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Sanjay Kumar J

Data Aspirant

+91 9739938203 [email protected]

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Hello, I am

Sanjay Kumar J.

1

Excel Project

1

PowerBI Project

1

Python Project

About Me

Hi! 👋

I’m Sanjay Kumar J, a fresh graduate with a passion for working with data and finding insights that solve real problems. I enjoy analyzing numbers, creating reports, and helping people understand what the data is really saying.

What I Can Do:
-> Analyze Data: Use tools like Excel and Python to find trends and patterns.
-> Build Dashboards: Create clear and interactive reports in Power BI.
-> Work with Databases: Write SQL queries to get and organize data.

How I Can Help You:
-> Simplify your data so it’s easy to understand.
-> Save time by automating reports and processes.
-> Turn numbers into insights that help in decision-making.

Let’s Connect!
I’m eager to learn, grow, and contribute to exciting projects. If you’re looking for someone passionate about data and ready to make an impact, feel free to reach out or connect with me. Let’s create something amazing together!

Key Skills

Power BI

SQL

Excel

Python

Django

ML

Git/Github

My Projects

Awards & Certificate

Excel: Mother of Business Intelligence

Get Job Ready: Power BI Data Analytics for All Levels 3.0

SQL Beginner to Advanced For Data Professionals

Let's Connect

Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.

[email protected]

https://www.linkedin.com/in/sanjay-kumar-j-996165258/

+ 91 9739938203

https://github.com/Sanjaykumar-j

Excel Project

Blinkit

Domain/Function: E-Commerce

Designed a Blinkit sales dashboard showcasing total sales, average sales, item count, and ratings. Interactive filters allow insights by outlet size, location, and item type. Visuals include sales by fat content, item type, outlet size, and location, enabling data-driven decision-making.

Blinkit Excel Dashboard

Pivot Tables

Project Details

This Blinkit sales dashboard provides a comprehensive view of business performance with interactive visualizations. It highlights total sales ($1.20M), average sales ($141), number of items (8,523), and average ratings (4.0). The filter panel allows dynamic analysis by outlet size, location tier, and item type, providing flexibility for in-depth insights. Key visualizations include sales distribution by fat content (Low Fat vs. Regular), item type, outlet size, and location, offering a breakdown of contributions across categories. A time-series chart illustrates outlet establishment trends from 2011 to 2022. The dashboard also compares outlet types (Supermarket Type1, Type2, and Grocery Store) in terms of sales, ratings, and item counts. With its clean design and actionable insights, this dashboard enables better decision-making to optimize product performance and improve store operations.

PowerBI Project

Patient Data Analysis

Domain/Function: Healthcare

This healthcare dashboard summarizes patient waitlist data, displaying key metrics like total waitlist, age profiles, case type splits, and trends over time. It includes interactive filters for date, case type, and specialty, enabling deeper insights into outpatient, inpatient, and day case trends.

Patient Data Analysis

Summary View

Patient Data Analysis

Detailed View

Project Details

This healthcare analytics dashboard provides a comprehensive overview of patient waitlist data. Key metrics include the latest monthly waitlist (709K) compared to the previous year's (640K), with a breakdown by case type: outpatient, inpatient, and day cases. A donut chart visualizes the proportional split of cases, while a bar chart analyzes time bands versus age profiles, offering insights into waiting periods across different age groups. The dashboard also highlights median and average wait times for various specialties, including Accident & Emergency, Cardiology, and Dermatology. Interactive filters for archive date, case type, and specialty allow users to customize their view. A trend analysis visual tracks case type variations over time, showcasing fluctuations in patient loads from 2018 to 2021, aiding in performance evaluation and resource planning.

Python Project

Multiple Disease Prediction with HealthGpt and Food Image Nutrition Analyzer

Domain/Function: Healthcare

Developed a Multiple Disease Prediction System using ML to predict heart disease, diabetes, and Parkinson’s. Integrated an LLM-based chatbot for Q&A on these diseases. Enhanced with a food image analyzer to estimate calories and assess healthiness, promoting better lifestyle choices.

Other Tools

Django

ML

GenAI

Multiple Disease Prediction with HealthGpt and Food Image Nutrition Analyzer

Services Offered in our Project

Multiple Disease Prediction with HealthGpt and Food Image Nutrition Analyzer

HealthGpt - Answers Queries Related to Disease Like Heart, Diabetes, Parkinson

Project Details

Designed and implemented a Multiple Disease Prediction System leveraging machine learning to predict heart disease, diabetes, and Parkinson’s with high accuracy. Integrated a Large Language Model (LLM)-powered chatbot to answer health-related questions about these diseases, providing users with personalized insights and recommendations. Enhanced the system with an innovative food image analyzer capable of estimating the calorie content and determining if the food is healthy, helping users make informed dietary choices. This end-to-end solution demonstrates expertise in machine learning, healthcare analytics, and AI-driven user engagement, aimed at promoting health awareness and improving quality of life.