Abhishikth Devabhaktuni

Senior Machine Learning Ops Engineer at Geli
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Contact Information
us****@****om
(386) 825-5501
Location
Medford, Massachusetts, United States, US

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5.0

/5.0
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Neven Sumonja

Abhishikth, is exceptional in many aspects. He is a great team player, dedicated to making the job done, and at the same time constantly improving. Abhishikth consistently went above and beyond in his tasks, doing additional research to find ways to solve a problem.

Maja Bogosavac

Abhishikth is a fast learner and is very talented. He has shown dedication in every project we worked together. Someone who understands team work and would not mind putting in extra hours to meet the team target. Abhishikth is a great performer and it is a real pleasure to work with him.

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Credentials

  • Data Science and Machine Learning
    MIT Schwarzman College of Computing
    Aug, 2022
    - Nov, 2024
  • Masters Program (Master)
    Northeastern University
    Dec, 2020
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Senior Machine Learning Ops Engineer
      • Jan 2023 - Present

    • United States
    • Software Development
    • 300 - 400 Employee
    • Machine Learning Engineer
      • Dec 2021 - Dec 2022

    • United States
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist
      • Jan 2021 - Nov 2021

      •Built a Chatbot using NLP for the HR department, improving the employee onboarding experience. •Built a customer attrition Random forest model that improved monthly retention by 7% for customers who were likely to attrit by serving relevant product features. •Increased the conversion rate of website visitors by 60% by performing A/B testing. •Built a Chatbot using NLP for the HR department, improving the employee onboarding experience. •Built a customer attrition Random forest model that improved monthly retention by 7% for customers who were likely to attrit by serving relevant product features. •Increased the conversion rate of website visitors by 60% by performing A/B testing.

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Data Science Research Assistant
      • May 2019 - Dec 2019

      •Used Clustering techniques to estimate spatial coordinates of Gamma events from experimental and simulated data for research analysis. •Created a real-time image reconstruction program for experimental PET scanners with non-standard geometries. •Designed and created a complete photon simulation software using CUDA and NVIDIA OptiX, reducing simulation times from days to minutes. •Used Clustering techniques to estimate spatial coordinates of Gamma events from experimental and simulated data for research analysis. •Created a real-time image reconstruction program for experimental PET scanners with non-standard geometries. •Designed and created a complete photon simulation software using CUDA and NVIDIA OptiX, reducing simulation times from days to minutes.

    • India
    • Appliances, Electrical, and Electronics Manufacturing
    • 100 - 200 Employee
    • Data Scientist
      • Jan 2017 - Jul 2018

      •Designed and built an end-to-end Machine Learning models for sales forecast. •Increased customer interaction by 75% by creating a distributed Clustering model for customer segmentation. •Worked with the sales and marketing teams to identify which customer interactions during their maximize the likelihood of conversions resulting in a conversion rate increase of 14%. •Designed and built an end-to-end Machine Learning models for sales forecast. •Increased customer interaction by 75% by creating a distributed Clustering model for customer segmentation. •Worked with the sales and marketing teams to identify which customer interactions during their maximize the likelihood of conversions resulting in a conversion rate increase of 14%.

Education

  • Northeastern University
    Master of Science - MS, Data Analytics Engineering
    2018 - 2020
  • Amrita Vishwa Vidyapeetham
    Bachelor of Technology - BTech, Computer Science
    2013 - 2017

Community

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