vedant sawant

Aspiring Data Scientist

Mumbai, India 0+ yrs exp 81 · Excellent

About

Aspiring Data Scientist with hands-on experience in Python, SQL, Machine Learning, and Data Visualization. Skilled in building predictive models, performing exploratory data analysis, and delivering actionable business insights. Proficient in Pandas, NumPy, Scikit-learn, Power BI, and Tableau. Strong cross-functional collaborator with a drive to solve real-world business problems through data-driven solutions.

Skills & Expertise (19)

Pandas Intermediate

6.5/10

0.5

Years Exp

NumPy Intermediate

6.5/10

0.5

Years Exp

Python Intermediate

6.5/10

0.5

Years Exp

SQL Intermediate

6.0/10

0.5

Years Exp

Feature Engineering Intermediate

5.5/10

0.5

Years Exp

scikit-learn Beginner

5.0/10

0.5

Years Exp

MySql Intermediate

5.0/10

0.5

Years Exp

Predictive Modelling Beginner

4.5/10

0.5

Years Exp

Model Evaluation Beginner

4.5/10

0.5

Years Exp

Matplotlib Beginner

4.5/10

0.5

Years Exp

Seaborn Beginner

4.5/10

0.5

Years Exp

SQL Server Beginner

4.5/10

0.5

Years Exp

MongoDb Beginner

4.5/10

0.5

Years Exp

CSS Beginner

4.0/10

0.5

Years Exp

HTML Beginner

4.0/10

0.5

Years Exp

Flask Beginner

3.5/10

0.5

Years Exp

Tableau Beginner

3.5/10

0.5

Years Exp

Power BI Beginner

3.5/10

0.5

Years Exp

React Beginner

3.0/10

0.5

Years Exp

Work Experience

Data Science & Analytics Intern

Akord and Co. CA

Jan 2025 - Jun 2025

Improved data validation efficiency by 40% across audit datasets by building a preprocessing pipeline in Python (Pandas, NumPy) to clean and standardise 10,000+ financial records. Reduced report preparation time by 30% by writing optimised SQL queries to extract and aggregate structured data, enabling faster cross-functional decision-making. Delivered actionable business insights to senior stakeholders by performing EDA on operational datasets—surfacing anomalies and patterns that improved reporting accuracy. Reduced manual effort by 25% by applying feature engineering techniques to transform raw records into analysis-ready formats for downstream reporting.