Machine Learning Data Science
Resume:
Peter Asante
Data Scientist
Profile
Experienced data scientist with extensive background in
interdisciplinary research and project leadership. With extensive experience in the applications of mathematical and machine learning models, utilizing big data from different fields such as health care, finance and geophysics. Adept at in working in a collaborative environment at multiple levels in order to achieve optimal results. Employment History
Data Science Research Associate at University of Texas at El Paso, El Paso
January 2020 — August 2023
• I collected data relevant to the project and prepared the data for analysis using various data wrangling approaches.
• I developed and implemented high-level mathematical and machine learning models to model the data for predictive analysis, with most of my models achieving over 90% accuracy.
• Drafted a report outlining the key findings of a research project, demonstrating the ability to analyze and interpret data.
• Developed a research database to store and organize data from the research project.
Reviewer at Science Publishing Group, New York City April 2022 — April 2024
• I evaluated top-tier research articles that pushed the boundaries of data science and data analysis, with a specific focus on their real-world implementation and advancements in handling large datasets and offered relevant suggestions to improve the articles in terms of presentations, accessibility and model efficiency.
• I also assessed subjects encompassing machine learning, cloud computing, and the broader field of data science.
Education
PhD. Computational Science, University of Texas at El Paso, El Paso January 2018 — May 2023
MS, Mathematics, Kansas State University, Manhattan August 2015 — December 2017
BS, Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi
October 2010 — June 2014
Certifications
University of Texas at El Paso: Big Data Analytics Certificate Details
2041 Nehemiah Ct
Las Cruces, 88001
United States
********@******.****.***
Links
Personal Website
LinkedIn Profile
Soft Skills
Decision Making
Creativity
Ability to Work Under
Pressure
Ability to Work in a Team
Communication
Critical thinking and problem
solving
Effective Time Management
Ability to Multitask
Fast Learner
Adaptability
Leadership and Teamwork
Research and Development
Presentation
Interpersonal Skills
Coursera - Python For Data Aalysis
Coursera - Data Science Methodology
Amazon Certified Cloud Practitioner, In progress
Kansas State University: Applied Mathematics Certificate Coursera - What is Data Science
Hard Skills
Technical
• Cloud Architecture & Operations
• Unix/Linux OS: Ubuntu, CentOS 9 Stream
• Virtual Machines (VM's)
• Virtual Control Systems (VCS): Git, Github, Bitbucket, AWS CodeCommit
Software
• Bash Scripting
• Python, R, MATLAB, MySQL
Machine Learning Tools
• Pandas, Numpy, Mathplotlib, ggplot2, Supervised and Unsupervised ML
AWS Services
• EC2, IAM, ECS, ECR, S3, ASG, Route53, DynamoDB, RDS, etc. Projects
Developing ML model to screen for Prostate Cancer
• I used supervised machine learning models on high-dimensional medical data to build a non-invasive screening model for prostate-cancer with over 90% accuracy.
• I wrote a high-level R script to implement data wrangling on big data as well as to implement machine learning models for analysis.
Predicting spam emails
• I used a combination of supervised and unsupervised machine learning models on email data sets to predict spam emails, achieving an accuracy of over 95%.
• I wrote a high-level R script to implement data wrangling on big data as well as to implement machine learning models for analysis.
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