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Open to work - ML Engineer
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Open to work - ML Engineer

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  1. Cancer-Detection-as-a-Microservice Cancer-Detection-as-a-Microservice Public

    Trained a Voting Classifier to predict cancer type with the Wisconsin Breast Cancer Dataset. Hosted the model as a Flask-based microservice running within a Docker container.

    Python

  2. Interpretable-Parking-Ticket-Location-Classifier Interpretable-Parking-Ticket-Location-Classifier Public

    Built a SparkML RandomForest classifier to predict police-precinct of ticketed vehicles in NYC parking-ticket dataset. Used Spark Streaming and PySpark for parallel computation. Achieved 98% accura…

    Jupyter Notebook

  3. getPaid getPaid Public

    Created a SparkML RandomForest model to predict total employee compensation. Queried data with SparkSQL, ran PySpark scripts to run EDA, pre-process data, and train model achieving with 0.98 R2 score.

    HTML

  4. Product-Shipping-Status-Classifier Product-Shipping-Status-Classifier Public

    Created a RandomForest model to predict issues in the product supplychain which might delay product shipment to customers. Employed PCA and LDA optimization for visualization and dimension reductio…

    Jupyter Notebook

  5. CarPricePrediction_LinearRegression CarPricePrediction_LinearRegression Public

    A used car price prediction model using Linear Regression

    Jupyter Notebook

  6. TitanicPrediction_MLFlow TitanicPrediction_MLFlow Public

    Creating different models to predict survival with Titanic dataset and tracking the experiments with MLFlow

    Jupyter Notebook