Student of the Art of Data Science and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.