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Student of the Art of Data Science and Machine Learning
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heymax-analytics-case-study
March 16, 2026 – Present
End-to-end analytics engineering case study for HeyMax. Includes data modeling, growth accounting metrics, dbt transformations, and AI-assisted documentation system design.
View Projectmy-the-look-project
January 8, 2026 – Present
A Professional Grade Analytics Engineering Project
View Projecttwitter_sentiment_analysis
April 5, 2022 – April 6, 2022
Twitter Sentiment Analysis using NLP techniques and deployment on Streamlit
View ProjectMarket-Basket-Analysis
January 20, 2022 – January 21, 2022
Market Basket Analysis using Apriori Algorithm and techniques like Association Rules, Frequent Itemsets Analysis
View ProjectDimensionality-Reduction
January 11, 2022 – January 17, 2022
Demonstrating Dimensionality Reduction techniques like PCA, LDA, MDS and t-SNE
View ProjectClustering-Algorithms
January 11, 2022 – January 17, 2022
Demonstration of different Clustering Algorithms like Hierarchical, K Means and DBSCAN using a synthetic dataset.
View ProjectHR-Analytics---Job-Change-Classification-using-CART
December 23, 2021 – April 13, 2022
Identify employees that are probable to change their jobs using CART modelx.
View ProjectAbalone-Classification
December 19, 2021 – April 13, 2022
Classifying Abalones using Logistic Regression and Regularization Techniques and deploying on Heroku Using a basic Flask api
View ProjectRegularization-Techniques-for-Linear-Regression
December 18, 2021 – December 19, 2021
Demonstrating Regularization techniques like Lasso, Ridge and Elastic Net to solve Linear Regression and it's relative performance with OLS
View ProjectBBC-News-Text-Classification
February 23, 2020 – February 23, 2020
Multi Class Text Classification of BBC news articles
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong interest and self-driven learning in data science and analytics engineering. The diversity of projects, from core machine learning algorithms to NLP and deployment, suggests a broad curiosity and willingness to explore different facets of the field. The 'heymax-analytics-case-study' project indicates an understanding of end-to-end analytics workflows, which aligns well with a data-driven culture. However, without team-based project experience or interview data, assessing collaboration and cultural alignment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approaches, or communication style in a team setting.