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Pint AI
Data Scientist
June 16, 2026 – Present
anime_recommender_flask
July 25, 2020 – July 26, 2020
anime_recommender_flask — GitHub repository
View ProjectNatural-Cubic-Spline-Piecewise-polynomials-coefficients
April 17, 2019 – April 17, 2019
Natural-Cubic-Spline-Piecewise-polynomials-coefficients — GitHub repository
View ProjectAirbnb-Price-Suggestion
August 18, 2018 – September 22, 2018
Airbnb-Price-Suggestion — GitHub repository
View ProjectChicago-Taxi-Revenue
June 6, 2018 – May 1, 2019
The objective of this project is to build visualization models which help in the interpretation of how Chicagoan uses their public taxi on an hourly and daily basis
View ProjectDeep-Neural-Networks--Step-by-Step
June 6, 2018 – June 17, 2018
Build a deep neural network from scratch.
View ProjectVehicle-Problems
February 8, 2018 – January 30, 2019
The objective of this study is to identify clusters of vehicle related problem and associated year trends after 2012. Incidents representing two severity levels(fatal incidents and incidents involving injury) from the free response data in the NHTSA's vehicls owner's complaint database are analyzed using text mining approach.
View Projectwhat-s-cooking
December 16, 2017 – October 3, 2020
The present work utilizes state-of-the-art text mining and machine learning algorithms to predict the category of cuisine (e.g. Mexican, Italian, Indian etc.) for a given recipe, whose ingredients are input to the model. The model is trained on a large dataset that contains the list of ingredients for several recipes belonging to different cuisine categories, and performs the cuisine category classification based on this learning. 1.1. Objectives & Need The present work aims to enable automated categorizing of the cuisine for any recipe. If the user desires to know the origin of a recipe, or wants to know which section of the menu or website the recipe at hand should be put into, then our model shall enable an objective classification based on the input of ingredients for the recipe. This shall enable restaurants, bloggers, food delivery chains, nutritionists etc. in designing menus, recipe lists and nutrition charts by correct segregation of cuisine categories, enabling customers to m
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests within data science, from cuisine prediction to vehicle problem analysis and recommendation systems. This breadth suggests an adaptable individual who can explore different problem domains. The current role as a Data Scientist at Pint AI aligns directly with the target role, indicating a clear career path and interest in the field. However, the lack of team-based projects or detailed descriptions of collaborative efforts makes it difficult to fully assess cultural fit beyond individual initiative.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills and operational fit. No psychometric test results or interview feedback are available.