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shakeel-data/README.md

Hi there, I'm Shakeel Ahamed K

Data Analytics & Digital Business Professional
Bridging Commercial Operations and Technical AI Data Engines

LinkedIn Gmail Portfolio

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🚀 About Me

I am an analytical, detail-oriented professional combining a solid foundation in business data analytics (B.Com, May 2024 | MBA Business Data Analytics Student) with hands-on technical execution across database integration, automated workflows, and operational tracking pipelines.

My primary focus is eliminating friction in business environments—whether that involves troubleshooting high-volume transactional account data anomalies, restructuring reporting systems inside Microsoft Excel and Power BI, or deploying custom full-stack web architectures integrated with enterprise AI models and external Meta APIs to optimize digital business conversion channels. I design systems to be clean, responsive, and deeply optimized for actionable corporate decision-making.

⚙️ Fully Integrated Tech Stack

Advanced Excel Power BI Power Query Tableau Google Workspace
Python Pandas NumPy scikit-learn TensorFlow
Supabase Backend Next.js Development Meta/WhatsApp Business APIs Google Gemini API Jupyter Notebooks

💼 Professional Experience

Independent Digital Solutions Developer & Contractor

Freelance / Technical Contract Execution | Mar 2025 – Present

  • Full-Stack Application Delivery: Architect and deploy scalable commercial web applications using Next.js and Tailwind CSS integrated with robust Supabase backend databases for local enterprise clients.
  • Workflow Automation & Systems Integration: Engineered real-time communication modules connecting frontend interfaces directly to the automated Meta/WhatsApp Business API notification triggers, increasing user engagement and operational tracking capabilities.
  • Advanced Analytics & AI Enablement: Built customized data validation models in Python and configured multi-format reporting pipelines leveraging AI-augmented productivity solutions to increase cumulative analytics efficiency metrics by 40% for professional cohorts.

AR Process Executive

Omega Healthcare Management Services | Sep 2024 – Mar 2025

  • Operational Data Integrity: Investigated and resolved high-volume transactional account data discrepancies across internal custom CRM portals, maintaining strict 100% data compliance and error-free insurance coverage verification boundaries.
  • Systemic Issue Resolution: Structured daily operational verification logs inside Microsoft Excel and built data-cleansing templates, reducing internal pipeline reporting inconsistencies by 25% via rigorous data validation routines and critical troubleshooting strategies.

Corporate Logistics Analyst Intern

Chennai Port Authority | Academic Internship | Jan 2024 – Feb 2024

  • Operational Tracking Analysis: Audited cargo data trends and port logistics workflows, evaluating shipment parameters and departmental throughput metrics for 100+ daily freight entries.
  • Financial Compliance Structuring: Supported departmental financial documentation and statutory accounting processes across 3 major administrative units, verifying import/export paperwork compliance rules against customs boundaries for 50+ weekly operational runs.

📊 High-Impact Data & AI Projects

Project Core Stack Technologies
AI-Powered Sentiment Analysis on Google Product Launch Python, TensorFlow, Gemini API, YouTube API, Natural Language Processing
Customer Segmentation & Market Clustering Framework Python, Scikit-learn, KMeans, Principal Component Analysis (PCA), Jupyter Notebook
Sales Insights & Business Performance Data Pipeline Microsoft Excel (Advanced), Power Query Data Transformation, KPI Metric Dashboards

📜 Verified Professional Certifications

Google Google AI Essentials Certificate

IBM IBM Machine Learning Professional Certificate

Meta Meta Database Engineer Professional Certificate

Microsoft Microsoft Power BI Data Analyst Professional Certificate

AI for techies Python using AI Certificate

📈 GitHub System Analytics

GitHub Stats Top Languages

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  1. genai-autonomous-data-agent genai-autonomous-data-agent Public

    Autonomous Data Agent that cleans, analyzes, and models datasets using Python, RAPIDS, PyTorch, TensorFlow, XGBoost, LightGBM, CatBoost, SHAP/LIME, NeMo, and Streamlit, delivering GPU-accelerated, …

    Python

  2. 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 1

  3. 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

  4. 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

  5. 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. …

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  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 1