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manasjadhav0086/README.md

Hi πŸ‘‹, I'm Manas Jadhav

Data Analyst | Power BI Developer | Data Engineering Enthusiast

Building scalable data pipelines, optimizing analytics systems, and delivering executive dashboards.


πŸ‘¨β€πŸ’» About Me

β€’ Data Analyst with production experience in BI, SQL optimization, and ETL pipelines
β€’ Currently working at Q3 Technologies with onsite client engagement at NIIT
β€’ Reduced SQL query runtime from 14 minutes to 45 seconds (94% improvement)
β€’ Experienced in building Power BI dashboards for executive leadership
β€’ Designed ETL pipelines using SSIS, Azure Data Factory, and Pentaho
β€’ Passionate about data engineering, analytics architecture, and AI-powered analytics systems


🧰 Tech Stack

Languages & Tools

Data & Analytics

  • SQL Server
  • MySQL
  • PostgreSQL
  • Snowflake
  • BigQuery

Business Intelligence

  • Power BI
  • DAX
  • Power Query
  • Zoho Analytics
  • Star Schema Modeling

Data Engineering

  • Azure Data Factory
  • SSIS
  • Pentaho
  • Data Migration
  • ETL Pipelines

Python Ecosystem

  • Pandas
  • NumPy
  • Matplotlib
  • Scikit-learn
  • Streamlit

πŸš€ Featured Projects

πŸ€– AI Business KPI Recommendation System

AI-powered analytics system that recommends business KPIs based on industry type and business objectives.

Tech Stack

Python β€’ Pandas β€’ NumPy β€’ MySQL β€’ Streamlit β€’ Machine Learning

Key Features

  • AI driven KPI recommendation engine
  • Business analytics automation
  • Interactive analytics dashboard
  • Data driven decision support system

πŸ”— Repo
https://github.com/manasjadhav0086/AI-Business-KPI-recommendation-system


πŸ“ˆ Retail Demand Forecasting

Machine learning model to forecast retail demand using historical sales data.

Tech Stack

Python β€’ Scikit-learn β€’ Pandas β€’ Matplotlib β€’ Power BI

Highlights

  • Time series demand prediction
  • Feature engineering & EDA
  • Inventory planning insights
  • Retail analytics visualization

πŸ”— Repo
https://github.com/manasjadhav0086/retail-demand-forecasting


πŸ“Š Adventure Works Sales Analytics

Power BI analytics solution for monitoring business performance.

Features

  • Sales KPI dashboards
  • Product performance analytics
  • Revenue insights
  • Executive level reporting

πŸ”— Repo
https://github.com/manasjadhav0086/Adventure-Works


πŸ•΅οΈ Black Money Transaction Analysis

Data analysis system to identify patterns and anomalies in suspicious financial transactions.

Tech Stack

Python β€’ Pandas β€’ Streamlit

Capabilities

  • Transaction pattern analysis
  • Data visualization dashboards
  • Fraud pattern detection

πŸ”— Repo
https://github.com/Forsaken0702/Quantum-leap-coders-043


πŸ“Š GitHub Analytics


🀝 Let's Connect


⭐ Always open to collaborating on Data Engineering, BI Systems, and AI Analytics projects

Pinned Loading

  1. Adventure-Works Adventure-Works Public

    This project aims to create a dynamic, real-time dashboard in Power BI using the Adventure Works dataset. The solution integrates Python for data processing, MySQL for data storage, and Power BI fo…

    Python 1 1

  2. Python-SQL-Integration-with-EDA Python-SQL-Integration-with-EDA Public

    This project demonstrates how to integrate Python and SQL for creating, storing, and analyzing sales data. It involves generating synthetic data, performing SQL queries for actionable insights, and…

    Jupyter Notebook 1

  3. Data-Scraping-Using-Beautiful-soup Data-Scraping-Using-Beautiful-soup Public

    This project demonstrates how to scrape movie data from IMDb using Python. The notebook contains code to extract specific information about movies, such as their title, genre, release year, and mor…

    Jupyter Notebook

  4. sales_analytics_dashboard sales_analytics_dashboard Public

    An interactive Streamlit-based web app to analyze and visualize sales data with features like dynamic filtering, KPIs, and customizable charts.

    Python