Alok Grover

Data Science & Analytics at Celéri Health
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Contact Information
us****@****om
(386) 825-5501
Location
Wilmington, Delaware, United States, US
Languages
  • English -
  • Hindi -

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Eugene Yamnitsky, DrBA

We engaged Alok to work on a technology research project for Citrix as part of Duke MEMP Consulting Practicum in Fall 2016. The project involved Machine Learning, Natural Language Processing, and Data Mining algorithms. Alok worked in a team of 6 people to deliver the project successfully. He was instrumental to the project success as a lead POC developer for this project. It was a pleasure working with Alok and the team this semester and partnering on finding exciting ways to delight our customers leveraging cutting edge technology to improve their jobs.

Elliott Koppel

Among a very large group of Red Hat interns, Alok stood out as one of the best and brightest. Alok created a data model that will be the foundation for product quality data models in the future. His model was quite accurate in its ability to predict product quality based on specific key factors. More importantly, Alok commands stakeholders' attention when presenting his findings and this was key in receiving the buy-in necessary for making his model a success. I highly recommend Alok and hope we have an opportunity to work together soon.

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Experience

    • United States
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Data Science & Analytics
      • Jun 2021 - Present

      Built out the reporting infrastructure and dashboard from the ground up using Tableau, Looker, and SQL to provide real-time insights into healthcare data, and clinical study KPI’s |Data Analysis • Worked with internal stakeholders to understand business objectives and translating those requirements into actionable reports using Excel, Tableau, saving 40 hours of manual work per week |Data Analysis Built out the reporting infrastructure and dashboard from the ground up using Tableau, Looker, and SQL to provide real-time insights into healthcare data, and clinical study KPI’s |Data Analysis • Worked with internal stakeholders to understand business objectives and translating those requirements into actionable reports using Excel, Tableau, saving 40 hours of manual work per week |Data Analysis

    • United States
    • Environmental Services
    • 1 - 100 Employee
    • Principal (Data Science & Data Analytics)
      • Aug 2018 - Jun 2021

      • Created a patent pending retrofittable wireless transmission technology to scale current free space optics systems to 100Gbps while ensuring link reliability of 99.999% | Inventor • Performed quantitative analysis for clean energy production initiative to drive adoption of zero-emissions fossil-fuel power plant and renewables; resulted in mutually agreed upon language for Memorandum of Understanding with Lithuania’s Energy Minister | Business Development • Developed an algorithm to determine associations between orphan unidentifiable segments of financial transaction data using Natural Language Processing, and statistical techniques like Cosine Similarity; included in litigation strategy by attorneys | Natural Language Processing • Built a remote monitoring system for a wireless transmission system to collect, analyze, and perform on-the-spot error resolution resulting in a 7% increase in up-time | Data Engineering Show less

  • Duke Energy Corporation
    • Charlotte, North Carolina Area
    • Jr. Data Scientist
      • Dec 2017 - Jun 2018

      • Assisted security surveillance services by developing a faster- recurrent neural network algorithm using Tensorflow Object Detection API capable of detecting 90 different classes such as person, animals, etc. in real time along with timestamp of detection to facilitate easy situation analysis | Deep Learning • Suggested advertisement placement position for dynamic pricing by developing artificial intelligence driven marketing solutions incorporating Demographic Detection, Emotion Detection using Haar cascade classifier, and Eye Tracking | Deep Learning • Developed infrastructure to deploy neural network based algorithms on mobile computing devices, provide over the-air updates, and remote status monitoring | Production Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Analyst
      • Aug 2017 - Oct 2017

      • Developed a model to understand the behavioral differences between high, and low engaged employees using weekly check-in, and engagement surveys | Data Analysis • Built customized, interactive, dynamic, and effective visualization dashboards using Excel and Tableau to present HR data | Visualization • Developed a model to understand the behavioral differences between high, and low engaged employees using weekly check-in, and engagement surveys | Data Analysis • Built customized, interactive, dynamic, and effective visualization dashboards using Excel and Tableau to present HR data | Visualization

  • Tiba Health
    • Raleigh-Durham, North Carolina Area
    • Data Analyst
      • Mar 2017 - Jul 2017

      • Developed a wireless motion tracking device for assisting injured patients in rehabilitation process that provides instant feedback for exercise movement error correction | Prototype Design & Development • Developed algorithms for determining exercise correctness and detecting compensation mechanism in real time using sensor data with 98.24% accuracy | Signal Processing • Scaled the application for real time analytics by setting up the environment in AWS DynamoDB, and creating an interactive visual interface using Shiny | Visualization Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Scientist Intern (Duke Practicum)
      • Aug 2016 - Dec 2016

