Vedant Dudhat

Aspiring Data Analyst

0+ yrs exp 82 · Excellent

About

Aspiring Data Analyst pursuing MCA at Ramdeobaba University with experience in Data Analytics, Business Intelligence, Dashboard Development, and Statistical Analysis. Skilled in Python, SQL, Power BI, Tableau, and Microsoft Excel with hands-on experience in Data Cleaning, Exploratory Data Analysis, ETL Reporting, and Data Visualization. Strong analytical thinking, problem-solving, and stakeholder management abilities focused on delivering actionable business insights.

Skills & Expertise (27)

Python Intermediate

8.5/10

Years Exp

Data Analytics Intermediate

8.0/10

Years Exp

Seaborn Intermediate

8.0/10

Years Exp

Data Visualization Intermediate

8.0/10

Years Exp

Matplotlib Intermediate

8.0/10

Years Exp

Dashboard Development Intermediate

8.0/10

Years Exp

scikit-learn Intermediate

8.0/10

Years Exp

SQL Intermediate

8.0/10

Years Exp

NumPy Intermediate

8.0/10

Years Exp

Pandas Intermediate

8.0/10

Years Exp

Teamwork Intermediate

8.0/10

Years Exp

Communication Intermediate

8.0/10

Years Exp

Microsoft Excel Intermediate

8.0/10

Years Exp

Analytical Thinking Intermediate

8.0/10

Years Exp

Problem Solving Intermediate

8.0/10

Years Exp

Exploratory data analysis Intermediate

7.5/10

Years Exp

MySql Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

Tableau Intermediate

7.0/10

Years Exp

Power BI Intermediate

7.0/10

Years Exp

Business Insights Intermediate

7.0/10

Years Exp

Stakeholder Management Intermediate

6.5/10

Years Exp

Business Statistics Intermediate

6.5/10

Years Exp

Cloud Analytics Intermediate

6.0/10

Years Exp

Leadership Intermediate

6.0/10

Years Exp

TF-IDF Intermediate

6.0/10

Years Exp

Java Beginner

4.5/10

Work Experience

Data Analytics Intern

AB Infotech

Aug 2025 - Present

Developed an In-App Purchase Optimization solution using Firebase Analytics and Machine Learning. Analyzed user behavior and engagement patterns to identify purchase intent signals. Built predictive models to forecast purchase likelihood and improve targeting accuracy. Optimized personalized offer recommendations to improve in-app purchase conversions. Generated business insights through dashboard reporting and data visualization techniques.