysis and statistical modeling, and Power BI to build interactive dashboards that visualize customer segmentation, credit risk indicators, and overall financial health.
07. certifications
SQL for Data Analytics
Udemy • 2025
Advanced Power BI
Udemy • 2025
Product Management
IBM • 2025
AI & ML Fundamentals
IBM • 2025
Certified Young Professional
Tata Consultancy Services • 2025
Prompt Engineering
Infosys • 2025
