RESUME
Srinjay Ghosh

SKILLS

  • •
    Data Cleaning & Analysis
  • •
    Data Visualizationeling and reporting
  • •
    Analytical and problem solving
  • •
    Dashboard & Report Creation

certificates

LANGUAGES

  • •
    Bengali (Advanced)
  • •
    Hindi (Proficient)
  • •
    English (Proficient)

Interest

  • •
    Learning New Analytical Tools
  • •
    Efficient Project Management
  • •
    Problem Solving Mindset
  • •
    Data Analysis Proficiency
  • •
    Exploring Practical AI Use Cases
  • •
    Communication

Personal Info

  • •
    DOB : 27/03/2004
  • •
    Marital Status : Single

Srinjay Ghosh

Data Analytics

9163565682
placement@webskittersacademy.in
Canning Town
https://www.linkedin.com/in/srinjay-ghosh-b212993a3

PROFILE

Aspiring Data Analyst with a strong foundation in statistical analysis, data visualization, and database management. Proficient in Excel, SQL, Python, and Tableau. Passionate about leveraging data-driven insights to solve complex problems and drive business decisions. Eager to apply my analytical skills and enthusiasm for data in a dynamic and growth-oriented organization.

Personal Project/s

Project Name :

Adidas Sales Dashboard

Project Url :

https://tinyurl.com/2xohpaep

Description :

  • Analyzed multi-year Adidas US sales data to evaluate revenue, profit, and product performance.
  • Cleaned and structured data using Excel (Power Query, Pivot Tables) and built dynamic KPIs (Revenue, Profit Margin %, Units Sold).
  • Designed an interactive dashboard with slicers for region, product, and sales method.
  • Identified top-performing regions, seasonal trends, and profitable vs. loss-making products.
  • Delivered actionable insights for pricing and inventory optimization.

Project Name :

Indian Weather Report

Project Url :

https://tinyurl.com/24lfy352

Description :

  • Analyzed a real-world weather dataset (572 records, 144 features) covering multiple Indian cities.
  • Performed data cleaning, preprocessing, and exploratory data analysis (EDA).
  • Conducted statistical and correlation analysis to identify patterns in temperature, humidity, wind speed, pressure, UV index, and air quality.
  • Created visualizations (heatmaps, scatter plots, bar charts) to compare regional weather trends.

Experience/s

EDUCATION

Secondary Examination

2020

Higher Secondary Examination

2022

Bachelor Of Arts

2025
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