Welcome to my GitHub profile. I am Jonathan Dedinata, a #data-analyst/scientist and #machine-learning-savant. I code, I analyze, I debug, and more importantly, I commit.
Ask me about: Grabbing a Coffee
Leadership
Data Analysis
Startups
Entrepreneurship
Great Ideas
Don't ask me about: This readme
π Graduated: M.S. Computer Science & B.S. Computer Science and Engineering @ University of California-Irvine
π¨πΌβπ» Former Software Technician Team Lead & WorldWide Developer Relations @ Apple
Expand: More About Me...
const jd = {
pronouns: "he" | "him",
code: [Python, C++, SQL, R],
tools: [GitHub, MS Azure, Power BI, Tableau],
libraries: [PyTorch, TensorFlow/Keras, Pandas, SciPy, NumPy, RegEx, Matplotlib, Scikit-learn, HuggingFace, NLTK, sqlite3],
Disciplines: [Machine Learning and Data Mining, Data Visualization, ETL Workflows, Deep Learning, Natural Language Processing],
Models: [Linear Regression, Logistic Regression, KNN, Decision Trees, Gradient Boosting, Support Vector Machines (SVM), K-Means Clustering],
challenge:
"Get more certifications and landing the dream job.",
};
IBM Data Science Professional Certificate
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft Certified: Azure Data Fundamentals (DP-900)
Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC-900)
Career Essentials in Data Analysis by Microsoft and LinkedIn
Career Essentials in Business Analysis by Microsoft and LinkedIn
In-Progress: PL-900, MS-900, DP100, DP-203, DP-420, DP-500, AI-102, PL-300, MB-260, IBM Data Analyst
IBM Data Science Capstone