Sravan Hande

Senior Data Engineer at Livesight
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Contact Information
us****@****om
(386) 825-5501
Location
Seattle, Washington, United States, US
Languages
  • English -
  • Telugu -
  • Hindi -
  • Kannada -

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Credentials

  • Deep Learning Specialization
    Coursera
    Jun, 2018
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    Coursera
    Jun, 2018
    - Nov, 2024
  • Sequence Models
    Coursera
    Jun, 2018
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera
    May, 2018
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    May, 2018
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    May, 2018
    - Nov, 2024
  • MongoDB M101
    MongoDB
    Sep, 2016
    - Nov, 2024

Experience

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Senior Data Engineer
      • Nov 2022 - Present

    • United States
    • Biotechnology Research
    • 700 & Above Employee
    • Data Science Intern
      • Jun 2022 - Sep 2022

      Interned with the Data Science - Advanced Analytics & Imaging team to diagnose Progressive Multiple Sclerosis and the implications of drugs on the condition, using computer vision and deep learning. – Evaluating and incorporating ML techniques for personalized health care in ophthalmic imaging. – Designed and developed a reusable machine learning pipeline to explore and draw insights from OCT modality retinal image datasets of about 10,000+ files with 50+ scan images in each (1TB Data). – Configured auto deployment with 100% test coverage to enable automated model updates for accurate visualizations. Show less

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Senior Data Engineer
      • Jul 2019 - Sep 2021

      • Global Revenue Analytics – Analyzing 50+ dimensional data for revenue leaks and dimension level classification.– Coordinated requirement gathering, design and development of analytics and reporting projects involving 10+ petabytes of data.– Devised and deployed a K Means clustering model with PCA to cluster similar performing clients and identify under-reporting banks,helping business to recover $8.5M in revenue for the latest quarter and a projected $40M for the past quarters.– Developed and productionized 4 data cube models and 10+ KPI dashboards for the executive team with a monthly SLA of 24 Hours.– Pioneered the dataflow from 8+ source systems across different network zones using Spark, DSeries, AtScale, and Tableau, achievinga response time of < 5 Secs for 95% of the queries from 3000+ business users.– Designed and executed product revenue forecasting model using SARIMA with 97% accuracy across product offerings.– Orchestrated multiple project releases through cross-team (platform, security, operations) collaboration with 0 rollbacks. Show less

    • Software Development Engineer
      • Jul 2017 - Jun 2019

      • VISA Online Invoice Processing – Billing and Invoice generation for 13000+ global VISA clients under 8 hours.– Built scalable REST APIs to incrementally migrate 6 legacy systems to one, in turn, slashed invoice generation time by 80%. – Initiated and automated invoice migration and validation, enhancing coverage to 100% and cutting down 90% manual effort. – Drove VISA event management app from conceptualization to launch in under 1 week, recording 85% employee engagement.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Software Development Intern
      • May 2016 - Jul 2016

      Enabled real-time application monitoring and instant error resolution, reducing incidents by 30% and facilitating feature prioritization. Enabled real-time application monitoring and instant error resolution, reducing incidents by 30% and facilitating feature prioritization.

  • RepuFact
    • Bangalore
    • Software Consultant
      • Jan 2016 - May 2016

      • Designed and developed a Doc2Vec with Decision Trees model for sentiment classification of hotel reviews improving accuracy by 32%. • Designed and developed a Doc2Vec with Decision Trees model for sentiment classification of hotel reviews improving accuracy by 32%.

Education

  • University of Washington
    Master of Science - MS, Data Science
    2021 - 2023
  • R. V. College of Engineering, Bangalore
    Bachelor of Engineering - BE, Information Science
    2013 - 2017

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