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Boston University
Data Scientist
June 28, 2026 – Present
seam
June 19, 2026 – Present
Shortcut-aware real-time scripted-vs-spontaneous speech detection (Interspeech 2026)
View ProjectMusic-Genre-Classification-Project
April 9, 2025 – May 2, 2025
A project that focuses on music genre classification using data mining techniques and other approaches
View ProjectDCGAN_Pixel_Heroes
November 30, 2024 – December 21, 2024
DCGAN (Deep Convolutional Generative Adversarial Network) implemented in raw NumPy to generate diverse and detailed 64x64 images of game characters. The critic and generator architectures are adjustable using a Sequential-like syntax.
View ProjectCNNFromScratch
November 17, 2024 – November 26, 2024
The project implements a convolutional neural network (CNN) in raw Python3 to analyze various categories of photos.
View ProjectML_PolyLinearModels
November 11, 2024 – November 11, 2024
A hands-on project for learning linear and polynomial regression by building models from scratch in Python. Focuses on core ML concepts like gradient descent, error calculation, and feature engineering.
View ProjectDNNFromScratch
November 4, 2024 – November 15, 2024
DNNFromScratch is a deep neural network framework developed in raw Python for analyzing handwritten digits, designed without external libraries like TensorFlow or NumPy. It features layer stacking, activation functions (ReLU, Sigmoid, Softmax, LeakyReLU), and optimizers like Gradient Descent and Mini-batch Gradient Descent.
View Projectlab-agile-planning
September 12, 2024 – March 4, 2025
lab-agile-planning — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in cutting-edge AI/ML topics, which aligns well with an innovative and research-oriented culture. The diversity of projects, from foundational ML to advanced deep learning and NLP, suggests adaptability and a broad intellectual curiosity. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaborative cultural fit. The candidate's current role as 'Data Scientist' at Boston University, if it involves research, further supports a good cultural alignment for a technically deep role.
Soft Skills & Operational Fit
The candidate's extensive personal projects suggest strong initiative, problem-solving skills, and a passion for learning. The focus on building complex models from scratch indicates a deep understanding of underlying principles, which is valuable for a Data Scientist role. However, without specific assessment data, it's difficult to evaluate communication, teamwork, or stress handling directly.