Akshay Bhatia

Akshay Bhatia Email and Phone Number

Data Scientist at Dell Technologies | MS EECS @ University of California, Merced ‘23 | Previously Research Scientist @ Knorex @ Dell Technologies
Akshay Bhatia's Location
San Francisco, California, United States, United States
About Akshay Bhatia

Akshay Bhatia is a Data Scientist at Dell Technologies | MS EECS @ University of California, Merced ‘23 | Previously Research Scientist @ Knorex at Dell Technologies. He possess expertise in machine learning, neural networks, deep learning, python, sklearn and 27 more skills. He is proficient in English.

Akshay Bhatia's Current Company Details
Dell Technologies

Dell Technologies

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Data Scientist at Dell Technologies | MS EECS @ University of California, Merced ‘23 | Previously Research Scientist @ Knorex
Akshay Bhatia Work Experience Details
  • Dell Technologies
    Data Scientist
    Dell Technologies Jul 2023 - Present
    Round Rock, Texas, Us
  • University Of California, Merced
    Graduate Student Researcher
    University Of California, Merced Aug 2022 - Jan 2023
    Merced, California, Us
    Working as a Graduate Student Researcher in the Robotics Lab - https://robotics.ucmerced.edu/
  • Dell Technologies
    Data Scientist Intern
    Dell Technologies May 2022 - Aug 2022
    Round Rock, Texas, Us
  • University Of California, Merced
    Graduate Teaching Assistant
    University Of California, Merced Jan 2022 - May 2022
    Merced, California, Us
    Graduate Teaching Assistant CSE 005 - Computer Applications, Spring 2022
  • University Of California, Merced
    Graduate Teaching Assistant
    University Of California, Merced Aug 2021 - Jan 2022
    Merced, California, Us
    Graduate Teaching Assistant CSE 030 - Computer Organization, Fall 2021
  • University Of California, Merced
    Graduate Teaching Assistant
    University Of California, Merced Aug 2021 - Jan 2022
    Merced, California, Us
    Graduate Teaching Assistant CSE 120 - Software Engineering, Fall 2021
  • Knorex
    Research Scientist I - Nlp
    Knorex Apr 2021 - Jul 2021
    Sunnyvale, California, Us
  • Knorex
    Associate Research Scientist - Nlp
    Knorex Apr 2019 - Apr 2021
    Sunnyvale, California, Us
    • Worked on training and evaluating text classification and generation models for Knorex KAIROS’s Brand Safety and Contextual targeting offerings. Improved overall CTR on an average advertising campaign by 12%.• Responsible for the end-to-end development cycle of Sentinel, an Active Learning platform to build text classifiers without any labeled data. A working manuscript is available below.• Applied Transformer models with guided decoding for the task of automatically generating high-quality advertising slogans for Dynamic creative optimization, surpassing previous benchmark results by 33%.• Supported several production ad-hoc features such as Keyword Extraction and Search Similarity for User-Defined Custom Segments for Contextual Targeting.
  • Camp K-12
    Machine Learning Developer Intern
    Camp K-12 Jun 2018 - Jan 2019
    New Delhi , New Delhi, In
    • Implemented a real-time object detection and on-device scene classification model for K12 language learning Lingolens. Trained a custom YOLO model to detect ∼150 objects with an mAP of 67%.• Subsequently optimized the on-device detection and classification inference speeds by 19% with only 6% performance degradation compared to SoTA methods such as RetinaNet and SSD.• Devised embedding and attribute-aware similarity models for the automatic question tagger system for the peer-to-peer question answering forum for the CampK12’s Generation Blockchain 2018 Summit.• Explored the domain of Machine-assisted Assignment Grading and experimented with applying variations of neural language models and other embedding techniques to the task of Automatic Essay Scoring.
  • Spikeway Technologies
    Machine Learning/Ai Intern
    Spikeway Technologies May 2017 - Jul 2017
    Noida, Uttar Pradesh, In
    • Led a 3 member team for the development and deployment of an ML-based Book Genre Classification system to classify books into their genres, based entirely on their title, without knowledge of author and origin.• Extended trained models through containers and pods in production and directly collaborated with the backend team on the prototype of a News Article Authorship Plagiarism Checker.
  • Internshala
    Internshala Student Partner
    Internshala Aug 2015 - Jan 2016
    Gurugram, Haryana, In
    Core Responsibilities were : • Hosted activities and workshops to inculcate internship culture in college premises.• Promoted Internshala brand, products & services in my college campus.

Akshay Bhatia Skills

Machine Learning Neural Networks Deep Learning Python Sklearn Numpy Pandas C++ Java Statistical Modeling Android Development Javase Artificial Intelligence Css Mysql Linux Server Mongodb Bluej Sqlite Tensorflow Support Vector Machine C Html5 Jquery Java Applets Heroku Android Sdk Web Development Node.js Tflearn Computer Vision Natural Language Processing

Akshay Bhatia Education Details

  • University Of California, Merced
    University Of California, Merced
    Electrical Engineering And Computer Science
  • Jaypee University Of Information Technology
    Jaypee University Of Information Technology
    Electronics And Communications Engineering
  • Green Fields School
    Green Fields School
    High School
  • Udacity
    Udacity
    Machine Learning
  • Udacity
    Udacity
    Machine Learning

Frequently Asked Questions about Akshay Bhatia

What company does Akshay Bhatia work for?

Akshay Bhatia works for Dell Technologies

What is Akshay Bhatia's role at the current company?

Akshay Bhatia's current role is Data Scientist at Dell Technologies | MS EECS @ University of California, Merced ‘23 | Previously Research Scientist @ Knorex.

What schools did Akshay Bhatia attend?

Akshay Bhatia attended University Of California, Merced, Jaypee University Of Information Technology, Green Fields School, Udacity, Udacity.

What skills is Akshay Bhatia known for?

Akshay Bhatia has skills like Machine Learning, Neural Networks, Deep Learning, Python, Sklearn, Numpy, Pandas, C++, Java, Statistical Modeling, Android Development, Javase.

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