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Data Analyst with less than a year in Data Science with strong skills in Python, SQL, and Power BI f
Highly motivated and detail-oriented final-year B.Tech student in Computer Science and Engineering with a specialization in Data Science, possessing an analytical mindset, adaptability, and a passion for continuous learning. Skilled in Python, SQL, MySQL, and Power BI, with hands-on experience in ETL, exploratory data analysis, data visualization, and dashboard development through end-to-end analytics projects. Eager to leverage data-driven insights to solve real-world business problems and contribute to informed decision-making.
University of Engineering and Management, Kolkata
Bachelor of Technology · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Our Lady Queen of the Mission School, Kolkata
Secondary (ICSE)
N/A – Present
Frank Anthony Public School, Kolkata
Higher Secondary (ISC) · Science
N/A – Present
Customer Churn Analysis Dashboard
June 1, 2025 – June 1, 2026
Developed an end-to-end Customer Churn Analysis Dashboard in Power BI to analyze customer behavior, churn trends, revenue contribution, and service usage patterns. Performed ETL operations including data extraction, cleaning, transformation, and loading of customer data into MySQL. Executed SQL queries to analyze demographics, contracts, payment methods, and churn categories. Performed transformation in Power Query. Created DAX measures for KPI cards such as Total Customers, Total Churn, Churn Rate, and New Joiners. Built interactive Power BI dashboards with filters, tooltips, and visual insights to support customer retention strategies and data-driven business decision-making.
View ProjectSales Data Analysis using Python
June 1, 2025 – June 1, 2026
Analyzed 186,000+ sales transactions using Python, Pandas and Matplotlib to identify revenue trends and customer purchasing patterns. Performed data cleaning, feature engineering, and exploratory data analysis by creating Month, Hour, City, and Sales features from transactional data. Identified peak sales periods, optimal advertisement timings, top-performing cities, and best-selling products through statistical analysis and visualizations. Conducted market basket analysis to determine frequently purchased product combinations and provide cross-selling recommendations.
View ProjectCustomer Shopping Behavior Analysis Dashboard
June 1, 2025 – June 1, 2026
Developed an interactive Customer Behavior Analysis Dashboard using Power BI to analyze customer purchasing patterns, subscription trends, revenue distribution, and demographic insights. Performed data cleaning in Python, EDA in MySQL and visualization in Power BI to generate business insights and support decision-making. Created KPI cards, slicers, bar charts, and donut charts to visualize metrics like total customers, average purchase amount, average review rating and category-wise sales and revenue. Leveraged DAX measures and dynamic filtering to uncover business insights related to customer segments, product categories, and sales performance for data-driven decision-making.
View ProjectIBM Data Analyst
IBM
June 1, 2026 – Present
IBM Databases and SQL for Data Science
IBM
June 1, 2026 – Present
Python for Everybody
Coursera (University of Michigan)
June 1, 2026 – Present
IBM Data Science
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Computer Science & Engineering with a specialization in Data Science, coupled with multiple certifications from IBM and Coursera, indicates a strong drive for learning and self-improvement. The project diversity, focusing on customer churn, shopping behavior, and sales analysis, shows a breadth of application within the data analysis domain. This aligns well with a culture that values continuous learning and practical application of skills.
Soft Skills & Operational Fit
The candidate's profile indicates a 'highly motivated and detail-oriented' individual with an 'analytical mindset, adaptability, and a passion for continuous learning'. These traits suggest a good operational fit for roles requiring problem-solving and continuous skill development. The academic projects demonstrate an ability to work on structured tasks and deliver analytical insights.