Tanmay Giri

Data Analyst

Bengaluru, India 0+ yrs exp 81 · Excellent

About

Junior Data Analyst with hands-on experience in data cleaning, exploratory data analysis, SQL, Python, statistical analysis, and dashboard development. Skilled in using Pandas, SQL Server, Power BI, and Excel to transform transactional data into meaningful business insights. Experienced in customer analytics, revenue analysis, RFM segmentation, cohort retention, hypothesis testing, forecasting, and end-to-end analytical projects.

Skills & Expertise (22)

Pandas Intermediate

7.5/10

0.25

Years Exp

Python Intermediate

7.5/10

0.25

Years Exp

Exploratory data analysis Intermediate

7.0/10

0.25

Years Exp

Data Wrangling Intermediate

7.0/10

0.25

Years Exp

Data Cleaning Intermediate

7.0/10

0.25

Years Exp

MySql Intermediate

7.0/10

0.25

Years Exp

SQL Server Intermediate

7.0/10

0.25

Years Exp

NumPy Intermediate

7.0/10

0.25

Years Exp

Advanced Microsoft Excel Intermediate

6.5/10

0.25

Years Exp

Seaborn Intermediate

6.5/10

0.25

Years Exp

Matplotlib Intermediate

6.5/10

0.25

Years Exp

Statistical Analysis Intermediate

6.5/10

0.25

Years Exp

Power BI Intermediate

6.0/10

0.25

Years Exp

Plotly Intermediate

6.0/10

0.25

Years Exp

RFM Analysis Intermediate

6.0/10

0.25

Years Exp

Cohort Analysis Intermediate

6.0/10

0.25

Years Exp

Forecasting Intermediate

6.0/10

0.25

Years Exp

Jupyter Notebook Intermediate

6.0/10

0.25

Years Exp

Visual Studio Code Intermediate

6.0/10

0.25

Years Exp

Streamlit Intermediate

5.5/10

0.25

Years Exp

Git Intermediate

5.5/10

0.25

Years Exp

GitHub Intermediate

5.5/10

0.25

Years Exp

Work Experience

Data Analyst Intern

TopMentor

Jun 2026 - Sep 2026

Performed hands-on customer and revenue analytics using transactional retail data, applying data cleaning, customer segmentation, retention analysis, statistical testing, and revenue trend analysis. Developed an e-commerce database engine and conducted sales-performance analysis using relational database concepts and SQL. Built data cleaning and validation workflows using SQL and Python to standardize datasets and improve analytical reliability. Presented analytical findings and dashboards to communicate customer, revenue, and sales-performance insights.