Work Experience

  • Data Scientist - MiQ Digital, Bangalore | August 2017 - July 2018

Worked with the R&D team towards implementing Multi-Arm Bandit based models for solving the problems of bid scaling and impression recommendation in the digital advertising domain.

Researched on the problem of feature selection on a data-set of Sparse Vectors. Developed and implemented feature selection techniques for customer conversion data in digital advertising domain with an aim to identify a certain specific set of features for various campaigns that can be leveraged for better consumer targeting and also save a lot of resources on data-storage while make the prediction platforms run faster. Learned and implemented various algorithms based on Filter and Wrapper Methods like Anova, Fisher Score, Mutual Information, Bayes Error, Kullback–Leibler divergence, Chi-square, etc. Deployed the systems for test on Tera-bytes of data and optimized performance.

  • Student Mentor - Self Driving Car Engineer Nanodegree - Udacity | January 2017 - present
    • Assisting students towards completing their Nano-degree by teaching them good coding practices, troubleshooting errors, assisting in the course projects and guiding them with the concepts taught in the lessons. Course topics include Deep Learning, Robotics, Computer Vision, Sensor Fusion, Localization, Robotics and more.
  • Code Reviewer - Self Driving Car Engineer Nanodegree - Udacity | May 2017 - present
    • As a Udacity Project Reviewer, I review student project submissions, striving to give actionable and helpful feedback. The areas in which I provide project reviews include Computer Vision and Deep Learning with Python and Tensorflow, Robotics with ROS, Sensor Fusion and Localization, etc.
  • Associate Staff Engineer (Big Data, Machine Learning) - Oracle, Bangalore | July 2015 - July 2017
    • Involved in developing and providing advanced analytic capabilities for existing Oracle products. Worked with the Oracle Communications Cloud Analytics Platform team and developed various predictive models for the purposes of Customer Churn Prediction, Customer Segmentation and integrated end-to-end data pipelines. Gained knowledge of the recent technological developments in Big Data domain like MapReduce, Spark, Kafka, etc. Development using Java, Scala and Spring framework.
  • Software Intern - National Instruments R&D, Bangalore | July 2014 - December 2014
    • Development of tool-kits for migration to RFmx. NI-RFmx interoperable toolkits offer simple access to the most advanced optimization techniques such as multiple measurement parallelism and high-dynamic-range noise correction. This resulted in extremely fast and high-quality measurements with minimal software development effort. Development using LabVIEW, C# and Python.
  • Summer Intern - Servomax India, Hyderbad | May 2013 – July 2013
    • Performed a study of the methods of mitigation of harmonics in electrical equipment and supply lines. Researched about the basics of electricity transmissions systems and the industry practices for mitigating the losses. Also researched about the latest trends and development in the area. The theoretical knowledge was reinforced through hands-on practical work with the R&D team.