Data Analyst

VAIBHAV AMBEKAR

Data Analyst

+91-775******* ****************@*****.*** LinkedIn Pune, India

EXPERIENCE

Data Engineer

Unnati Digital Solutions Pvt. Ltd. April 2025 – Present

Analyzed business and operational data to drive informed decision-making through reporting and dashboards.

Collected and documented software requirements, created workflows, and executed test cases for quality assurance.

Designed interactive dashboards in Power BI to track KPIs and business performance.

Automated repetitive data processes using Python scripting and AI tools, reducing manual effort.

Tools / Tech: SharePoint, Excel, Power BI, Azure, Miro, AI tools.

Data Analyst / Operations

Ma Foi Strategic Consultant June 2024 – Feb 2025

Managed and analyzed workforce and attendance data for 17000+ employees to ensure accuracy and compliance.

Created Power BI dashboards and Excel reports to track HR metrics and attendance trends.

Partnered with HR and operations teams to deliver insights that supported strategic decision-making.

Automated data processing tasks to improve reporting speed by 30% and reduce manual errors.

Tools / Tech: HRMS Software, Excel, Power BI, Google Colab, Python, SQL.

Data Scientist Intern

Bitmap Technology Feb 2022 – Feb 2023

Performed data cleaning, EDA, and visualization to generate actionable insights.

Used SQL queries and Python libraries for efficient data extraction, manipulation, and reporting.

Collaborated with cross-functional teams to present findings and support project goals.

Tools / Tech: Python, SQL, Google Colab, NumPy, Pandas. TECHNICAL SKILLS

Programming & Databases

Python, SQL, MySQL, Java, C, C++

Data Analysis & Visualization

Power BI, MS Excel, Pandas, NumPy, Matplotlib etc. Data Processes

Data Cleaning, Data Modeling, EDA, KPI Reporting, Automation etc.

Other Tools

Google Colab, MS Word, MS PowerPoint, SharePoint, Azure, AI Tools etc.

PROJECTS

1. Utility Billing Software for Market

Segmentation

Designed and developed a Utility Billing Software for market segmentation to streamline the billing process.

Automated critical tasks such as fee calculations and invoice generation to enhance efficiency and reduce errors.

Built a user-friendly interface using Tkinter, ensuring ease of use for end users.

Incorporated data visualization capabilities to analyze billing trends and support market segmentation

strategies.

Leveraged Power BI for advanced reporting and

insights into billing and customer data.

Technical Stack: Python, Tkinter, and Power BI.

2. IMDB Top 250 Movie Analysis

Conducted an in-depth analysis of IMDb's Top 250 movies to uncover trends in genres, directors, and ratings.

Explored temporal shifts in movie releases to

understand evolving audience preferences and

cinematic quality over time.

Derived actionable insights into the factors

influencing audience appreciation and critical acclaim.

Technical Stack: Python, Pandas, and Google Colab. EDUCATION

B.E. (CSE) 69%

Sinhgad Institute of Technology, Lonavala 2023

HSC 65%

Mahatma Phule Nutan Jr. College 2019

SSC 85%

Nutan Madhyamik Vidyalaya 2017

CERTIFICATIONS

Python for Data Science by NPTEL

SQL Intermediate certificate by HackerRank

Excel Certificate (Great Learning)

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