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Masters Student at University of Southern California
Data Scientist
June 19, 2026 – Present
MachineLearningPersonalProjects
February 2, 2019 – February 4, 2019
MachineLearningPersonalProjects — GitHub repository
View ProjectsmsSpamDetection
August 22, 2017 – August 22, 2017
Spam detection is one of the major applications of Machine Learning in the interwebs today. Pretty much all of the major email service providers have spam detection systems built in and automatically classify such mail as 'Junk Mail'.
View Projectmachine-learning
July 19, 2017 – December 19, 2017
Content for Udacity's Machine Learning curriculum
View ProjectUrdu-Hindi-Transliteration
April 1, 2017 – April 29, 2017
“One man’s Hindi is another man’s Urdu” (Rai, 2000). We aim to transcribe written hindi sentences into written urdu sentences and vice versa using the two language's phonetic equivalence
View ProjectfacebookEmailExtractor
March 2, 2017 – March 2, 2017
facebookEmailExtractor — GitHub repository
View ProjectExploringCLTK
February 24, 2017 – February 24, 2017
Exploring CLTK, Natural Language Processing open Source library for Classical languages
View ProjectLeetcode
February 10, 2017 – April 22, 2019
Mission increase brain power : Solve more and more puzzles effieciently
View ProjectQ-AExpertRecomendation_ML
February 8, 2017 – February 8, 2017
Q-AExpertRecomendation_ML — GitHub repository
View ProjectTripAdvisor_Reviews_Analysis
February 3, 2017 – February 24, 2017
TripAdvisor_Reviews_Analysis — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong individual initiative in exploring various machine learning and NLP topics. However, the projects are all personal and lack details on team collaboration or real-world application, making it difficult to assess cultural fit within a professional team environment. The diversity of projects indicates a curious and self-driven individual.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily academic (Masters Student) with personal projects, offering no insight into professional collaboration or work attitude.