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About me



  • 2020 - 2021
    Bluemind Solutions Private Limited

    Data Scientist

    • Researched Machine Learning, Natural Language Processing (NLP) and created a predictive model to analyze and solve data classification problems in the company.
    • Performed data mining by manipulating and drawing insights from large unstructured datasets.
    • Developed end-to-end Machine Learning prototypes and scaled them to run in production environments. Manual time-consuming tasks were decreased by at least 40%.
    • Designed and worked on state-of-the-art Machine Learning algorithms: BERT-Transformers and LSTM (Long
    short-term memory) networks, and RNN to build a data classification model.
    • Assessed and improved the model\’s performance by interpreting outputs using Shapley values, achieving an increased accuracy of 93%.
    • Built interactive streamlit dashboards and integrated it with model\’s training and validation pipelines.
    • Deployed and managed docker container-based applications on AWS elastic container service.

  • 2018 - 2018
    BSQ Saanvi & CP Technology

    Machine Learning Intern

    • Led and steered a team of 5 to develop Machine Learning model that could predict whether a person is diagnosed with diabetes or not based on specific diagnostic measurements given in dataset.
    • Constructed Machine Learning pipeline, which involved data cleaning, pre-processing, model selection, hyperparameter tuning, and prediction generation.
    • Predictive modelling algorithms includes Support Vector Machines, K-Nearest Neighbors, Random Forest, and ensemble methods like XGBoost and AdaBoost.


Machine learning
Deep learning
Statistical modelling and analysis
Data visualization
Natural language processing
Model deployment