Pravin Borate

Experience

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  Tata Consultancy Services

  Jun 2019 - Oct 2021

  System Engineer

  1. Worked with the ML team, for identifying and repairing actions for the list of SWIFT messages in the repair queue.2. Performed data collection, labelling the data, data cleaning, feature extraction, building effective machine learning models, and training the model.3. Experience in ML algorithms, text analytics, natural language preprocessing(NLP) in python.4. Automated reports for about 15 countries to get daily business insight by using SQL queries.5. Implemented Tables, Views, index, and stored procedures to develop and access the database in ORACLE.6. Build and implement a system to acquire data from various product processors. Show less

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  Medium

  Jan 2020 - Nov 2021

  Technical Author

  Please find the below articles and for more articles related to data science follow https://medium.com/@1pravin-borate :⭐ MLflow -Open Source Platform for machine learning life cycle: https://medium.com/towardsdev/mlflow-open-source-platform-for-machine-learning-life-cycle-af9e0723540⭐ Basic’s of Natural Language Processing : https://medium.com/@1pravin-borate/basics-of-natural-language-processing-94744be66239⭐ K-Nearest Neighbors for classification : https://medium.com/@1pravin-borate/k-nearest-neighbors-for-classification-666744d5bc47⭐ T-SNE Dimensionality Reduction : https://medium.com/@1pravin-borate/t-sne-dimensionality-reduction-5b554bba2077⭐ Principal Component Analysis (PCA) : https://medium.com/@1pravin-borate/principal-component-analysis-pca-efc978c8037d⭐ Imbalanced Data: How to handle In Classification Problems : https://medium.com/@1pravin-borate/imbalanced-data-how-to-handle-in-classification-problems-9c5a70508bd2 Show less

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  ZS

  Nov 2021 - now

  Advanced Data Science Associate

  Currently working in a US-based Client Project inclined toward Specialty Pharmacy. ★ Leveraged MMix modeling techniques to analyze and determine the impact of promotional channels, facilitating budget optimization across portfolios, and supporting buy-up decision-making processes. ★ Conducted statistical modeling for a client, successfully identifying the key drivers of various drugs and developing customer segmentations, acquisition strategies, and targeting approaches. ★ Led projects on Next Best Action suggestions, specifically focusing on optimal channel sequencing for effective promotions. This resulted in the development of an efficient promotional pipeline and increased sales for the client. ★ Extensive experience in feature engineering and modeling pipeline for Product Lifecycle Data (PLD), promotional channel data, and temporal data. ★ Developed a predictive model to identify patients with a higher likelihood of switching to a preferred product, enabling targeted and effective promotional messaging for maximum impact. Show less