CV
Basics
| Name | Sheeraja Rajakrishnan |
| Label | Ph.D. Candidate @ Rochester Institute of Technology |
| srajakri@gmail.com | |
| Url | https://sheeraja.github.io/ |
| Summary | Ph.D. candidate researching uncertainty-aware reinforcement learning |
Education
Work
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Jun 2026 - Aug 2026 Applied AI PhD Intern
Sixfold AI
- Developed a functioning LLM-as-Judge framework that reflects its own uncertainty and can be extended to several customers and use-cases, using Python
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Aug 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
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Apr 2020 - June 2022 Data Analyst/Data Scientist
Kaiser Permanente
- Analyzed video visits data and developed multiple Tableau reports with insights for 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
- Involved in upgrading the Tableau server and maintaining user accesses
- 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)
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Sep 2019 - Apr 2020 Technical Business Analyst
Kaiser Permanente
- Automated a part of the testing process to reduce testing time from 20 minutes to 30 seconds, using Python
- Worked on QA and database regression testing
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Aug 2018 - May 2019 Data Analyst (Part-time)
Syracuse University
- Analyzed faculty research expenditures, to assess the overall spending incurred by the department, and created reports using Tableau Desktop
- 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
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Oct 2017 - May 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
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Sep 2015 - Jul 2017 Business Analyst
Tata Consultancy Services (TCS)
- Worked as a Lead for a few projects, in the Visual Analytics team of an American multinational banking and financial services corporation, 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, back-end databases, and reports using Impala and Tableau to monitor traffic
- Provided training on R, Tableau, and cloud platforms to colleagues
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Aug 2014 - Sep 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 (RStudio), to perform classification of textual and non-textual data
- Analyzed available data to identify major factors affecting the sales, of a dish washing soap, for one of world's largest consumer goods company using SQL, R and Tableau
- 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 |