      • Developed a content classification model used by Citrix ShareFile to classify documents based on content using a Multinomial Naïve Bayes classifier having a F-score of 0.91 • Facilitated and conducted requirements gathering meetings and interviews that resulted in clear, concise documents for both technical and non-technical users and are appropriate to their needs • Developed a content classification model used by Citrix ShareFile to classify documents based on content using a Multinomial Naïve Bayes classifier having a F-score of 0.91 • Facilitated and conducted requirements gathering meetings and interviews that resulted in clear, concise documents for both technical and non-technical users and are appropriate to their needs

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Scientist Intern
      • May 2016 - Aug 2016

      • Created Product Quality Index (PQI) that indicates comprehensive health of software product in real time by predicting the number of bugs reported by customers post-launch • Developed a software defect Prediction Model using Poisson regression that yielded an average accuracy of 93% in determining the appropriate time to launch product releases; used by Product team in making trade-offs between time-to-market and product quality • Helped improve conversion rate by building a product recommendation engine based on collaborative filtering using R for the sales team • Created SQL scripts to gather data from the database for further data analysis, conducted data quality checks and data cleanup tasks to insure accurate data processing and quality data submissions. Show less

    • India
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Analyst Intern
      • Jun 2015 - Jul 2015

      Default Score Card • Built a scorecard using R to help a Non-Banking Financial Company (NBFC) identify high propensity customers which was further used to develop a Credit Risk Scoring Engine for Loan Applicants Sentiment Analysis in R • Improved drop-off rate from 96% to 92% by identifying and resolving key problem areas in the Customer Support Department of an online business travel aggregator by performing sentiment analysis using R Default Score Card • Built a scorecard using R to help a Non-Banking Financial Company (NBFC) identify high propensity customers which was further used to develop a Credit Risk Scoring Engine for Loan Applicants Sentiment Analysis in R • Improved drop-off rate from 96% to 92% by identifying and resolving key problem areas in the Customer Support Department of an online business travel aggregator by performing sentiment analysis using R

  • Saarthak Refrigeration
    • New Delhi Area, India
    • Assistant Project Manager
      • Mar 2014 - May 2015

      • Increased visibility of the existing refrigeration equipment through exhibitions in tradeshows leading to 1.5% increase in market share in 1 year • Managed project life-cycle including project scoping, budget planning, execution, delivery, and all client communication (including delivering presentations remotely and at client site) • Increased visibility of the existing refrigeration equipment through exhibitions in tradeshows leading to 1.5% increase in market share in 1 year • Managed project life-cycle including project scoping, budget planning, execution, delivery, and all client communication (including delivering presentations remotely and at client site)

    • India
    • Legal Services
    • 700 & Above Employee
    • Patent Analyst
      • May 2012 - Aug 2013

      • Consulted global clients, including green technology sector German firms and leading global software service providers, for drafting patents for inventions as per legal terms • Increased revenue from the green technology and wind turbine sector by 35% in a year by leading client relationship management and advising clients on which patents to file • Consulted global clients, including green technology sector German firms and leading global software service providers, for drafting patents for inventions as per legal terms • Increased revenue from the green technology and wind turbine sector by 35% in a year by leading client relationship management and advising clients on which patents to file

    • India
    • Motor Vehicle Manufacturing
    • 700 & Above Employee
    • Marketing Analyst
      • Nov 2011 - Apr 2012

      • Reduced direct marketing costs by 60% by identifying target market through segmentation and discriminant analysis; devised effective direct marketing plan with 80% coverage of this target market • Improved sales conversion by 12% across 4 dealerships by managing relationship with consumers, as well as, motorbike dealers, and leveraging subject matter expertise to resolve product-related queries • Reduced direct marketing costs by 60% by identifying target market through segmentation and discriminant analysis; devised effective direct marketing plan with 80% coverage of this target market • Improved sales conversion by 12% across 4 dealerships by managing relationship with consumers, as well as, motorbike dealers, and leveraging subject matter expertise to resolve product-related queries

Education

  • Duke University
    Master of Engineering Management, Data Science
    2015 - 2016
  • Institute of Technology and Management
    Bachelor's degree, Mechanical Engineering
    2007 - 2011

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