Hello, I'm Sujith TS

About Me

I am originally from Coorg district, Karnataka, and currently based in Whitefield, Bangalore. I’m passionate about designing creative and interactive dashboards that bring data to life.

I enjoy blending raw data into meaningful insights that drive smarter decisions.

Education

Experience

Skills

Power BI

Excel

Power Automate

Paginated Reports

Oracle SQL

MySQL

Snowflake

Azure Databricks

MS Copilot

ChatGPT

Certifications

Microsoft Certified PL-300

Microsoft Certified DP-900

Introdution to Agile Methodologies

Microsoft Power Automate

Power Bi with ChatGpt & Copilot

Generative AI for Beginners

Data Visualization: Empowering Business With Effective Insights

Power BI Essential Training Linkedin 2024

Awards

Contextual Master Award

Special Initiative Award

My Projects

HRAnalytics Dashboard

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🔹 Key Features:

✅ Gender-wise employee count.

✅ Total employee headcount.

✅ Average Salary.

✅ Technical skills and work mode details.

✅Interactive slicers for deeper analysis.

Using Dummy dataset 📈

🎯 Outcome:

This dashboard provides quick insights into employee demographics, salary trends, and skill composition, helping HR/management take data-driven decisions with ease.

Dashboard: Exploring Sales Trends, Insights and Resale Value Accross India's Motorcycle Market

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🔹 Key Features:

✅ KPI Metrics showing Average Bike Price, Average Resale Price, Average Mileage.

✅ Fuel type filters (Electric, Hybrid, Petrol).

✅ Selection of multiple years of manufacture.

✅ Donut chart showing distribution across Kawasaki models (Vulcan S, Z650, Ninja 300, Ninja 400, Versys 650).

✅ Map view showing city-tier distribution (Metro, Tier 1, Tier 2, Tier 3).

✅ Fully interactive slicers for year, brand, and fuel type selection.

🎯 Outcome:

This dashboard provides a comprehensive analysis of Kawasaki bikes in India, enabling stakeholders to evaluate market trends, customer preferences, resale values, and regional demand. It helps decision-makers identify high-demand models, pricing insights, ownership patterns, and geographical hotspots for better sales and marketing strategies.

India vs Australia ODI matches Batting & Bowling Data Analysis 🏏

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🔹 Key Features:

✅ Player-wise selection with slicers.

✅ Smooth navigation & buttons for page transitions.

✅ KPI Cards for key stats like runs, wickets, strike rate, economy.

✅ Data directly imported from ESPN Cricinfo Statsguru Wikidata.

🎯 Outcome:

This project highlights how data storytelling can bring sports analytics to life — turning scattered stats into actionable insights for analysts, coaches, and fans.

BigBasket Sales Performance Dashboard

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🔹 Key Features:

✅ KPIs at a glance: Total Sales, Average Sales, Average Rating, Number of Items.

✅ nteractive Filters: Outlet Location Type, Item Type.

✅ Bar Graphs for Item Type & Outlet Locations.

✅ Line Chart for Sales over Years.

✅ Pie Chart for Outlet Size.

✅ Comparative Fat by Outlet.

🎯 Outcome:

Using Dummy Dataset The BigBasket Sales Dashboard provides a clear and insightful overview of overall business performance by tracking key sales metrics, outlet contributions, and customer preferences. It highlights total sales, average sales, product ratings, and item distribution while offering a detailed breakdown of sales by item type, outlet size, and location. The dashboard helps identify top-performing product categories such as fruits and snacks, reveals customer preference for low-fat products, and shows that Tier 3 and medium-sized outlets contribute the highest share of sales. By presenting trends over outlet establishment years and enabling interactive filtering, this dashboard supports data-driven decision-making for product strategy, customer engagement, and outlet expansion planning.

Extreme Fitness – Membership & Revenue Analytics

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🔹 Key Features:

✅ To track gym performance (revenue, active/inactive members).

✅ To analyze membership distribution across Silver, Gold, Platinum.

✅ To monitor trainer count and client engagement.

✅ To understand payment behavior (installments vs. full vs. partial).

🎯 Outcome:

This dashboard provides complete visibility into gym performance by tracking revenue, client activity, and membership engagement. Management can easily monitor active vs. inactive members, trainer allocation, and client-to-trainer ratios, improving operational efficiency. Financial insights highlight dominant payment methods, while demographic segmentation by gender, unit, and age group supports targeted marketing. Overall, it empowers decision-makers with actionable insights for pricing strategies, promotional offers, and business growth.