Hi, I'm Manohar
I am an
Turning raw data into actionable insights. I analyze complex datasets, build interactive dashboards, and design data pipelines to drive growth and smarter decision-making.
Featured Projects
A curated selection of my work in data analysis, dashboard visualization, and full-stack development.
Agri-proj — Agriculture Management App
Full-stack agriculture management web app built in a 14-day sprint. Farmers can track crops, monitor soil health (NPK + pH), and log weather data with interactive recharts dashboards. Features NextAuth authentication, Prisma ORM, Playwright E2E tests, and full documentation.
Highlights
- •14-day sprint — Day 1 to production
- •Soil health score gauge (0–100)
- •Playwright E2E test suite (10 scenarios)
- •Full docs: README, API, ARCHITECTURE, HANDOFF
Zomato Data Analysis
Exploratory data analysis of Zomato restaurant data using Python and Pandas. Uncovered insights on pricing, ratings, and cuisine trends across cities.
Highlights
- •Restaurant ratings analysis
- •City-wise price trends
- •Cuisine popularity insights
Agriculture Data Analysis
EDA of 2,418 rows of agriculture data combining Kaggle crop dataset + Agri-proj farm data. 16 charts generated using Python, Pandas, Seaborn and Matplotlib. Power BI dashboard with 4 pages covering soil health, weather patterns, and crop performance.
Highlights
- •2,418 rows analyzed across 5 datasets
- •16 EDA charts — soil, weather, crop insights
- •Power BI dashboard (4 pages)
- •Combined Kaggle + real farm data
Agriculture Farm Management Dashboard
Interactive 5-page Power BI dashboard for agriculture farm management. Built on 4,800+ rows of Python-generated data across 50 farms. Covers crop performance, soil health, weather analytics, and financial P&L with 120.7% ROI insight.
Highlights
- •4,800+ rows across 5 relational tables
- •5-page dashboard: Overview, Crops, Soil, Weather, Finance
- •120.7% ROI discovered from farm data
- •50 farms across 7 Indian states
Bank Loan Analysis
End-to-end bank loan analysis using MySQL and Power BI. Analyzed 31,679 loan records, wrote 15 SQL queries, and built a 4-page interactive Power BI dashboard covering default rates, risk segmentation, customer profiling, and financial risk.
Highlights
- •31,679 loan records analyzed
- •15 SQL queries — default rate, risk, income
- •4-page Power BI dashboard
- •21.54% default rate discovered
Technical Skills
A breakdown of my data analysis tools, visualization software, development stack, and frameworks I am actively learning.