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Machine-Learning-from-Scratch-using-NumPy-pandas-matplotlib...-
May 26, 2026 – Present
Machine-Learning-from-Scratch-using-NumPy-pandas-matplotlib...- — GitHub repository
View ProjectHypothesis-Testing-in-Sports
October 17, 2025 – October 17, 2025
A data-driven investigation comparing goal-scoring patterns in men's vs women's FIFA World Cup matches since 2002. Uses statistical hypothesis testing to determine whether women’s matches yield significantly more goals. Includes data cleaning, assumption checks, and one-tailed test implementation in Python.
View ProjectSupply-Chain-Analytics-in-Power-BI
September 29, 2025 – September 29, 2025
Interactive Power BI dashboard for comparing supplier quotes vs internal manufacturing costs. Features dynamic volume-based cost simulation, DAX-driven logic, and investment planning for sourcing decisions.
View ProjectSQL-Data-Cleaning-and-Transformation-on-Yelp-raw-data
September 18, 2025 – September 18, 2025
A complete SQL project covering data cleaning, transformation, and statistical analysis on real-world style datasets. Demonstrates handling raw messy data, applying SQL best practices, and generating descriptive statistics (mean, median, mode, counts) to turn raw data into insights
View ProjectFormatting-and-analysing-the-sales-data-in-PostgreSQL
September 17, 2025 – September 17, 2025
In this project, i work with data from a hypothetical Super Store to challenge and enhance your SQL skills in data cleaning. This project will engage me in identifying top categories based on the highest profit margins and detecting missing values, utilizing my comprehensive knowledge of SQL concepts.
View ProjectCustomer-Churn-Insights-with-Excel
September 14, 2025 – September 14, 2025
Excel-powered customer churn analysis for a telecom dataset. Includes data preparation, pivot-based exploration, visual insights, and an interactive dashboard for executive decision-making.
View ProjectCustomer-Churn-Insights-with-Tableau
September 13, 2025 – September 13, 2025
Interactive Tableau dashboard analyzing customer churn in the telecom sector. Explore churn patterns across demographics, contract types, payment methods, and service usage. Designed to uncover actionable insights and support retention strategies using intuitive visual storytelling.
View ProjectEcommerce-Sales-Analytics
September 12, 2025 – September 30, 2025
A business-focused Power BI dashboard analyzing ecommerce sales, customer behavior, product profitability, and shipping cost strategies for Comp, a fictional pet supply company. This project showcases advanced DAX modeling, cross-sell and upsell logic, and interactive scenario analysis for executive decision-making.
View Projectgoodthought-impact-analysis_using_PostgreSQL
September 10, 2025 – September 10, 2025
SQL-driven analysis of GoodThought NGO initiatives to uncover top-performing donation assignments and regional impact leaders. This project uses structured queries to evaluate donation value and impact scores, helping optimize resource allocation and strategic planning for non-profit efforts.
View ProjectTime-Cross-Adaptive-Self-Attention-TCSA-based-Imputation-model-
November 22, 2024 – August 31, 2025
Time-Cross Adaptive Self-Attention (TCSA) model for multivariate Time Series Imputation Model for Sparse and Irregular Data
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily skewed towards data analysis, business intelligence, and machine learning, which aligns well with roles requiring strong analytical capabilities. The personal projects demonstrate initiative and a self-driven learning approach. However, the target role is 'Software Engineer', and the projects lack significant software engineering depth (e.g., backend development, API design, complex system architecture, object-oriented design in a production context). This indicates a potential mismatch for a pure software engineering role, but a strong fit for a Data Scientist or Data Engineer position.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a methodical approach to problem-solving and a focus on deriving insights from data. The diversity of projects suggests adaptability and a willingness to explore different tools and techniques. However, without specific psychometric test results or interview data, it's difficult to assess stress handling, teamwork, or direct communication skills.