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shakeel-data/README.md

Hi there, I'm Shakeel Ahamed

A Data Scientist and Business Analyst passionate about transforming data into actionable insights and scalable solutions.

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πŸš€ About Me

As a Power BI Trainer and an MBA candidate in Business Data Analytics, I thrive at the intersection of data, business, and technology. My focus is on building hands-on, project-based solutions that not only solve complex problems but also empower others to become more data-literate. I am driven by a passion for continuous learning and a commitment to leveraging AI and emerging technologies to drive innovation and impactful decision-making.


βš™οΈ Technical Skills

Python SQL Pandas NumPy scikit-learn PyTorch Prophet AWS Google Cloud Power BI Tableau Jupyter Visual Studio Code


πŸ“Š Top Data & AI Projects

Project Key Technologies
πŸ’¬ YouTube Comment Sentiment Analysis Gemini API, TensorFlow, YouTube Data v3 API, Hugging Face Transformers
πŸ“¦ Amazon Sales Forecasting BigQuery, Python, LightGBM, Prophet, Linear Regression, KMeans
πŸ›’οΈ AWS Data Streaming Pipeline Amazon RDS, S3, MSK, Apache Kafka, Debezium, EC2
πŸŽ— Breast Cancer Prediction Neural Networks, PyTorch
πŸ“‰ Customer Churn Prediction Dashboard SQL Server, Random Forest, Power BI

πŸ’Ό Professional Experience

Power BI Trainer (Freelance) @ Don Bosco Valikhatti Tech Mahindra Foundation, Chennai | Mar 2025 – Present

  • Designed and delivered a hands-on Power BI curriculum to 50+ students, covering data modeling, DAX, and advanced visualization.
  • Improved student data storytelling skills by over 60% through project-based learning and real-time business use cases.
  • Introduced cutting-edge AI tools (Google AI Studio, Gamma) to spark curiosity in AI-powered productivity.

AR Process Executive (Full-time) @ Omega Healthcare, Chennai | Sep 2024 – Mar 2025

  • Ensured HIPAA compliance and reduced data verification errors by 15% by validating insurance eligibility.
  • Streamlined prior authorization data pipelines, reducing processing delays by 20%.
  • Enhanced reporting accuracy by 25% through structured data validation in Excel.

πŸ“œ Certifications

Google Google AI Essentials

IBM IBM Machine Learning Professional

Meta Meta Database Engineer Professional

Microsoft Microsoft Power BI Data Analyst Professional


πŸŽ“ Education

Master of Business Administration (MBA), Business Data Analytics

  • University of Madras, Chennai, India | Expected Graduation: June 2026

πŸ“ˆ GitHub Activity

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  1. youtube-sentiment-analysis-tensorflow-gemini youtube-sentiment-analysis-tensorflow-gemini Public

    Analyzes YouTube comments using advanced AI to extract viewer sentiment and generate actionable insights. Combines YouTube Data API v3, Hugging Face Transformers, and Gemini AI to classify 500+ com…

    Jupyter Notebook

  2. amazon-sales-forecasting-python-bigquery-ml amazon-sales-forecasting-python-bigquery-ml Public

    An end-to-end analytics project using Python, SQL, & ML to forecast Amazon sales and segment customers. We build predictive models (LightGBM, Prophet) and clustering (KMeans) to deliver actionable …

    Jupyter Notebook

  3. AWS-data-streaming-pipeline AWS-data-streaming-pipeline Public

    Real-time data pipeline using Apache Kafka & AWS MSK. Streams CDC data from RDS to S3 via Kafka Connect. Ideal for mastering cloud-native big data integration

  4. breast-cancer-prediction-neural-network-pytorch breast-cancer-prediction-neural-network-pytorch Public

    This deep learning project for breast cancer detection using PyTorch. It performs exploratory data analysis to understand patterns and distributions, followed by preprocessing and feature scaling. …

    Python

  5. credit-card-fraud-detection-predictive-models credit-card-fraud-detection-predictive-models Public

    This supervised machine learning project uses European credit card transaction data (Sept 2013) to build fraud detection models. It explores the highly unbalanced PCA-transformed dataset and compar…

    Jupyter Notebook

  6. customer-churn-prediction-dashboard customer-churn-prediction-dashboard Public

    This project utilizes SQL for ETL, Power BI for data visualization, and Machine Learning (RandomForest) for predictive modeling. It provides insights into churn patterns, customer segmentation, and…

    Jupyter Notebook