RESUME
Debdatta Mukherjee

SKILLS

  • •
    SQL
  • •
    POWER BI
  • •
    PYTHON (Numpy, Pandas, Matplotlib)
  • •
    EXCEL
  • •
    TABLEAU

certificates

LANGUAGES

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

Interest

  • •
    Photography
  • •
    Cricket

Personal Info

  • •
    DOB : 07/02/2000
  • •
    Marital Status : Single

Debdatta Mukherjee

Data Analyst

9163565682
placement@webskittersacademy.in
Dumdum, Kolkata, - 700030
https://www.linkedin.com/in/debdatta-mukherjee/

PROFILE

Highly motivated and skilled IT graduate from Techno India, Kolkata. Proficient in SQL, Python, Advanced Excel and data visualization tools including Power BI. Proven ability to develop data-driven solutions, as demonstrated by projects in Bank customer churn analysis, Domino’s pizza sales insights and Tactical Crime Analysis. Eager to apply technical skills and contribute to a challenging role in data analysis.

Personal Project/s

Project Name :

UrbanCart Superstore Analysis – Python

Github link :

https://tinyurl.com/26wbr53f

Description :

Python Data Analysis project using PANDAS and MATPLOTLIB to analyze retail sales data, perform data cleaning and feature engineering, conduct revenue, profit and margin analysis, build time-series and regional visualizations, and deliver data-driven business insights for profitability optimization.

Project Name :

Tactical Crime Analysis – Power BI

Github link :

https://tinyurl.com/29d3ef2b

Description :

Designed and deployed a multi-page Power BI tactical crime analysis dashboard using DAX, advanced data modelling, and Azure Maps to analyse citywide crime patterns. 

Project Name :

Customer spending Analysis & Credit card strategy – Power BI

Github link :

https://tinyurl.com/23vl5yqc

Description :

Developed a Power BI–driven banking analytics solution analysing spending behaviour of 4,000 customers to support data-driven credit card product strategy and customer segmentation.

Project Name :

Domino’s Pizza Sales Analysis – SQL

Github link :

https://tinyurl.com/2y3nxuxa

Description :

Performed Domino’s Pizza Sales Analysis using MySQL, applied advanced SQL techniques such as JOINS, CTE, WINDOW functions to analyse order trends and revenue performance.

Project Name :

Walmart Sales & Customer Analysis – SQL

Github link :

https://tinyurl.com/23t8oadc

Description :

Utilized SQL to analyse 10,000+ Walmart sales transactions, identifying trends in revenue, product performance, and customer behaviour.

Project Name :

BMW Sales Analysis - Excel

Github link :

https://tinyurl.com/25slw7uo

Description :

Analyzed 50K+ BMW sales records in Excel, uncovering key insights on top models, regional performance, and customer preferences to support data-driven decisions. Built an interactive dashboard with KPIs and trend analysis, enabling strategic business insights

Project Name :

Bank Customer Churn Analysis – Excel

Github link :

https://tinyurl.com/269yfef7

Description :

Performed Bank Customer Churn Analysis on a dataset of 10,000 records using Microsoft Excel, applying data cleaning, segmentation, and exploratory data analysis (EDA).

Project Name :

HR Analytics Dashboard - Tableau

Project Url :

Description :

Developed an interactive HR Analytics Dashboard in Tableau to analyze employee distribution, attrition trends, salary patterns, and hiring growth for data-driven workforce insights.

Experience/s

20/02/2026 - 17/03/2026

Company :

Webskitters Academy

Designation :

Data Analyst Intern

Description :

Retail Sales & Inventory Power BI Dashboard
  • Built a Power BI dashboard analyzing 829K+ transactions across 50 stores, enabling real-time sales and inventory insights that improved decision-making speed.
  • Developed DAX-driven analytics to identify 77 stockouts and 15K low-stock risks, reducing lost sales and optimizing inventory distribution.

EDUCATION

B.TECH INFORMATION TECHNOLOGY

2022

Class XII

2018
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