Certified Data Scientist specializing in Python, SQL & R | Machine Learning, Data Analysis & Portfolio Projects
I taught myself data science through online courses, countless hours of practice, and real-world projects — no computer science degree, no statistics background from university, just curiosity and determination. Every project here reflects a step in that journey, from wrestling with syntax to building predictive models.
I write about my process, lessons learned, and full project walkthroughs on my blog — link below.
Python SQL R Pandas Scikit-learn Matplotlib Seaborn arules Logistic Regression Apriori Algorithm OOP Exploratory Data Analysis Data Cleaning Data Visualization Machine Learning
- 🛒 Retail Sales Analysis with SQL — Sales performance, promotion ROI, and customer trends
- 📊 Sales Analysis with GROUP BY & CASE — Conditional aggregation and revenue segmentation
- 🔗 SQL Joins & Union — Merging tables with INNER JOIN and UNION operations
- 📉 Business Analytics with Python — Customer churn analysis with logistic regression
- 📊 CTR Prediction with Python — Predicting ad click-through rate for e-commerce
- 🏬 Branch Performance Analysis with Python — Multi-city sales comparison using pivot tables
- 📈 Data Visualization with Python — Top 5 brands analysis using Matplotlib
- 🧹 Data Quality Assessment with Python — Profiling and cleansing techniques
- 🏠 House Price Prediction with Python — Similarity-based model built from scratch
- 🧩 OOP with Python — Polymorphism in business expense management
- 🔄 Data Manipulation with Pandas — Essential data transformation techniques
- 🔍 Exploratory Data Analysis with Python — E-commerce sales insights
- 🚗 Vehicle Expense Calculator — Automating expenses with odd-even plate rules
- 🛍️ Market Basket Analysis with R — Product bundling recommendations using the Apriori algorithm
Full write-ups, tutorials, and step-by-step breakdowns of every project: rosedatascientist.wordpress.com
Always learning, always building. Thanks for stopping by!