Tejas Sujit Bharambe

Research Assistant at University of Southern California
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Contact Information
us****@****om
(386) 825-5501
Location
US

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Experience

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Jan 2023 - Present

      Lab: CPS-VIDA Lab (Verification, Intelligence, Design, and Analysis)Mentor: Dr. Jyotirmoy Deshmukh, Director CPS VIDA• Collaborated with Siemens to implement Worker Movement Detection on Factory Floor using YOLOv5, and designed a monitoring system for identifying activity in and around danger zones.• Developed consistency checker and hazard analyzer for RTLS and Vision input streams, ensuring temporal and spatial consistency between frames by tracking object correspondence.• Conducted data mining to extract TQTL/STQL formulas from datasets. TQTL/STQL are temporal logic languages used to specify and verify the properties of systems.

    • Course Producer
      • Aug 2021 - Dec 2022

      Fall 2021 - DSCI 559 Course [Foundations of Data Management]Spring 2022 - DSCI 510 Course [Principles of Programming for Data Science]Fall 2022 - DSCI 550 Course [Data Science at Scale]

    • United States
    • Real Estate
    • 700 & Above Employee
    • Data Science Intern (People Analytics Team)
      • May 2022 - Aug 2022

      • Designed survey for current users, analyzed feedback with spaCy, categorized feedbacks into set of recommendations (automated process), saving team 10 hrs/week. • Established engagement improvement metrics & developed XGBoost model to predict users’ likelihood to churn (F1 score: 0.89) • Built Tableau dashboard to analyze users’ life cycle from Tableau server metadata, estimated to improve usability by 25% QoQ. • [Redfin Hackathon] Predicted customer booking method using showing instructions of home with an accuracy of 76%, exercising spaCy and BERT saving each tour coordinator’s 3 hours per month

    • United States
    • Business Consulting and Services
    • 700 & Above Employee
    • Associate Consultant (Analytics)
      • Dec 2020 - Jul 2021

      • Clinical Trial Sizing: Led resource optimization team in designing an optimal demand FTEs for ~50 clinical trial roles using machine learning algorithms.• Joint Call Plan: Streamlined call planning strategies and created dynamic JCPM environments for multiple sales forces, resulting in a 13.8% increase in trimesterly segmented target reach.• Customer Segmentation: Designed 50+ knowledge-based micro-clusters of customers using key drivers of customer sales employing k-means++ & hierarchical clustering. Created promotional response by micro-clusters utilizing linear regression with log transformation to assist 600 personnel in targeting.

    • Associate (Analytics)
      • May 2018 - Nov 2020

      Led the resource planning and deployment team responsible for: • Salesforce Sizing, Structuring and alignment: Designed field force structure for 600 personnel and developed a model for optimal field force size and alignment. Used complex statistical models to optimize salesforce size for 6 salesforce, cutting costs by 25%. • Incentive Compensation: Managed incentive compensation plans for a salesforce to enhance the productivity of the sales representatives by ~20% • Targeting and Resource planning: Led a team to construct a model recommending the best HCP customers for sales reps for 7 products, boosting sales by ~30% YoY.• Adhoc Deliverables and Reporting:- Created tailored business analytics dashboards using Excel, SQL, Access, and SAS to track KPIs and aid clients in decision-making on sales force performance and productivity.- Developed efficient tools and utilized automation techniques to minimize manual intervention and reduce report turnaround time by 25%.- Analyzed and processed data from the data warehouse to fulfill ad-hoc client requests and provided insightful business solutions.

    • Ireland
    • Business Consulting and Services
    • 700 & Above Employee
    • Data Engineer (Oracle SQL)
      • Sep 2017 - Apr 2018

      • Migrated client’s acquired organization’s data from SAP to Oracle SQL which involved understanding of critical business needs, existing SAP methodologies and data warehouse structures • Redesigned data warehouse schema to make it more efficient, feasible and well suited for Oracle SQL system • Migrated client’s acquired organization’s data from SAP to Oracle SQL which involved understanding of critical business needs, existing SAP methodologies and data warehouse structures • Redesigned data warehouse schema to make it more efficient, feasible and well suited for Oracle SQL system

  • Finance Republic
    • Pune Area, India
    • Data Science Intern
      • Jun 2017 - Aug 2017

      • Equity research based on sentiment analysis and objective index via peer comparison, technical and fundamental analysis • Equity research based on sentiment analysis and objective index via peer comparison, technical and fundamental analysis

    • United States
    • Financial Services
    • 700 & Above Employee
    • Big Data Analytics Intern
      • Jun 2016 - May 2017

      Customized MapReduce paradigms and developed a SerDe (Serializer-Deserializer) library in Java for EBCDIC to ASCII file conversion, embedded in the Hadoop ecosystem, to solve the following problems when SQL-Like queries are fired through HIVE: • static file conversions outside Hadoop clusters • additional processing power • duplicate storage Customized MapReduce paradigms and developed a SerDe (Serializer-Deserializer) library in Java for EBCDIC to ASCII file conversion, embedded in the Hadoop ecosystem, to solve the following problems when SQL-Like queries are fired through HIVE: • static file conversions outside Hadoop clusters • additional processing power • duplicate storage

    • India
    • Telecommunications
    • 700 & Above Employee
    • Data Analyst Intern
      • Jun 2016 - Jul 2016

      • Created macros for business intelligence dashboard to represent segmented VoLTE data based on usage of customers • Created macros for business intelligence dashboard to represent segmented VoLTE data based on usage of customers

Education

  • University of Southern California
    Master of Science - MS, Applied Data Science
    2021 - 2023
  • Maharashtra Institute of Technology
    Bachelor of Engineering (B.E.), Computer Engineering
    2013 - 2017
  • Vikhe Patil Memorial School
    HSC, Science
    2012 - 2013
  • Kokilaben Dhirubhai Ambani Vidyamandir
    SSC, 95%
    2010 - 2011

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