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bISTP/README.md

Hi there, I'm bISTP 👋

LinkedIn Portfolio Email

I'm a Data Analyst with 3 years of experience, specializing in transforming complex data into actionable business intelligence. I build end-to-end data solutions, from engineering scalable ETL pipelines to developing interactive dashboards that empower data-driven decisions.

My passion lies in leveraging the modern data stack to solve challenging problems and create value from data.

🛠️ My Tech Stack & Tools

  • Languages & Databases:
    Python SQL PostgreSQL MySQL

  • BI, Visualization & Web Apps:
    Power BI Tableau Flask Streamlit

  • Data Processing & Orchestration:
    Apache Spark Apache Airflow dbt

  • Cloud & DevOps:
    Google Cloud Azure AWS Docker Ubuntu Git

🚀 My Featured Projects

Here are a couple of projects I'm proud of. Please feel free to explore!

Project Name Description Tech Stack Links
ETL Churn Analytics PowerBI An end-to-end analytics project identifying key drivers of customer churn. Features a full ETL process, a predictive ML model, and a comprehensive BI dashboard. SQL Python Scikit-learn Power BI 🔗 GitHub
📊 Live Dashboard
Unified Investment Portfolio Dashboard A fully automated data pipeline and Power BI dashboard to track a diversified investment portfolio (Stocks, MFs, Crypto). Aggregates data via APIs for daily updates. Python REST APIs Pandas Power BI Docker 🔗 GitHub
📊 Live Dashboard
Netflix Data Pipeline using DBT, Snowflake, and AWS S3 This is an end-to-end cloud-based data engineering and analytics project that demonstrates the modern ELT (Extract-Load-Transform) pipeline using popular cloud tools: Amazon S3 for data storage, Snowflake as the data warehouse, and DBT (Data Build Tool) for data transformation, testing, documentation, and orchestration. Python SQL AWS S3 dbt Snowfalke Jinja 🔗 GitHub
NYC Taxi Data Pipeline using DBT, Databricks, and GCS This project demonstrates the design and implementation of a modern, end-to-end data platform on the cloud. It ingests raw NYC Taxi trip data, transforms it using a robust analytics engineering workflow, models it according to the Medallion Architecture, and orchestrates the entire pipeline for production, making it ready for business intelligence and analysis. Python SQL GCS dbt Databricks Jinja 🔗 GitHub

You can also find some of my earlier work on analytics (mostly machine learning) projects/case studies in my other repositories listed below.

Project Name Description Tech Stack Links
Network Intrusion Detection System A Binary and Multi-Class Classification Problem solved with the help of many machine learning algorithms. Python NumPy Pandas Matplotlib Scikit-learn Keras 🔗 GitHub
Emotion Detection OpenCV Pytorch ResNet9 A ResNet9 architecture based model was trained on a Dataset containing 28000+ images spreaded across 7 different classes of emotions. And then the Model was used in a Real Time Application made using Tkinter. Python NumPy Pandas Seaborn Scikit-learn PyTorch 🔗 GitHub
Health Care Case Study Solving series of Business Problems related to Health Care Domain using Descriptive and Predictive Analysis. Python NumPy Pandas Matplotlib Scikit-learn XGBoost 🔗 GitHub
NLP Analyzing Online Job Postings Providing solutions to various Business Problems using Supervised and Unsupervised Learning on Text Data. Python Matplotlib Scikit-learn imblearn NLTK Keras 🔗 GitHub
Thyroid Disease Detection Predictive model that estimates a patient’s risk of thyroid dysfunction (hyperthyroidism or hypothyroidism) from clinical and laboratory features to support early detection. Python Matplotlib Scikit-learn Keras Flask CSS HTML 🔗 GitHub
Text Mining Bank Reviews Complaints Analysis Analyzing Bank Reviews using Supervised and Unsupervised Learning with the help of Natural Language Processing. Python NumPy Pandas Matplotlib Scikit-learn NLTK 🔗 GitHub
Segmentation of Credit Card Customers Performing Unsupervised Learning on a Credit Card Data to Segment Customers into different clusters using KMeans Clustering. Python NumPy Pandas Matplotlib Scikit-learn 🔗 GitHub
Walmart Store Sales Forecasting A regression based problem solved through sophisticated machine learning algorithms. Python NumPy Pandas Matplotlib Scikit-learn Keras 🔗 GitHub
Predicting Credit Card Spend Identifying Key Drivers A regression based problem solved via statistical modelling. Python Matplotlib Scikit-learn SciPy Statsmodels 🔗 GitHub
**** Python NumPy Pandas Matplotlib Scikit-learn Keras 🔗 GitHub

🌱 I'm Currently Learning & Building

I believe in continuous learning and am always excited to explore new technologies. My current focus is on:

  • Orchestrating production-grade data workflows with Apache Airflow.
  • Developing modular, testable data models with dbt.
  • Processing large-scale datasets with Apache Spark on Azure Databricks.
  • Containerizing applications with Docker for reproducible and scalable deployments.

📫 Let's Connect!

Connect with me on social media or check out my portfolio. I'm always open to new opportunities and collaborations.

LinkedIn Portfolio Email

Pinned Loading

  1. netflix-snowflake-dbt netflix-snowflake-dbt Public

    This is an end-to-end cloud-based data engineering and analytics project that demonstrates the modern ELT (Extract-Load-Transform) pipeline using popular cloud tools.

  2. nyc-taxi-databricks-dbt nyc-taxi-databricks-dbt Public

    This project demonstrates the design and implementation of a modern, end-to-end data platform on the cloud.

  3. ETL-Churn-Analytics-PowerBI ETL-Churn-Analytics-PowerBI Public

    An end-to-end analytics project that identifies key drivers of customer churn and predicts future churn using a multi-tool stack. This repository contains the SQL scripts for ETL, a Python notebook…

    Jupyter Notebook

  4. Unified-Investment-Portfolio-Dashboard Unified-Investment-Portfolio-Dashboard Public

    An end-to-end data analytics project that builds an automated data pipeline and a comprehensive Power BI dashboard to track and analyze a diversified Indian investment portfolio, including Stocks, …

    Python

  5. Network-Intrusion-Detection-System Network-Intrusion-Detection-System Public

    A Binary and Multi-Class Classification Problem solved with the help of many machine learning algorithms.

    Jupyter Notebook 1

  6. Thyroid-Disease-Detection Thyroid-Disease-Detection Public

    Predictive model that estimates a patient’s risk of thyroid dysfunction (hyperthyroidism or hypothyroidism) from clinical and laboratory features to support early detection.

    Jupyter Notebook 2