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adiag321/README.md

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Hi 👋, I'm Aditya Agarwal

A passionate "Data Science" Learner!!


About Me

  • I am a Data Scientist with over 4+ years of experience engineering scalable machine learning solutions, implementing robust MLOps architectures, and driving data strategy. I hold a Master's in Data Analytics Engineering from Northeastern University and specialize in the healthcare and health-marketing domains.

  • Currently at Blue Cross Blue Shield of North Carolina, I develop and deploy predictive models—including advanced member segmentation and engagement models. A key focus of my work is engineering ML solutions that accurately capture HCC and diagnostic codes, directly driving revenue growth.

  • I am deeply passionate about MLOps and process automation. My day-to-day involves productionalizing complex ML code, architecting automated end-to-end data loads, and transforming manual monthly reporting processes into automated, actionable insights for key stakeholders.

  • Beyond the keyboard, I am continuously expanding my expertise in cutting-edge AI technologies and advanced MLOps frameworks. When I step away from data, you can find me exploring nature or practicing yoga.

  • Let's connect to discuss scalable machine learning, data architecture, and how I can help drive your next data-driven initiative.

linkedin github Kaggle Medium

Languages and Tools

Python Snowflake PostgreSQL scikit-learn Keras PyTorch FastAPI Docker GitHub Actions MLflow Evidently AI MySQL Feast Kubernetes DVC Apache Airflow Flask AWS Google Cloud Azure SQLite Oracle Pandas Jupyter Tableau Git NumPy PowerBI R GitHub SciPy Kaggle Matplotlib Apache Spark Anaconda Plotly

My GitHub Summary

adiag321

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  1. Data-Science-CheatSheets-and-Resources Data-Science-CheatSheets-and-Resources Public

    Curated resources to learn Data Science, including SQL, Python, Machine Learning, MLOps, and more. Features playlists, case studies, and guides to help you master core concepts and algorithms.

    41 8

  2. Machine-Learning-Algorithms Machine-Learning-Algorithms Public

    In this repository, I have curated all the materials I used to study Machine learning Algorithms.

    HTML 19 7

  3. SQL-Practice-Questions SQL-Practice-Questions Public

    🧠 A collection of SQL practice question solutions from platforms like LeetCode, HackerRank, StrataScratch, DataLemur, Interview Query, and more

    Jupyter Notebook 1

  4. CRM-Analysis-for-Marketing-data CRM-Analysis-for-Marketing-data Public

    In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign

    Jupyter Notebook 15 6

  5. Medical-Insurance-Cost-Prediction Medical-Insurance-Cost-Prediction Public

    A Project to analyze and predict the cost of Medical costs of patients and evaluate the model using various Performance Metrics.

    Jupyter Notebook 27 10

  6. Data-Science-Mini-Projects Data-Science-Mini-Projects Public

    Python