Parthasarathy Sundar Karthikeyan

Senior Data Scientist at AmplifAI
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Contact Information
us****@****om
(386) 825-5501
Languages
  • English Full professional proficiency
  • Tamil Native or bilingual proficiency
  • French Elementary proficiency
  • Spanish Limited working proficiency
  • Hindi Limited working proficiency
  • Latin Elementary proficiency

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5.0

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Nishanthi S.

Partha is one of the smartest people I’ve ever come across in my life. I still remember the first day at college, the way he presented himself in front of the entire class, so confident and communicative. Partha is a diligent and a responsible student. He’s always a go getter and makes sure that he gets things done right on time. He always had a passion for IOT. He has also shared various interesting ideas and has an immense knowledge about cryptocurrency. With his myriad of skills and logical thinking, Partha will definitely be a primary asset to any future organization that he works for!

Anuraag Vikram

Parthasarathy is an extremely hard-working professional who always strives to achieve perfection in the tasks and assignments given to him. He always ensures quality of output and this quality of his will be an asset to any organisation he works in. I wish him the best in his endeavours

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Credentials

  • HackerRank SQL
    HackerRank
    Sep, 2020
    - Nov, 2024
  • AWS Data Analytics Fundamentals
    Amazon Web Services (AWS)
    May, 2020
    - Nov, 2024
  • Tableau 10 Essential Training
    LinkedIn
    Oct, 2019
    - Nov, 2024
  • NumPy Data Science Essential Training
    LinkedIn
    Sep, 2019
    - Nov, 2024
  • SQL Essential Training
    LinkedIn
    Sep, 2019
    - Nov, 2024
  • AWS Data Analytics Fundamentals
    Amazon Web Services (AWS)

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Senior Data Scientist
      • Aug 2020 - Present

      • Developed and deployed classification models to predict agent performance (inc./dec.) with 85-96% accuracy• Conducted A/B experiments to validate the accuracy of prescribed actions and monitor customer engagement• Employed graph database to understand the relationship between on-call telemetry data and agent performance

    • Data Scientist
      • Dec 2019 - Aug 2020

      Key Competencies: Azure ML, Azure Logic Apps, Knime, CosmosDB, Databricks, Product Development, Product Ownership• Constructed a series of ML based playbooks to optimize performance of front-line (customer facing) employees• Built an end-to-end rules engine workflow to segregate personnel into tiers based on performance metrics• Designed interact-able correlation plots in the front-end to compare client specific metrics• Based on the tier classification, provided insights on how to improve performance of personnel from Low to High tier• Created an employee retention model based on performance metrics and demographic data with 92% accuracy

    • Software Development
    • 1 - 100 Employee
    • Data Scientist
      • May 2019 - Aug 2019

      Analyzed and built models with dynamic, real-world data, built proofs of concept using Python, Microsoft SSMS, and Power BI. Pushed models to integration with production code and set up as virtual machines. KEY COMPETENCIES: MACHINE LEARNING, PYTHON, MS SQL SERVER, CROSS-PLATFORM INTEGRATION, PANDAS, COMPUTER SCIENCE, NLP Boosted overall product classification to 98.42% by automating process for classifying misclassified products • Extracted data into Python by using Microsoft SQL Server integration • Designed classification model implementing random forest classification and artificial neural networks • Injected classified product output back into SQL and updated production table Improved marketing and product targeting by building scalable NLP package including sentiment analysis • Cleaned and tokenized data for Term Frequency model resulting in 81% accuracy • Built simple neural net to account for sentence structure and semantics of reviews to add accuracy • Created various metrics including word cloud to optimize prediction probability for presentations Raised company awareness on social media by creating recommendation engine that boosted digital footprint (On-Going) • Scraped Twitter data with Tweepy and Twitter Developer API to obtain key trending points of interest • Devised sentiment score as positive or negative to analyze how each Tweet fared on social media • Modeled for words of importance for incorporation into posts with predicted click-through rate of 142%

    • India
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Lead System Engineer (Data Analyst)
      • 2015 - 2018

      Directed a team of 7, requiring project allocation, understanding of client requirements, and ensuring error-free and timely deliverables. Converted company pilot project into retainer. KEY COMPETENCIES: PROOF OF CONCEPT, MODELING, DATA INSIGHT, BRAINSTORMING, CLIENT RETENTION, DATA ANALYTICS, LEADERSHIP Enhanced safety of staff commuting to work through use of innovative emergency healthcare application • Analyzed regional traffic and accident data to build use case for TCS staff internal use • Modeled to identify and measure contribution of various drivers toward increase in accidents • Developed mobile app widget using Google’s geo-location API to broadcast to area police and hospitals Expanded sales, retained client, and won award for product that raised customer engagement and purchasing • Studied retail apparel firm’s sales data for patterns and built Tableau dashboard to analyze trends • Collaborated to target customer procurement using interactive game with checkpoints in store • Generated augmented reality game which raised customer engagement an estimated 14% Accelerated potential customer walk-in rate by 32% using Novia, an IoT integrated notification system • Performed descriptive analysis of sales and survey data and modeled for phone use while browsing mall • Devised iBeacon integrated app to send push notifications of offers to users within 100 yards • Noted walk-in increases and predicted 32% rise in potential customers through use of this strategy

  • S & D Connexions
    • Chennai Area, India
    • Data and Decision Scientist Intern
      • Dec 2016 - Jan 2017

      Analyzed customer data to create targeting and positioning strategies. Devised marketing model for increased sales. Studied purchasing behavior to identify upsell opportunities for product placement. Worked internship into schedule along with full time job. KEY COMPETENCIES: MARKETING ANALYSIS, R, TARGETING, CUSTOMER INSIGHT, DATA ANALYTICS, TESTING, SALES, DATA INSIGHT Maximized retention of customers through analysis of customer data for targeting and positioning strategies • Classified customers into 4 tiered clusters based on sales and loyalty data • Implemented incentive-based strategy to increase sales and retain customer in lower tiers Increased sales 23% by devising innovative marketing strategy targeting customer sales patterns • Examined customer and sales data to discover patterns in sales • Studied purchase behavior in retail store to find up-sell and product placement opportunities • Captured probability of selling 2 products together, used data for improved promotions and store layout

Education

  • The University of Texas at Dallas
    Master's degree, Business Analytics
    2018 - 2019
  • Anna University
    Bachelor's degree, Electrical, Electronics and Communications Engineering
    2011 - 2015

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