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Assessing your cultural and operational fit
Accessibility-of-Transit-Spaces
October 6, 2025 – October 7, 2025
This project analyzes the accesibility of available transit spaces (bus stops, benches, etc.) for unhoused communities in Toronto.
View ProjectMiLB-Prospects-Batting-Projections
September 14, 2025 – September 30, 2025
Using data of minor league prospects acquired from FanGraphs, I attempt to create a model that predicts their offensive production at the plate in the major leagues.
View ProjectLoan-Approval-Prediction
March 10, 2025 – March 14, 2025
Analysis and predictive modeling for loan approval using machine learning, including data exploration, feature engineering, and model evaluation.
View ProjectNewsQuery
February 25, 2025 – March 18, 2025
A news research tool that streamlines fact-finding and research by extracting relevant information from multiple news sources.
View ProjectToronto-Shelter-Analysis
January 26, 2025 – June 19, 2025
Shelter occupancy analysis on Toronto's shelter groups and organizations.
View ProjectFlavorFusion
December 5, 2024 – April 7, 2025
An AI-powered recipe recommender using the Food.com dataset to match users with tailored meal ideas based on preferences and interaction data.
View ProjectRotten-Tomatoes-Sentiment-Analyst
November 3, 2024 – December 26, 2024
Sentiment Analysis with Transformers on Rotten Tomatoes Reviews
View ProjectBank-Marketing
October 20, 2024 – February 24, 2025
The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit (variable y).
View ProjectMiniGram
September 18, 2024 – October 30, 2024
An in-depth SQL report analyzing a custom database modeled after a scaled-down version of Instagram, extracting key insights on user engagement, post interactions, and growth trends.
View ProjectSTAD80-Review_Of_Double_Descent
April 14, 2023 – April 15, 2023
A Review of Preetum Nakkiran's "More Data Can Hurt for Linear Regression: Sample-wise Double Descent"
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards data science and machine learning through a diverse portfolio of personal projects. The projects cover various domains (social media analysis, sports analytics, recipe recommendation, banking, sentiment analysis, urban planning), indicating a broad interest and adaptability. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest an ability to work independently on self-directed initiatives.