A dedicated business technology professional with ~6 years’ experience in delivering end to end technology solutions, managing project operations and handling client communication.
My role in various organizations has had to focuses on end-to-end (requirement gathering, design, build, test, deploy, on-going support, enhancements.) timeline, project, and scope management. I often provide design and code feedback based on my experience in the solution-space, and with our primary client's systems and needs.
My role is best defined as ground level program management, but some examples of duties include:
An application that uses web camera to detect whether people have worn a face mask or not. Application is built by training a custom deep learning model built using Python's libraries like OpenCV, Keras & TensorFlow and computer vision technologies MobileNetV2 and Caffe Model.
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Explore Spotify’s song data to get current trend and predict popularity of songs. Project employed various libraries of Python like pandas, matplotlib, numpy to read given data, visualize, plot the trends in the data. Further, to predict the popularity of songs, we imported sklearn libraries for Data Modelling & Normalization, Linear model, Lasso, XGBRegressor and KNN to build models.
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Our system effectively addresses the goal of automated 4th-tier classification. Categories are generated based on the currently available ads and assigned to new posts automatically, making it easier for buyers to find their desired product without impacting advertiser’s experience in generating an ad or requiring additional manual labor on behalf of Craigslist’s advertisers nor staff.
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Correctly classifying ads into appropriate categories on Craigslist, using text mining, text manipulation and Natural Language Processing.
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Predict player performance for the 2019-20 season, and recommend trades based on player positions, performance and user-entered budget cap.
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A portfolio management dashboard built on RShiny for visualization, prediction and optimization of investor portfolios.
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Predict whether a firm goes bankrupt in the upcoming year based on historical data for 5 years, using ensemble modeling.
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