Aspiring Data Analyst
Turning Data into Decisions

Skilled in SQL, Power BI, Excel, and Python. I focus on turning raw data into clear business insights and interactive dashboards that support strategic decision-making.

Bhavesh Kshirsagar
Bhavesh Kshirsagar

Name: Bhavesh Kshirsagar

Job Role: Aspiring Data Analyst

Experience: 3+ Months (Internship)

Address: Pune, Maharashtra

Proficiency

SQL 90%
PYTHON 85%
Data Visualization 90%
Excel 95%
Statistics 80%

About

About Me

I chose data analytics because I’ve always been fascinated by how numbers can tell a story and solve complex business problems. During my 3+ month internship at Unified Mentor, I transitioned from learning tools to applying them on real-world datasets, focusing on sales and healthcare. My approach is simple: I don't just look at data; I look for the "why" behind the trends to help businesses make better choices.

Profile: Data Analytics & Visualization
Domain: Sales, Healthcare & Supply Chain
Education: Bachelor of Engineering
Language: English, Hindi, Marathi
BI Tools: Microsoft Power BI
Other Skills: OOPS, Excel, Pandas, NumPy, PySpark
Interest: Data Storytelling, Traveling, Teaching

Technical Skills

Data Tools

  • SQL – Joins, aggregations, subqueries for sales and healthcare datasets
  • Power BI – Dashboards, KPIs, slicers, RLS
  • Excel – Pivot tables, Power Query, dashboards

Programming

  • Python – EDA, Pandas, Matplotlib, Seaborn
  • Statistics – Descriptive stats, Hypothesis testing, Regression

Databases & Concepts

  • PostgreSQL, SQL Server
  • Data Warehousing & ETL
  • Data Storytelling & Visualization

Featured Case Studies

NHS Waiting List Dashboard
Power BI

NHS Waiting List Insights

Business Problem: Executive management lacked visibility into real-time patient waiting times across departments, leading to resource allocation inefficiencies.

Tools Used: SQL, Power BI, DAX

Key Analysis: Row-Level Security (RLS), KPI cards, and drill-through departmental deep-dives.

Insights & Impact: Increased stakeholder engagement by 40% and reduced reporting time by 15 hours/month.

View Case Study
Sales Data Analysis Dashboard
Excel

Sales Data Analysis

Business Problem: Raw sales data was unorganized, making it difficult to identify regional performance trends and top-selling products.

Tools Used: Excel, Power Query, SQL

Key Analysis: Pivot Tables, Slicers, and automated data refresh via Power Query.

Insights & Impact: Identified 3 low-revenue regions for strategic focus and optimized inventory distribution.

View Case Study
Supply Chain Analysis
Python

Supply Chain EDA

Business Problem: Unpredictable delivery delays were causing supply chain bottlenecks and customer dissatisfaction.

Tools Used: Python (Pandas, Matplotlib, Seaborn)

Key Analysis: Lead time distribution visualization and carrier performance correlation.

Insights & Impact: Identified root causes of delays, leading to a strategy that reduced late deliveries by 15%.

View Case Study
Smart Engine Locking System
IoT / Embedded

Smart Engine Locking System

Business Problem: Vehicle theft and unauthorized access are major concerns for vehicle owners.

Tools Used: Embedded C, Microcontrollers

Key Analysis: Biometric authentication and GSM module integration for remote alerts.

Insights & Impact: Designed a robust security system that enhances vehicle protection and user peace of mind.

View Documentation
Flipkart Product Scraper
Python & ETL

Flipkart Product Scraper

Business Problem: Manual market research across e-commerce platforms is slow, inefficient, and prone to human error, hindering competitive analysis.

Tools Used: Python, Playwright, PostgreSQL, Pandas

Key Analysis: Dynamic web scraping handling pagination and popups, and real-time structured data storage into PostgreSQL.

Insights & Impact: Automated extraction of product details across multiple categories, saving up to 90% of manual data entry time and enabling rapid market trend analysis.

View Case Study
School Analytics Pro Dashboard
Streamlit & Analytics

School Analytics Pro

Business Problem: Fragmented academic data made it difficult for educators and administrators to track student performance, attendance trends, and attrition risks.

Tools Used: Python, Streamlit, Plotly, PostgreSQL

Key Analysis: Secure role-based access, interactive KPI dashboards, heatmaps, and a composite risk scoring system for students.

Insights & Impact: Centralized data management, allowing proactive identification of at-risk students and reducing administrative reporting overhead by standardizing performance tracking.

View Case Study

Experience

Data Analyst Intern

Unified Mentor Pvt Ltd
  • Analyzed sales and churn data using SQL and Python to identify key customer drop-off patterns.
  • Developed business-ready visual reports in Power BI to support executive decision-making.
  • Automated data cleaning processes using Excel Power Query, reducing manual effort by 20%.

Certifications

Get In Touch

bhaveshkshirsagar50@gmail.com

+91 9325369612

Pune, Maharashtra

Interested in working together?

Feel free to connect with me on LinkedIn or reach out via email.