PAUL-YVANN DJAMEN

Dallas-Texas ● 240-***-**** ● adx8ot@r.postjobfree.com

https://www.linkedin.com/in/paul-yvann-d-15b4b659/ PROFILE AND SKILLS

A well-rounded Ph.D. student trained in engineering and statistics with strong communication skills developed from extensive teaching, coaching with an innate ability to work independently or as part of a team. Special expertise in;

• Data analysis, risk evaluation, process improvement

• QA/QC: PLC, LIMS, SCADA, SDLC, CSM

• ASME codes, OSHA, HAZOP and SAIChE

• GxPs, cGMP, Scale up, API, R&D

• Agile, SCRUM, SAP, PFD, P&ID, Adv Excel

• Fluent in French, English, Mendumba and

intermediate Spanish and Turkish

• Biotech, Study design, DOE, CRO,Validation

• Databases: Postgre SQL/ORACLE, MS ACCESS

• Compliance, Regulation, Process Controls

• Simulation: winBUGS, ASPEN, POLYMATH,

Arena, Netlogo, Monte Carlo

EDUCATION

Doctor of Public Health in Biostatistics Expected 12/2026 University of Texas Health Science Houston, Texas

Post Graduate Data Science and Business Analytics 06/2022 – 04/2023 University of Texas McCombs Business School Remote, Texas Coursework: Python Foundations, Supervised Learning, Model Tuning and Hyperparameters Tuning, Unsupervised Learning, Ensemble Techniques, Data visualization

Master of computer and engineering science Transfer 06/2020 – 07/2021 University of the Pacific Stockton, California

Coursework: Data Science, Design of Algorithms, Human/Brain-Machine Interface, Interaction Design, Data Structures, Project Management, Scrum methodology,

Master of Science in Statistics and Engineering 08/2016 – 07/2020 University of New Mexico Albuquerque, New Mexico

Dissertation: "A comparison of variable selection methods using bootstrap samples from environmental metal mixture data" Bachelor of Science in Chemical Engineering 08/2013 – 06/2016 University of New Mexico Albuquerque, New Mexico

RESEARCH EXPERIENCE

Research Associate and Teaching Assistant 01/2019-07/2020 University of New Mexico Cancer Research Center Albuquerque, New Mexico

• Completed and published a thesis applying regression and classification techniques to quantify high dimensional data on cancer patients working in a CRO environment.

• Performed feature selection using Random Forest, Lasso, SODA, Elastic net and compared their performances using a confusion matrix with code developed in SAS and adapted in R

• Assisted with simulation and data transformation of large data sets and reported using visualization techniques provided by ggplot package in R.

• Conducted systematic review of literature papers in SDMX/SDLC format to understand incidence rate, longitudinal studies, time series, mortality rate, treatment outcome and demographic patterns in clinical research. Biomedical engineer Research Assistant 06/2012 – 07/2013 Howard Hughes Medical Institute Denton, Texas

• Investigated high levels of beta carotenoids in algae for fuel synthesis and performed DNA and MRNA extractions.

• Conducted analytical tests utilizing techniques such as chromatography, atomic absorption, Mass Spec, titration and documented for future experiments. Also analyzed genomes of microbial community with data stored in LIMS.

• Wrote sections and edited research papers which were peer-reviewed published in a technical journal PROFESSIONAL EXPERIENCE

Business Analyst on Data Science Projects(Process optimization) 06/2022-05/2023 University of Texas, McCombs Business School Austin, Texas

• Integrated statistical testing, A/B testing, data visualization, and inference to determine the effectiveness of a new landing page in Python and upgraded Ensemble techniques to predict total sales of a company

• Built and maintained a dynamic pricing strategy for used and refurbished devices by identified influential factors

• Applied up and down sampling, hyper parameter tuning and regularization on classification algorithms to identify equipment failure before they break and reduce maintenance cost. Graduate Teaching Fellow 08/2021-01/2022

University of Texas Health Science Houston, Texas

• Assisted with administrative duties for statistical computing including managing pull requests from GitHub

• Worked with professors to revise course syllabus, create midterm and final exams, and writing/grading assignments in R

• Led review sessions for 45+ students, weekly meetings to discuss lesson plans, teaching strategies, and assignments Program Manager 06/2020-07/2021

University of the Pacific Stockton, California

• Created and developed IRB for approval to incorporate human subjects in design of a study application

• Managed a team of three engineers and a computer scientist as a scrum master developing a study application to help college students

• Evaluated progress, led, and maintained calendar meetings during Sprints in an agile environment using Trello and Slack IT Specialist and Environmental Engineer 08/2020-03/2021 State of North Dakota Department of Health Bismarck, North Dakota

• Maintained the Safe Drinking Water Act guidelines by regulating businesses in accordance with EPA rules while assisting with P&ID document for new plants

• Developed QA/QC tools and pilot APIs for electronic reporting between all water system, state and non-state labs such as LabCorp, Eurofins, vendors and the Federal government using LIMS and review plans and specifications as required

• Collaborated cross functionally with scientists, engineers, IT, operators, as well as key data owners and enterprise executives to define criteria for determining critical data elements and oversaw over 300 operators and 20 engineers Process Statistician 06/2017-01/2018

Johnson & Johnson Skillman, New Jersey

• Designed a predictive algorithm on homogenization with an accuracy >90% accuracy saving over $50k per year.

• Enabled New Product Introduction to run at 150% normal production speed.

• Improved production process by providing deep-dive analysis for process improvement via design of experiments reducing 1000L of waste and saving over 30k per year. Process Improvement Engineer Intern 06/2015-06/2017 Albuquerque Drinking Water Plant Albuquerque, New Mexico

• Pioneered a 3-way ANOVA experiment using DOE for full scale optimization of water production saving $30k per year

• Implemented statistical methods via hypothesis testing to validate data required for quarterly corporate reports and managed a team of three operators.

• Developed and updated plant chemical treatments and procedures following OSHA and HAZOP guidelines using SCADA systems

Capstone AIChE Project Engineer 07/2015-07/2016

University of New Mexico and AIChE Albuquerque, New Mexico

• Designed an ethanol plant making fuel from sugar cane bagasse in a team of 4 engineers using ASPEN and advanced excel

• Performed monte Carlo simulation and cap cost analysis using Gant Charts to evaluate feasibility of profit and ROI after two years of production and conducted SAP analysis using excel.

• Completed Safety protocols, economics, and process controls required to present the project at AIChE to fund a start-up CERTIFICATIONS AND ADDITIONAL SKILLS

• Data Science in Python(UT Austin Mc Combs School of Business)

• Postgre SQL, Machine Learning A-Z in R and Python, Project Management, Data Visualization in R(Udemy)

• All 7 Safety certificates from AIChE including runaway reactions, dust explosion control, inherently safer design

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