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drjollof/README.md

I am a Data Scientist and Research Analyst specializing in translating complex datasets into strategic business recommendations. With a dual proficiency in R and Python, I build end-to-end analytical pipelines from statistical research and A/B testing to the deployment of predictive machine learning models.

  • Current Focus: Quantitative Finance.
  • Expertise: Supervised/Unsupervised Machine Learning, Exploratory Data Analysis (EDA), and Experimental Design.

🛠 Technical Tools

Category Tools & Technologies
Languages Python (Pandas, Scikit-Learn, NLTK), R (Tidyverse, Tidymodels, Shiny), SQL
Machine Learning Regression, Clustering, Random Forests, XGBoost, Neural Networks
Data Ops & Visualization Git/GitHub, Power BI, Excel, ggplot2, Matplotlib
Research & Stats A/B Testing, Hypothesis Testing, Multivariate Analysis

Pinned Loading

  1. automated-tenants-tracker automated-tenants-tracker Public

    A project demonstrating an automation system for property managers using Google Sheets, Google Apps Script, and Zapier

    JavaScript

  2. drama-recommender drama-recommender Public

    An Asian Drama & Movie recommender system using Cosine Similarity. Covers CN, KR, JP, and HK titles up to mid-2025.

    HTML

  3. language-detection-project language-detection-project Public

    Jupyter Notebook

  4. financial-tools financial-tools Public

    An interactive web application built with Streamlit that simplifies complex financial concepts into hands-on visual simulators, covering everything from basic stock valuation to credit risk and por…

    Python