Rohan Gaikwad

Aspiring Data Scientist | Data Analyst

Hadapsar, Pune, Maharashtra, India 0+ yrs exp 86 · Excellent

About

Detail-oriented Data Analyst with a Bachelor of Science in Computer Science and hands-on experience in Python, SQL, Excel, Power BI, and data visualization. Skilled in data cleaning, Exploratory Data Analysis (EDA), dashboard creation, and transforming complex data into actionable insights. Good analytical and problem-solving abilities with a passion for data-driven decision-making and business intelligence.

Skills & Expertise (28)

Python Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

Pandas Intermediate

7.5/10

Years Exp

SQL Intermediate

7.0/10

Years Exp

SQL Queries Intermediate

7.0/10

Years Exp

MySql Intermediate

7.0/10

Years Exp

Matplotlib Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Microsoft Excel Intermediate

7.0/10

Years Exp

Data Transformation Intermediate

7.0/10

Years Exp

Aggregations Intermediate

6.5/10

Years Exp

Data Validation Intermediate

6.5/10

Years Exp

Statistical Analysis Intermediate

6.5/10

Years Exp

Seaborn Intermediate

6.5/10

Years Exp

Joins Intermediate

6.5/10

Years Exp

Power BI Intermediate

6.0/10

Years Exp

Subqueries Intermediate

6.0/10

Years Exp

Tableau Intermediate

5.5/10

Years Exp

Git Intermediate

5.5/10

Years Exp

GitHub Intermediate

5.5/10

Years Exp

HTML Beginner

4.5/10

Years Exp

CSS Beginner

4.5/10

Years Exp

JavaScript Beginner

4.5/10

Years Exp

Flask Beginner

4.0/10

Years Exp

OpenCV Beginner

3.5/10

Years Exp

SQLAlchemy Beginner

3.5/10

Years Exp

DAX Beginner

3.0/10

Years Exp

Exploratory Data Analysis (EDA

Work Experience

Data Science and Data Analyst Intern

Cravita Technologies Pvt. Ltd.

May 2025 - Dec 2025

Performed data cleaning, preprocessing, and Exploratory Data Analysis (EDA) on structured datasets to identify trends and business insights. Created visualizations and interactive reports using Python and data visualization libraries to support decision-making. Wrote SQL queries for data extraction, filtering, aggregation, and reporting purposes. Analyzed key performance indicators (KPIs) and generated actionable recommendations based on data findings. Collaborated with team members to prepare analytical reports and present insights to stakeholders.