Stephen

Stephen

Machine Learning Engineer
United States of America

نبذة عني

Machine Learning Engineer and Data Science Fellow with experience in machine learning, data analysis, and predictive modeling. Has worked on projects involving Python, SQL, data wrangling, data visualization, hypothesis …

الخبرة

Data Science Fellow

Springboard
حتى الآن

Completed 500+ hours of hands-on course material.
Worked under 1:1 industry expert mentor oversight.
Completed 2 in-depth portfolio projects.
Mastered skills in Python, SQL, data wrangling, data visualization, hypothesis testing, and machine learning.
Built a deep learning model using Neural Networks, using data wrangling, data augmentation, and hyperparameter tuning, improving model performance from 45% to 65%.
Applied model selection techniques using parametric and non-parametric models.
Chose relevant performance metrics.
Evaluated model using confusion matrix and metric performance on validation and testing data, overall performance of 75%.
Programmed Tensor-board dashboard to record model performance graphs and confusion matrices for each iteration, reducing model overfitting.

Machine Learning Engineer

Omdena

Co-led the modeling development team for Identifying the Risks of Loneliness in the Netherlands.
Attended weekly leadership meetings.
Managed project tasks using Trello, Slack and Github.
Managed modeling segment and clarified deliverables, reducing product completion time by 30%.
Coded machine learning algorithms and model metrics for dashboard deployment team, reducing deployment time by 40%.

Career Break

Self Study

Completed Dataquest and Udacity Data Analyst Nanodegree courses, and data analyst projects.
Conducted 20+ informational interviews to understand new industries in data and career options.

Liability Risk Analyst

Allianz Global Corporate & Specialty (AGCS), Chicago, IL

Complied complex general liability risk analysis reports on diverse large and midsize corporations like 3M, Dupont, and Google, aiding underwriting in writing profitable businesses.
Extracted and analyzed data from internal and public datasets, including public databases, claims data, and property reports.
Made informed, data-driven decisions on risk ratings and knowledge gaps to stakeholders.
Interpreted predictive analytics models to determine the potential for long-term injury trends.
Decreased the potential for expensive long term injury claims.

المهارات

إكسل مايكروسوفت إكسل بايثون (لغة برمجة) قاعدة بيانات SQL خوارزميات تعلم الآلة نومباي (مكتبة لغة Python) برمجة PostgreSQL سايكيت ليرن تعلم الآلة SQL Data Wrangling Data Visualization Hypothesis Testing Neural Networks Data Augmentation Hyperparameter Tuning Model Selection Parametric Models Non-parametric Models Confusion Matrix TensorBoard Pandas Matplotlib Seaborn scikit-learn Jupyter Notebook Keras TensorFlow Streamlit MySQL PostgreSQL Hive Impala Linear Regression Logistic Regression Support Vector Classification Randomized Search Random Forest XGBoost Voting Classifier Convolutional Neural Networks K Nearest Neighbors A/B Testing Naive Bayes Tableau Git GitHub Trello Slack
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