RESUME
Supratim Maity

SKILLS

  • •
    MICROSOFT EXCEL
  • •
    SQL
  • •
    Power BI
  • •
    Tableau
  • •
    Python

certificates

LANGUAGES

  • •
    ENGLISH (Intermediate)
  • •
    BENGALI (Native)
  • •
    HINDI (Proficient)

Interest

  • •
    Data Analysis & Visualization, Statistical Analysis, Business Intelligence Tools, Research & Data Interpretation, Problem Solving

Personal Info

  • •
    DOB : 02/04/2004
  • •
    Marital Status : Single

Supratim Maity

Data Analytics

9163565682
placement@webskittersacademy.in
New Alipore, Kolkata
https://www.linkedin.com/in/supratim-maity-8a5458361/

PROFILE

Enthusiastic Data Analyst skilled in SQL, Excel, Power BI, Tableau, and Python. Passionate about turning data into insights and supporting data-driven decisions. Eager to apply skills to real-world projects and grow in the analytics field.

Personal Project/s

Project Name :

BMWCar Sales Analysis (SQL)

Github link :

https://tinyurl.com/22ynt68u

Description :

Analyzed BMW sales data to identify pricing trends and model performance using SQL techniques such as joins, aggregations, filtering, and trend analysis.

Project Name :

Heart Disease Risk Analytics (Power BI)

Github link :

https://tinyurl.com/2agqjy9z

Description :

Analyzed lifestyle and clinical factors contributing to heart disease risk and developed interactive reports and insights using Power BI.

Project Name :

Superstore Sales Insights (Excel)

Github link :

https://tinyurl.com/2ypnqamo

Description :

Evaluated revenue trends, regional performance, and customer behavior using Excel through data cleaning, pivot tables, and dashboard reporting.

Project Name :

Customer Sentiment & Service Experience Analysis (Python)

Github link :

https://tinyurl.com/2c6sg7q4

Description :

An end-to-end Python project analyzing customer sentiment and service experience by evaluating emotions, ratings, response time, and issue resolution. It provides data-driven insights to improve customer satisfaction and support performance.

Experience/s

20/02/2026 - 17/03/2026

Company :

Webskitters Academy

Designation :

Data Analyst

Description :

E-Commerce Sales Analysis – Webskitters Analyzed e-commerce sales data using Python (Pandas, NumPy, Matplotlib, Seaborn) to identify revenue trends, customer behavior, and product performance, and provided data-driven insights to improve business decisions.

EDUCATION

WBBSE (Class X) (82.14%)

2019

WBCHSE (Class XII) (88.4%)

2021

B.Sc. (Hons) in Statistics

2025
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