Tejas Savalia
Data ScientistMember since June 27, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
implicit-boundary-memory
April 6, 2025 – September 9, 2025
Code for manuscript on implicit boundaries
View Projectumass-dissertation
July 11, 2024 – November 3, 2024
umass-dissertation — GitHub repository
View ProjectSMAI-stock-prediction
April 18, 2016 – November 9, 2016
Implemented a system that analyses previous stock data of various companies, processes Time-Series data and aims to forecast the trends of stock in near future. Prediction is done using Supervised Learning Methods. (SVM ,Neural network)
View ProjectNaive-Bayes-for-two-class-bank-market-information-database-with-discrete-attributes
March 9, 2016 – March 9, 2016
Naive-Bayes-for-two-class-bank-market-information-database-with-discrete-attributes — GitHub repository
View ProjectMulti-layered-feed-forward-neural-networks-and-backpropagation-for-handwritten-digits
February 13, 2016 – March 4, 2016
Multi-layered-feed-forward-neural-networks-and-backpropagation-for-handwritten-digits — GitHub repository
View ProjectBattleship-MCTS
December 14, 2015 – February 13, 2016
Monte Carlo Tree search for a simplest version of the battleship game
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on academic or personal machine learning explorations. While demonstrating technical interest, there is limited evidence of collaborative projects, diverse team environments, or contributions to open-source initiatives. The project descriptions are brief, making it difficult to gauge the depth of involvement or problem-solving approach in a team context. The target role is Data Scientist, and the projects align with the technical aspects of this role, but the breadth of application and exposure to industry-standard practices is not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.