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Swapnil Tayde | Data Analytics Portfolio

Welcome to my portfolio website, where I showcase data analytics, data science, and business intelligence projects completed as part of my internship at Unified Mentor Pvt. Ltd.

I am currently transitioning from IT staffing to Data Analytics / Data Science / AI Engineering, and this portfolio reflects my practical work across Python, SQL, Power BI, Excel, and data storytelling.

Portfolio Website

🔗 Live Website:
https://swapniltayde09.github.io/UM-Projects-Portfolio/

About Me

I am a detail-oriented professional transitioning into the data domain with a strong interest in solving business problems using analytics, visualization, and machine learning. Through my internship projects at Unified Mentor Pvt. Ltd., I have worked on real-world datasets across HR analytics, pricing intelligence, influencer analytics, e-learning analytics, and retail sales analysis.

My goal is to build a career in:

  • Data Analytics
  • Data Science
  • AI Engineering
  • Business Intelligence

Tools & Skills

  • Languages: SQL, Python
  • Libraries: Pandas, Matplotlib, Seaborn
  • Visualization: Power BI, Tableau, Excel Charts
  • Database: MySQL
  • Other: Exploratory Data Analysis, Dashboarding, Data Cleaning, Feature Engineering, Reporting

Featured Projects

1. IBM HR Analytics Employee Attrition Performance

Tools: Python, Data Analysis, Visualization
This project analyzes employee attrition drivers and workforce patterns to help identify the factors influencing employee turnover. [file:33][file:48]

  • Attrition trend analysis
  • Driver identification
  • Correlation and workforce insights

Repository:
https://github.com/swapniltayde09/hr-attrition-analysis-ml-dashboard

Report:
HR_Attrition_Analysis_Report_Detailed.pdf


2. Data Science Job Salaries Analysis

Tools: Python, EDA, Visualization
This project explores salary trends in data science roles across experience levels, job categories, and locations. [file:33][file:51]

  • Salary distribution analysis
  • Experience-level comparisons
  • Role and compensation insights

Repository:
https://github.com/swapniltayde09/Data-Science-Job-Salaries-Analysis

Report:
Data_Science_Salary_EDA_Detailed_Report.pdf


3. Pre-Owned Motorcycle Financial Analysis

Tools: Python, Excel, Power BI, MySQL
This project builds a pricing intelligence framework for used motorcycles using cleaned listing data, feature engineering, and predictive valuation logic. The analysis used 7,857 raw records, 5,869 cleaned records, and 5,071 model-ready records. [file:49]

  • Pricing intelligence dashboard
  • Undervalued vs fair vs overpriced listings
  • Depreciation analysis
  • Predictive pricing model

Repository:
https://github.com/swapniltayde09/pre-owned-motorcycle-analytics

Report:
Pre-Owned_Motorcycle_Financial_Analysis_Report.pdf


4. Instagram Influencer Analytics

Tools: SQL, Excel, Tableau, Python
This SQL-driven analytics project evaluates 200 top Instagram influencers using engagement, momentum, efficiency, and corrected influence scoring instead of follower count alone. [file:50]

  • Engagement-based influencer evaluation
  • Momentum and growth analysis
  • Geographic and ROI insights
  • Corrected scoring framework

Repository:
https://github.com/swapniltayde09/Instagram-Influencer-Analytics

Report:
Instagram_Influencer_Report_Final.pdf


5. Udemy Course Performance Analysis

Tools: SQL, Excel, Data Visualization
This project analyzes 6,659 Udemy courses from 2010 to 2020 to identify pricing, growth, quality, and category performance trends. [file:44]

  • Category performance analysis
  • Growth trend analysis
  • Pricing strategy insights
  • Subscriber and rating patterns

Repository:
https://github.com/swapniltayde09/Udemy-Courses-Performance-Analysis

Reports:
Udemy-_Course_Analysis_Report.pdf
Udemy_EDA_Presentation.pdf


6. Supermart Grocery Sales Retail Analytics

Tools: SQL, Excel, Dashboarding
This project explores retail sales and profitability patterns across categories and business dimensions to support decision-making. [file:33][file:45]

  • Profit by category
  • Sales trend insights
  • Retail performance analysis

Repository:
https://github.com/swapniltayde09/Supermart-Grocery-Sales-Retail-Analytics

Report:
Supermart_Sales_Analytics_Report.pdf

What This Portfolio Demonstrates

This portfolio highlights my ability to:

  • Clean and transform raw data
  • Perform exploratory data analysis
  • Build dashboards and reports
  • Generate business insights from structured and unstructured datasets
  • Communicate findings in a clear, decision-oriented format

Internship Context

These projects were completed during my internship at UM Pvt. Ltd., where I worked on practical analytics assignments across multiple domains. The portfolio reflects my learning journey, technical development, and transition into analytics-focused roles. [file:49][file:44][file:50]

Contact

Note

This repository is intended to present my internship projects, reports, dashboards, and analytics work in one place for recruiters, hiring managers, and collaborators.## Developer Portfolio Landing Page Template


About

During my internship at Unified Mentor, I built a structured data‑analytics portfolio across Excel, SQL, and Python, progressing from beginner business datasets to advanced exploratory and ML‑driven analyses. Each project reflects increasing complexity in data cleaning, transformation, visualization, and insights generation.

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