Data Analyst with 4+ years of experience driving operational efficiency in the telecom sector. I specialize in transforming raw, complex datasets into actionable business insights that improve decision-making.
- 📊 Design and optimize end-to-end SQL solutions (Joins, CTEs, Window Functions)
- 📈 Develop interactive Power BI dashboards for business decision-making
- 🧠 Focus on revenue analysis, customer segmentation, and ETL pipeline design
- 💼 Experience across Telecom operations, Retail, Hospitality, and Job Market analytics
- 📫 Reach me at: manoharmanu.k1999@gmail.com
- 🚀 Built and deployed dashboards tracking 25+ critical business KPIs.
- ⚡ Improved data analysis efficiency using SQL automation and reusable queries.
- 📉 Identified key revenue trends, seasonal patterns, and customer segments across retail and hospitality domains.
- 🏗 Designed end-to-end ETL workflows, data warehousing architectures, and validation pipelines.
Click on any project title to view the full repository and code.
| Preview | Project | Business Impact & Description | Tech Stack |
|---|---|---|---|
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Adventure Works Dashboard | Designed a multi-page dashboard tracking KPIs, regional performance, and high-margin customer segments. | Power BI, DAX |
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SQL Server Data Warehouse | Architected an end-to-end data warehouse utilizing Medallion Architecture and robust ETL pipelines. | SQL Server, ETL |
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Maven Movies Acquisition Analysis | Simulated due diligence to evaluate revenue stability, inventory risk, and customer lifetime value (CLTV). | MySQL, CTEs |
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AtliQ Hospitality Data Analysis | Performed EDA on booking data to uncover revenue trends and occupancy patterns. | Python, Pandas |
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PAN Data Validation Pipeline | Built a pipeline to validate and clean data using regex, duplicate detection, and quality checks. | PostgreSQL, Regex |
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Maven MegaMart Retail Analysis | Analyzed millions of transactions to identify key revenue drivers and seasonal sales patterns. | Python, Seaborn |
- 👉 SQL Music Store Analysis
- Exploratory analysis using window functions to derive customer insights.
- Tools:
PostgreSQL•SQL
- 👉 U.S. Data Analyst Job Trends
- Explored tech skills, job titles, and salary benchmarks from 2024 postings.
- Tools:
Python•Pandas•Plotly
- 👉 Walmart Sales Analysis
- Uncovered customer behavior patterns and top-performing product categories.
- Tools:
SQL Server•T-SQL
- 👉 Data Jobs Market Dashboard
- Built a comprehensive dashboard analyzing global job market trends and in-demand skills.
- Tools:
Power BI•DAX•Power Query
| Category | Tools |
|---|---|
| Databases |    |
| Languages & Libraries |       |
| BI Tools |     |
| Concepts |      |
| Tools |       |
- Advanced Power BI: DAX optimization and performance tuning for large semantic models.
- Data Engineering Concepts: Exploring ETL orchestration and robust data pipelines.
- Data Workflows: API integration and automated data extraction.
- Bachelor of Science in Computer Science | Tumkur University (2017 - 2021)
- Core focus on programming, databases, and analytical problem-solving.
- Microsoft Power BI: Desktop for Business Intelligence (Udemy)
- SQL: The Complete SQL Bootcamp (Udemy) | MySQL Data Analysis (Maven)
- Python: Programming for Everybody (Coursera) | Python Foundations & Pandas (Maven)
- Data Visualization: Matplotlib & Seaborn (Maven)
- Excel: Excel Skills for Business (Macquarie Univ.)
💡 "Transforming complex data into intelligent solutions that drive business success"