Asmit Swarnakar
Data Analyst | Python | SQL | Power BI | Machine Learning
Email: asmitswarnakar76@gmail.com
About Me
Hello 👋, my name is Asmit Swarnakar and I am from West Bengal, India. I am currently pursuing my Bachelor’s degree in Computer Science & Engineering from the Bengal Institute of Technology. I am a hardworking and self-motivated individual with strong problem-solving skills. I’m a passionate Data Analyst with experience in Python, SQL, Excel, Power BI, and Machine Learning. I love exploring data, extracting insights, and building dashboards that tell a story. I aim to use data to drive decisions and create value for businesses.
Education
Bengal Institute of Technology
Bachelor of Technology in Computer Science & Engineering
2022 – 2026
Chandrakona Jirat High School
Secondary Education
June 2019 – June 2020
Higher Secondary Education
June 2020 – June 2022
Skills & Certifications
Data Analyst
Python
SQL
Power BI
Machine Learning
Statistics
My Projects
Sales Analysis
This project focuses on analyzing retail sales data during the Diwali festival to uncover customer buying behavior and generate business insights. It includes both exploratory data analysis using Python and dashboard creation using Power BI.
View on GitHub
Banking-Domain-Risk-Analysis
This project focuses on analyzing risk within the banking domain using both exploratory data analysis (EDA) in Python and an interactive Power BI dashboard. The objective is to uncover key insights related to customer financial behavior, credit risk, and account performance using data visualization and statistical techniques.
View on GitHub
Exploratory_Data_Analytics
Converted categorical columns into numerical format for model training.Renamed duplicate columns to ensure consistency and accuracy.Saved the cleaned dataset as cleaned_data.csv for further analysis.Technologies: Python, Pandas, Seaborn, Matplotlib..
View on GitHub
Real_Estate_Price_Prediction_System
A machine learning project that predicts house prices based on key property features such as location, square footage, number of bedrooms, and more. This project uses data preprocessing, feature encoding, and regression modeling to estimate property prices accurately.
View on GitHub
Ecommerce-delivery-delay-analysis
Developed an end-to-end data science project analyzing why e-commerce orders fail despite operational systems appearing normal. Performed data cleaning, feature engineering, delay analysis, and built a probabilistic multi-class classification model (XGBoost & Random Forest) to predict delivery delay risk.
View Report View on GitHubContact Me
Feel free to reach out for collaborations, questions, or project opportunities!