Viven Bagde

Data Analyst

LinkedIn | GitHub

About

Highly motivated and detail-oriented Data Analyst with a strong foundation in data analysis, visualization, and predictive modeling. Proven ability to extract actionable insights from complex datasets using advanced analytical techniques and tools such as Python, SQL, and Power BI. Eager to leverage a blend of academic knowledge and practical project experience to drive informed decision-making and contribute to impactful data-driven solutions.

Work Experience

Data Analyst Intern

Unified Mentor

Apr 2025 - Jun 2025

Contributed to business intelligence and analytics initiatives, leveraging data analysis, machine learning, and visualization to support strategic decision-making and performance tracking.

  • Conducted in-depth data analysis and developed compelling visualizations to inform strategic business decisions.
  • Designed and implemented machine learning models and robust SQL-based analytical solutions to derive actionable insights.
  • Developed and maintained interactive dashboards and reports for real-time tracking of key performance indicators (KPIs), enabling proactive performance management.

Education

Computer Technology

RTMNU

9.1 SGPA

Jul 2015 - Nov 2020

Courses

  • Applied Mathematics
  • DBMS
  • Machine Learning
  • Algorithms
  • Computational Theory

Certificates

Google Digital Academy - Dive Deeper into GA4 Data and Reports

Google Digital Academy

May 2025

Google Digital Academy - Google Analytics Certification

Google Digital Academy

May 2025

Data Visualisation: Empowering Business with Effective Insights

N/A

Apr 2025

Job Simulation Certificate

PwC Switzerland

Mar 2025

Projects

White Wine Quality Prediction

Jan 2024 - Jan 2025

Developed a machine learning model to predict wine quality based on chemical properties.

BikeStore Analysis with SQL

Jan 2024 - Jan 2025

Conducted a comprehensive analysis of BikeStore data, focusing on performance, segmentation, and reporting.

Food Delivery Data Analytics Project

Jan 2024 - Jan 2025

Analyzed delivery times and ratings using feature engineering, hypothesis testing, and linear regression, achieving a low RMSE of 0.23 for the prediction of ratings.

Power BI Dashboard Portfolio

Jan 2024 - Jan 2025

A collection of Power BI dashboards developed to provide insights across various business domains.

Skills

Programming Languages

  • Python
  • SQL

Data Analysis & Libraries

  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Plotly
  • PostgreSQL
  • Microsoft Excel

Business Intelligence & Visualization

  • Power BI
  • AI Prompting

Analytical Techniques

  • Statistical Modeling
  • Significance Testing
  • Inferential Analysis
  • Hypothesis Testing
  • Feature Engineering
  • Linear Regression
  • Random Forest Classifier
  • Machine Learning
  • Data Analysis

Soft Skills

  • Communication
  • Critical Thinking
  • Adaptability
  • Perseverance
  • Teamwork