Swati Adhikarla

Product and Machine learning at Eventual
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Contact Information
Location
Seattle, Washington, United States, US
Languages
  • English Full professional proficiency
  • Hindi Full professional proficiency
  • Telugu Limited working proficiency

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Bio

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Jonathan Peña

Swati has a unique talent for understanding and applying complex statistical and technical concepts to solve incredibly valuable problems. She has a singular, determined focus to invent on behalf of customers; working backwards to design her solutions. She is not easily deterred by roadblocks, doubters, or even leaders who may not "get it" the first time. In this way, Swati is a true leader and I respect her greatly. She has my highest endorsement.

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Credentials

  • SAS Certified Advanced Programmer for SAS 9 credentials
    SAS
    Jan, 2015
    - Sep, 2024
  • SAS Certified Base Programmer for SAS 9 Credential
    SAS
    Nov, 2014
    - Sep, 2024
  • CCNA
    Cisco

Experience

    • Belgium
    • Events Services
    • 1 - 100 Employee
    • Product and Machine learning
      • Aug 2022 - Present

      Building AI that helps enterprise with just writing their uses cases and deploying the services to cloud Building AI that helps enterprise with just writing their uses cases and deploying the services to cloud

    • Bangladesh
    • Advertising Services
    • 1 - 100 Employee
    • Machine learning Scientist
      • Nov 2016 - Oct 2020
    • Travel Arrangements
    • 1 - 100 Employee
    • Quantitative Analyst
      • Jul 2015 - Nov 2016
    • Research Assistant
      • Feb 2015 - May 2015

      Working on estimating product assortment and optimizing for the optimum number of assortments. Also, working on different methodologies of store clustering algorithms Working on estimating product assortment and optimizing for the optimum number of assortments. Also, working on different methodologies of store clustering algorithms

    • United States
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Aug 2014 - May 2015

      My responsibilities include teaching Business Analytics to the final year undergrad students , the topics for which include Linear regression modelling, Logistic regression modelling, Linear optimization, basics of Game Theory. My responsibilities include teaching Business Analytics to the final year undergrad students , the topics for which include Linear regression modelling, Logistic regression modelling, Linear optimization, basics of Game Theory.

    • United Kingdom
    • Financial Services
    • 700 & Above Employee
    • Senior Credit Risk Analyst
      • Feb 2013 - Jul 2014
    • Senior Business Analyst
      • Aug 2011 - Feb 2013

      As a part of engagement with a Fortune 500 Pharma Giant - • Collaborated with the client management to build call planning of the sales reps for a block buster drug in retail pharma market • Strategizing the ways to gauge the overall market behavior of Retail and non-Retail markets in the Pharmaceutical industry • End to end delivery of tool/Report on Tableau which tracks the retail, non-retail and aggregation of above data for the product of client in comparison to other products based on which a medical representative will be paid incentives • Analyzed and created a reporting tool to gauge the prescription behavior of the physicians for a block buster drug in different markets that the drug caters to • Conducted inquisitive study of the patient engagement levels and web presence on the client’s website • Led a team of four analysts for multiple ad-hoc projects involving time-series forecasting and clustering, executing business reports and other inquisitive and descriptive analysis As a part of engagement with a Fortune 500 Retailer – • Browsing Choice Model using click stream data for predicting browsing patterns of buyer vs non-buyer using Markov switching model • Segmented the customers based on their levels of engagement in web to help client take crucial decision of revamping their mobile app • Worked on Customer life time value (CLTV) for one of the products of the client’s niche market • Churn analysis and Acquisition analysis for the Multiple site retail chain. As part of other engagements - • Trained and co-mentored new recruits in the execution of a dummy project to understand the end-to-end analytics project flow • As Part of various projects and adhoc-analysis projects used various statistical techniques that involved - linear regression, logistic regression, marketing mix modeling and time series forecasting (ARIMA), LDA, PCA, CART, General Additive Models Show less

Education

  • University of Cincinnati
    Master's Degree, Applied Mathematics
    2014 - 2015

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