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Ashwin1238-stack/README.md

Hi, I'm Ashwin Kumar

💼 Data Science & AI Trainer   |  💼 Ex- Data Analyst at HDFC Bank   |   💼 Ex-Market Research Analyst at ITC Ltd.

Python SQL Power BI Excel

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👨‍💻ABOUT ME👨‍💻

  • 🔍 Exploring the world of Data Science, Machine Learning, and Business Intelligence
  • 💼 Ex-Personal Banker - Data Analyst at HDFC Bank | Currently Working at TEKS Academy
  • 🎓 MBA in Business Analytics
  • 💡 5⭐ in SQL on HackerRank | Hackathon Participant | EDA Enthusiast
  • 📈 Passionate about transforming data into meaningful insights

🔧 Tools & Technologies


🎯 My Projects & Insights

Market Analysis Icon

🔍 Objective: Predict customer churn for a telecom service
🛠️ Tools: Python, Power BI, Logistic Regression, Random Forest
📈 Process:

  • Cleaned and preprocessed large customer datasets
  • Conducted EDA to understand churn drivers
  • Built and compared Logistic Regression and Random Forest models

💡 Insights:

  • Month-to-month customers using electronic cheque pay showed higher churn risk
  • Long-term contracts and autopay (credit card) reduced churn significantly
    ✅ Result: Enabled strategic retention planning based on model outcomes

🔍 Objective: Analyze trending roles and skills in the data sector
🛠️ Tools: Python, SQL, Excel
📊 Process:

  • Scraped live job postings via APIs and web scraping
  • Cleaned data to standardize job titles, locations, and skills
  • Queried datasets using MySQL for aggregated insights

💡 Insights:

  • Top in-demand roles: Management, Engineering, and Analyst
  • Geographic hotspots: Seoul and Apia
  • Peak activity observed in December 2021
  • Employers prioritize candidates with hands-on data projects
    ✅ Result: Provided data-informed recommendations for learners and job seekers

Networking Icon


🤝 Let's Connect & Collaborate

Gmail Badge   LinkedIn Badge   GitHub Badge


🙏 Thank you for visiting my profile! Feel free to reach out — let's build something amazing together. 🚀



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  1. Customer-Churn-Analysis Customer-Churn-Analysis Public

    Customer Churn Analysis & Prediction - This project aims to use machine learning and visualization to understand and predict customer churn behavior in a subscription-based business.

    Jupyter Notebook

  2. Job-Scraper-Analyzing-Data-Roles-Trends Job-Scraper-Analyzing-Data-Roles-Trends Public

    This project focuses on analyzing trends in the data-related job market by leveraging Job data wrangling, SQL-based data analysis, and data visualization techniques. The objective is to extract liv…

    Jupyter Notebook

  3. Image_Classification-using-CNN Image_Classification-using-CNN Public

    This Project classify the images using CNN Model with the help of conv2D, Maxpooling, Flatten, Dense, Complie etc.

    Jupyter Notebook

  4. Azure-Databricks-Store-Analysis Azure-Databricks-Store-Analysis Public

    This project focuses on analyzing trends in the data-related retail market by leveraging Azure Databricks-based data analysis, and data visualization techniques. The objective is to extract live jo…

    Jupyter Notebook

  5. GEN-AI_Story_Generator GEN-AI_Story_Generator Public

    GenAI Story Generator is a Python-based application that uses Generative AI and Transformer models to create engaging stories from user-provided prompts. It generates contextually relevant and cohe…

    Jupyter Notebook

  6. Youtube_Retrieval-Augmented-Generation Youtube_Retrieval-Augmented-Generation Public

    YouTube RAG (Retrieval-Augmented Generation) is a Python-based application that enables users to ask questions about a YouTube video using its transcript. The system extracts the transcript, conver…

    Jupyter Notebook