Machine Learning Data Analytics

DWIGHT DINKINS

Medina, NY ***** 585-***-**** *************@*****.***

Utilize expertise in Mathematics and Mathematical Modeling to improve contemporary Machine Learning Models for better prediction and decision-making. Mathematical Models is an instrument for improving the lives of ordinary people. Possess a wealth of knowledge devoted to innovation and mathematical modeling. Mathematical Modeling (generally) Strong Communication Skills Sensitivity Analysis and Uncertainty Quantification Strong Analytical, Quantitative, and Qualitative skills

Python Programming Data Cleaning/Manipulation/Visualization Statistical Analysis SQL Databases

Machine Learning Neural Networks

Optimization

Master of Science: Applied and Computational Mathematics, 05/2024 Rochester Institute of Technology (RIT) - Rochester, NY Professional Development: Foundations of Data Science

[3.4] GPA

Thesis: [Second-Order Permutation Variable Importances: Quantifying and Attributing Uncertainty in Future Coastal Hazards]

Bachelor of Arts: Mathematics, 05/2022

SUNY Geneseo - Geneseo, NY

Advanced Data Analytics, Google - 06/2024-Present Verify: https://coursera.org/verify/profession al-cert/8PGZWPXTA6RN Those who earn the Google Advanced Data Analytics Certificate have completed seven courses that include hands-on, practice-based assessments and are designed to prepare them for advanced roles in data analytics and entry-level roles in data science. They are competent in exploring large datasets, applying data analysis techniques, and building models to extract insights. They are also competent in machine learning, predictive modeling, and statistics.

PROFESSIONAL SUMMARY

SKILLS

EDUCATION

CERTIFICATIONS

GOOGLE ADVANCED DATA ANALYTICS PROFESSIONAL CERTIFICATE PROFESSIONAL EXPERIENCE

Recitation Instructor, 01/2024 - 04/2024

Rochester Institute Technology – Rochester, NY

Taught Calculus 2 for three courses, instructing between 30-40 students per section. Math Teacher Assistant, 01/2023 - 12/2023

Rochester Institute of Technology – Rochester, NY

Teaching assistant for two Calculus II courses, assisting a range of 30-40 students per class with grading and in-class workshops.

Does Regular Exercise Reduce Stress?:Developed a RandomForestRegressor, using data collected from FitBit Versa 4, to predict stress levels. Found lack of sleep to be the main contributor. California Housing Dataset: I chose RandomForestRegressor and MLPRegressor, as the dataset consisted of nonlinear features: Latitude and Longitude. I obtained a mean-squared-error (MSE) of 0.1 on the training dataset using Sci-kit Learn's MLPRegressor and an MSE of 0.2 on the testing dataset. Second-Order Permutation Variable Importances for Random Forest Regressor: I found a relationship between Sobol Sensitivity Indices (or measures) and Second-Order Permutation variable Importances for RandomForestRegressor (RFR), overcoming the bias present within RFR's feature importance. Mathematical Model for Substituting Insect Frass for Mineral Fertilizer: Demonstrated that insect frass isn't a viable alternative for mineral fertilization, as it requires large buildings (bigger than the Ei el Tower) to house them and to produce enough frass for a farm with 2400 acres of land. Modeling the effects of decomposing cow carcasses (leachate) on groundwater basins in Tooele, Utah: Developed Mathematical Model, adapting Darcy's Law of Flow. Found that the amount of cow-carcass contaminants(leachate) in the groundwater will be 9.46 ppm(parts per million), which exceeded the USEPA's recommendations. Recommended the installation of filters. PROJECTS

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