π§ βWithout data, you're just another person with an opinion.β β W. Edwards Deming
π― Data Analyst | SQL | Business Intelligence | Analytics Engineering
I specialise in transforming structured and unstructured data into actionable business insights using SQL, Python, and Power BI.
- Delivered 8+ structured analytics projects across retail, hospitality, and job market domains
- Designed KPI dashboards with 25+ business metrics
- Built end-to-end SQL solutions using joins, CTEs, and window functions
- Applied revenue analysis, customer segmentation, and inventory risk modelling
- Strong foundation in MySQL, PostgreSQL, SQL Server, Power BI, and Python
I'm a data analytics enthusiast passionate about transforming raw data into actionable insights that drive smarter business decisions.
From hotel performance and retail trends to job market analysis, I build compelling data stories using tools like Power BI, Excel, Python, and SQL.
These projects demonstrate end-to-end SQL analytics, data engineering workflows, and business-driven decision support across multiple domains.
Designed and implemented an end-to-end data warehouse using SQL Server and Medallion Architecture (Bronze, Silver, Gold).
The project focuses on ETL pipeline development, data quality handling, and dimensional modelling for analytics.
π GitHub Repo
π Tools: SQL Server, T-SQL, Stored Procedures, ETL, Dimensional Modelling
Conducted a structured acquisition-style business analysis using MySQL to evaluate revenue stability, inventory capital exposure, and customer lifetime value in a two-store retail model.
The project simulates real-world due diligence, applying multi-table joins, CTEs, and window functions to assess financial risk, capital efficiency, and monetization opportunities.
π GitHub Repo
π Tools: MySQL, SQL, CTEs, Window Functions, Revenue Analysis, CLTV, Inventory Risk, Business Analytics
Built a real-world SQL data validation pipeline in PostgreSQL to clean, standardise, and validate Indian PAN numbers.
Implemented regex-based format checks, duplicate handling, and sequence/repetition detection to classify valid and invalid records and generate data quality insights.
π GitHub Repo
π Tools: PostgreSQL, SQL, DBeaver, Regex, CTE, Window Functions, Data Validation, CSV
Designed and executed SQL-driven exploratory analysis on a digital music store dataset using PostgreSQL.
The project focuses on business-oriented analysis using joins, aggregations, window functions, and CTEs to derive insights from customer, sales, and catalog data.
π GitHub Repo
π Tools: PostgreSQL, SQL, DBeaver, Window Functions, CTEs, CSV
Analysed Walmart sales data using SQL to uncover trends, customer behaviour, and top-performing products. Built insights using aggregations, joins, and time-based analysis to support data-driven decisions.
π GitHub Repo
π Tools: SQL Server, Data Analysis, Business Insights
Analysed 2024 job postings to uncover salary trends, in-demand skills, and remote opportunities.
π GitHub Repo
π Tools: Power BI, Power Query, DAX
Uncovered booking trends and revenue insights using hotel data.
π GitHub Repo
π Tools: Pandas, Seaborn, Matplotlib
Analysed millions of retail transactions to identify key revenue drivers.
π GitHub Repo
π Tools: Python, Time-Series, Seaborn
Explored tech skills, job titles, and salary benchmarks from job postings.
π GitHub Repo
π Tools: Pandas, Python, Plotly, Numpy
Created a multi-page sales dashboard with insights on KPIs, regions, products, and customer segments.
π GitHub Repo
π Pages: KPIs, Regions, Products, Customers
π Tools: Power BI, DAX
Hi again! Iβm Manohar β someone who loves making work life less overwhelming and a lot more insightful with dashboards, data, and a dose of curiosity.
Here on GitHub, youβll find:
- π οΈ Practical projects using real-world datasets
- π Dashboards and analytics reports powered by Python & Power BI
- π Explorations into trends, behaviours, and business outcomes
- π‘ Lessons Iβm learning as I grow into the data space
Whether youβre here to browse code, share ideas, or see how others are figuring things out β youβre in the right place. Letβs connect, learn, and grow β one repo at a time.
You bring the snacks πͺ, Iβll bring the code π»
Hereβs whatβs in my toolbox:
| Category | Tools |
|---|---|
| Database | |
| Programming & Libraries | |
| Analytics & BI | |
| Version Control | |
| Frameworks | |
| Tools & Platforms |
Here are my verified certifications from top platforms:
- π§Ύ Excel Skills for Business β Macquarie University
- π§Ύ Programming for Everybody (Python) β University of Michigan
- π§Ύ Preparing Data for Analysis with Excel
- π§Ύ Python Foundations for Data Analysis
- π§Ύ MySQL Data Analysis
- π§Ύ Microsoft Copilot for Excel
- π§Ύ Data Visualization with Matplotlib & Seaborn
- π§Ύ Data Analysis with Python & Pandas
- π§Ύ Cloud Basics for Data Professionals
π‘ "Transforming complex data into intelligent solutions that drive business success"
β Thanks for stopping by! Donβt forget to check out my projects and give them a β if they spark your interest!
