CV

Basics

Name Sheeraja Rajakrishnan
Label Ph.D. Candidate @ Rochester Institute of Technology
Email srajakri@gmail.com
Url https://sheeraja.github.io/
Summary Ph.D. candidate researching uncertainty-aware reinforcement learning

Education

  • 2022 - Present

    Rochester, NY

    Ph.D.
    Rochester Institute of Technology
    Computing and Information Sciences
  • 2017 - 2019

    Syracuse, NY

    M.S.
    Syracuse University
    Computer Science
  • 2010 - 2014

    Chennai, India

    B.E.
    SSN College of Engineering
    Computer Science

Work

  • 2022 - Present
    Machine Learning Researcher
    Rochester Institute of Technology
    • Researching on uncertainty-aware reinforcement learning models
    • Passed the Research Potential Assessment in May 2023
    • Successfully defended dissertation proposal in October 2025
  • 2020 - 2022
    Data Analyst/Data Scientist
    Kaiser Permanente
    • Analyzed video visits data and developed multiple Tableau reports to communicate insights to stakeholders
    • Developed an interactive Tableau dashboard and custom Google Analytics reports and dashboards for analyzing COVID-19 web traffic
    • Worked on a PoC algorithm for face recognition using Python and the sklearn package
    • Created a dynamic Tableau dashboard to track all the published reports on the Tableau server, using the PostgreSQL Tableau Server Repository
    • Created a Tableau dashboard to forecast pageviews, using SARIMAX and the TabPy server
    • Conducted data science sessions on Logistic Regression, K-Means and K-Modes Clustering, Dimensionality Reduction, Decision Trees, and TabPy
    • Utilized NLP models to categorize patient emails (using Python and spaCy)
  • 2019 - 2020
    Technical Business Analyst
    Kaiser Permanente
    • Automated a portion of the testing process to reduce the testing time from 20 minutes to 30 seconds, using Python
    • Worked on QA and database regression testing
  • 2018 - 2019
    Data Analyst
    Syracuse University
    • Worked on the analysis and reporting of faculty research expenditures to assess the overall spending incurred by the department
    • Automated all the data entry and analysis processes, to populate the data required for the analysis and reporting, using Python
    • Worked on converting a manual form to an online form using JavaScript, PHP, and MySQL
  • 2017 - 2019
    Graduate Research Assistant
    Syracuse University
    • Worked on analysis of a social network using K-core decomposition, in Python, to segregate nodes into different clusters and to assess the impact of the removal of one node on other nodes
  • 2015 - 2017
    Business Analyst
    Tata Consultancy Services (TCS)
    • Worked as a Lead for a few projects, in the Visual Analytics team, to report the performance of the business, using Tableau
    • Performed K-means clustering for customer segmentation, correlation analysis for customer spending patterns, and trend analysis on customer spending data using R, Hive, and Impala
    • Created a few custom views, such as a chord chart, an arc chart, and a hexagonal map, in Tableau
    • Developed an algorithm, using Impala, to validate transactions that were flagged as fraudulent transactions
    • Worked as a Lead and developer, on the full stack development of an agile project to create a web page and monitor the traffic — Created a web page, back-end databases, and reports using Impala and Tableau
    • Provided training on R, Tableau, and cloud platforms to colleagues
  • 2014 - 2015
    Trainee Decision Scientist
    Mu Sigma Business Solutions Pvt. Ltd.
    • Worked for the in-house Products Team to build a Naive Bayes Classifier Package, using R, to perform classification of textual and non-textual data
    • Worked with the Business Intelligence team of a major multinational mass media and information client to perform data analyses and generate analytic reports using SAP Business Objects and Tableau

Interests

Machine Learning
Uncertainty Estimation
Reinforcement Learning