Rohit Bhiogade

Experience

• 

  Dell Technologies

  Jan 2013 - Jan 2014

  Software Development Engineer

  Member of Linux OS Engineering team at Dell R&D

• 

  Tiger Analytics

  Jan 2014 - Jan 2018

  - Built object detection and segmentation deep network models for oil services and construction industry -> faster-rcnn, mask-rcnn, yolo - Image de-noising using deep nets(dense FCNs, autoencoder, GAN) and computer vision techniques. - Model ensembling by combining various object detection models. - Response modeling for underwriting questions - Built Demand prediction models for various snack sub-brands for a major F&B corporation. Performed trade spend re-allocation optimization to identify additional opportunity ($10 MM). Show less - Built Win probability prediction models to be used for Real time bidding (RTB) for an advertising network. o Devised strategy allocation methods to improve win-rate, reduce cost/win and maximize fairness(avoid starvation) o Explored 20+ numerical features and 100+ categorical features with >10K levels. Worked with ~1TB of data on a daily basis. o Used advanced feature engineering techniques like feature hashing and feature encoding to efficiently handle columns with huge number of categories. o Evaluated strategies using A/B testing- Scraped and processed Planograms (PDFs/Images) of all stores of a retailer. Image processing techniques are used to extract product placement and allocation details of a major Home appliances manufacturer.- Recognized common objects of interest from several images of home interior. Utilized deep-net models trained on COCO dataset to detect, caption multiple objects from the images.- Built models to detect anomalies in Distributed Temperature Sensing (DTS) data from oil wells for a major multinational energy corporation. o Classified abnormalities into multiple threat levels. o Worked closely with the development team to define data model for various stages of the platform and their interactions.- Built a predictive framework to identify emerging technologies by synthesizing publicly available information for a Fortune 100 technology conglomerate. o Processed open source projects hosted on GitHub. o Crawled a wide range of technology articles/blogs and processed it to provide insights on popular vs recent technologies. o The trends are visualized on an interactive web application.- Segmented consumers of a major mobile brand. Identified cohorts for upselling. Created tools to track KPIs of campaign performance for various channel. Show less

  • Lead Data Scientist

    Jan 2018 - Jan 2018

  • Senior Data Scientist

    Jan 2017 - Jan 2018

  • Data Scientist

    Jan 2014 - Jan 2017
• 

  American Express

  Jan 2018 - now

  • AI Research Scientist

    Jan 2020 - now

  • Research Engineer

    Jan 2018 - Jan 2020