Pallavi Garud

Data Analyst

Nashik 0+ yrs exp 80 · Excellent

About

Data Analyst with hands-on experience in data cleaning, data transformation, exploratory data analysis (EDA), and dashboard development using Python, SQL, Power BI, and Excel. Skilled in writing SQL queries, building interactive dashboards, and applying statistical analysis and predictive modeling to turn raw data into actionable business insights and KPI reporting. Strong foundation in RDBMS, data visualization, and automated reporting workflows, with a quick-learning, detail-oriented approach to solving data-driven business problems.

Skills & Expertise (24)

SQL Intermediate

5.5/10

0.25

Years Exp

Python Intermediate

5.5/10

0.25

Years Exp

NumPy Intermediate

5.5/10

0.25

Years Exp

Pandas Intermediate

5.5/10

0.25

Years Exp

VS Code Intermediate

5.0/10

0.25

Years Exp

Jupyter Notebook Intermediate

5.0/10

0.25

Years Exp

Seaborn Intermediate

5.0/10

0.25

Years Exp

Matplotlib Intermediate

5.0/10

0.25

Years Exp

Data Preprocessing Intermediate

5.0/10

0.25

Years Exp

Data Cleaning Intermediate

5.0/10

0.25

Years Exp

Exploratory data analysis Intermediate

5.0/10

0.25

Years Exp

Excel Intermediate

5.0/10

0.25

Years Exp

Power BI Intermediate

5.0/10

0.25

Years Exp

Statistical Analysis Intermediate

4.5/10

0.25

Years Exp

Predictive Modeling Intermediate

4.5/10

0.25

Years Exp

Feature Engineering Intermediate

4.5/10

0.25

Years Exp

scikit-learn Intermediate

4.5/10

0.25

Years Exp

SQL Server Intermediate

4.0/10

0.25

Years Exp

MySql Intermediate

4.0/10

0.25

Years Exp

RDBMS Intermediate

4.0/10

0.25

Years Exp

Git Intermediate

4.0/10

0.25

Years Exp

GitHub Intermediate

4.0/10

0.25

Years Exp

MongoDb Beginner

3.5/10

0.25

Years Exp

Streamlit Beginner

3.5/10

0.25

Years Exp

Work Experience

Python with Data Science Intern

Sumago Infotech Pvt. Ltd.

Dec 2024 - Feb 2025

Used Python, SQL, Pandas, and NumPy to clean, preprocess, transform, and analyze real-world datasets for data-driven business insights. Developed SQL queries and EDA to identify data quality issues and improve data-processing efficiency by approximately 30%. Built and evaluated a Linear Regression model using Scikit-learn for predictive analysis and business decision-making. Created Power BI dashboards and data visualizations using Matplotlib and Seaborn to communicate trends, KPIs, and analytical findings.