Aniket Patil

Data Analyst

Mumbai, India 0+ yrs exp 81 · Excellent

About

Data Analyst with experience in SQL, Python, Power BI, Excel, Business Intelligence, and data visualization. Skilled in data cleaning, ETL processes, dashboard development, KPI reporting, and business analytics. Experienced in transforming complex datasets into actionable insights to support data-driven decision-making.

Skills & Expertise (26)

SQL Intermediate

6.5/10

Years Exp

Python Intermediate

6.5/10

Years Exp

Pandas Intermediate

6.0/10

Years Exp

NumPy Intermediate

6.0/10

Years Exp

Advanced Excel Intermediate

6.0/10

Years Exp

Power BI Intermediate

6.0/10

Years Exp

Data Analysis Intermediate

6.0/10

Years Exp

Data Cleaning Intermediate

6.0/10

Years Exp

Data Visualization Intermediate

6.0/10

Years Exp

Dashboard Development Intermediate

6.0/10

Years Exp

MySql Intermediate

5.5/10

Years Exp

Seaborn Intermediate

5.5/10

Years Exp

Matplotlib Intermediate

5.5/10

Years Exp

Google Colab Intermediate

5.5/10

Years Exp

Jupyter Notebook Intermediate

5.5/10

Years Exp

Business Intelligence Intermediate

5.5/10

Years Exp

KPI Reporting Intermediate

5.5/10

Years Exp

Statistical Analysis Intermediate

5.5/10

Years Exp

Tableau Intermediate

5.5/10

Years Exp

Power Query Intermediate

5.5/10

Years Exp

Data Modeling Intermediate

5.0/10

Years Exp

ETL Intermediate

5.0/10

Years Exp

DAX Intermediate

5.0/10

Years Exp

Jira Intermediate

5.0/10

Years Exp

Agile Intermediate

5.0/10

Years Exp

Scrum Intermediate

5.0/10

Years Exp

Work Experience

Research Analyst (Intern)

Crisil

Mar 2026 - May 2026

Conducted secondary research on policies and industry trends, delivering insights that improved project accuracy by 20%. Cleaned and validated datasets in Excel (sorting, filtering), ensuring 95%+ data accuracy. Performed web scraping and data collection for trend analysis, reducing manual effort by 30%.

Project Analyst

Hudl

Dec 2024 - Mar 2025

Collected, cleaned, and analyzed sports performance data using SQL and Excel to generate meaningful insights. Built reports and Power BI dashboards to visualize player and team performance metrics. Performed data validation and quality checks to ensure accuracy, consistency, and reliability of datasets.