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7 years of quantitative research experience. Looking to pivot into decision/behavioral science. MFE @ Haas School of Business, UC Berkeley/IIT Delhi
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RecipesInSpanish
May 14, 2025 – May 20, 2025
Use NLP or LLM on RecetasDeLaAbuela dataset from HF
View Projectbank_marketing
August 11, 2024 – August 14, 2024
Evaluate classification algorithms to preict if a customer subscribes to Term deposit as a result of marketing campaign
View Projecttopic_modeling_songs
August 8, 2024 – August 25, 2024
Use Latent Dirichlet Allocation(LDA), Latent Sematic Analysis (LSA) and non-negative Matrix Factorization (NMF) to understand important themes in top US songs.
View Projectemotional_classification
July 9, 2024 – October 8, 2024
Capstone project for Berkeley ML/AI project.Classify emotions using NLP techniques
View Projectassignment_11.1_predict_car_prices
June 23, 2024 – June 26, 2024
Practical application 2 for Berkeley course
View Projectkagglex_cohort4_car_prices
June 20, 2024 – June 20, 2024
Sample submission for KaggleX fellowship
View Projectkaggle_disaster_tweets
May 30, 2024 – June 4, 2024
Natural Language Processing with Disaster Tweets (Kaggle Competition for Getting Started)
View Projectassignment_5_1_gsc
May 5, 2024 – May 7, 2024
First practical application for the UC Berkeley ML/AI certification
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong self-starter attitude and a passion for learning new ML/AI concepts, which could align well with a culture that values continuous learning and independent exploration. However, the projects are all personal and lack details on team collaboration or real-world impact, making a comprehensive cultural fit assessment challenging. The diversity of projects within the ML/AI domain suggests a broad interest in the field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without detailing collaborative efforts, problem-solving approaches, or communication styles.