PAUL NGUMBI, P H . D .

** *********** **., **** ****, Boston, MA 02136 774-***-****

ad3wwl@r.postjobfree.com https://www.linkedin.com/in/paul-ngumbi-0224b4236/ PROFILE OF QUALIFICATIONS

Highly Motivated Materials Scientist with a strong background in optoelectronics, nanomaterials, and a passion for transitioning into Data Science and Machine Learning. Ph.D. in Physics (Energy Materials) Graduate who delivers impactful results by exhibiting a passion for advancing scientific knowledge and innovation while succeeding in cross-collaborative project scenarios to exceed expectations. Articulate Communicator who quickly tackles tasks via strong critical thinking and problem-solving abilities, as well as sharp attention to detail.

CORE COMPETENCIES

Material Science: GEANT4 Tool Kit & GATE NOMAD MATLAB Crystallography Schrödinger Quantum ESPRESSO Electrodes Design CVD Citrate Reduction Method Molecular Dynamics Simulation Graphene Technology Thin-Film Technology Annealing Techniques Engineering / Electronics: AutoCAD 3D Machining Multisim Digital Circuits Design & Simulation PV Solar Cell Design & Analysis Digital Signal Processing (DSP) Analytical Tools: Raman Spectroscopy Optical Microscopy UV/VIS Spectroscopy FTIR TEM ImageJ

Data Analytics: Databases Data Mining Python Machine Learning Data Modeling Data Management Cloud Computing SQL Data Visualization Tools R-Programming Microsoft Excel Data Cleaning Statistics Statistical Tools Statistical Framework Others: Microsoft Office Suite Linux/Windows Virtual Machines LIMS/ELNs Environmental Site Assessment (ESA) LaTeX/Overleaf PROFESSIONAL SYNOPSIS

EAST AFRICAN INSTITUTE FOR FUNDAMENTAL RESEARCH (ICTP-EAIFR), RWANDA 2021 – PRESENT Apprenticeship: Machine Learning for Electronic Structure & Molecular Dynamics

Excelled in machine learning for electronic structure and molecular dynamics training.

Conducted data mining and material design from material databases.

Performed machine learning prediction of material properties for photovoltaic application.

Generated models for semiconductor band gap prediction in large datasets using ML. MIT- INSTITUTE FOR DATA, SYSTEMS, & SOCIETY (IDSS), UNITED STATES 2023 Trainee – Data Science & Machine Learning Program: Making Data-Driven Decisions

Developed machine learning projects using the various algorithms including Logistic Regression, Decision Trees, Random Forest, K-means, Principal Component Analysis, Convolutional Neural Networks and Generative Adversarial Networks.

Analyzed large datasets for life sciences, business, medical and customer experience enhancement.

Analyzed data from a bacterium genomic sequence identifying useful genes versus noise.

Created a system for recommending Amazon products based on past rating data.

Developed a potential customer prediction ML algorithm for lead conversion. PAUL NGUMBI, P H . D .

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PROFESSIONAL SYNOPSIS

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SOUTH EASTERN KENYA UNIVERSITY, KENYA 2010 – 2023

Lecturer (2021 – 2023)

Created and reviewed undergraduate and graduate courses in Physics and Electronics.

Optimized academic success by managing student projects.

Served as a member of the university’s Website Management Committee.

Seamlessly linked students with key industries for industrial attachment. Assistant Lecturer (2010 – 2021)

Served as a chairman of department facilitating smooth running of the departmental processes.

Built an engaging classroom by developing and delivering thought-provoking lectures and lessons for online and in-person courses.

Managed critical laboratory operations and designed course experiments.

Served as a member of the Faculty Quality Assurance Committee.

Designed Bachelor of Science (Electronics), Bachelor of Science (Physics) and Master of Science

(Physics) programs.

Coordinated departmental and faculty time-table and examinations processing. EDUCATION

Ph.D., Physics (Solar Energy Materials) JOMO KENYATTA UNIVERSITY OF AGRICULTURE & TECHNOLOGY

(2015 – 2021)

M.S., Physics (Electronics & Instrumentation) JOMO KENYATTA UNIVERSITY OF AGRICULTURE & TECHNOLOGY (2005 – 2009)

Bachelor of Education (Physics & Mathematics) EGERTON UNIVERSITY (1999 – 2005) PROFESSIONAL DEVELOPMENT

Molecular Modeling for Materials Science Applications Schrödinger (January-February, 2024)

In-depth training in application of Schrodinger software in materials modeling CHPC & NITheCS Coding Summer School South Africa (January-February, 2024)

Participated in a rigorous workshop on Coding and High Performance Computing. Certificate in Deep Learning Coursera (July, 2022 – December, 2023)

Awarded a deep learning Specialization Badge. Verify: https://www.credly.com/go/8YYhTDKd Advanced Statistics and Experimental Design, R-Programming RUFORUM (August, 2023)

In-depth training in advanced statistics, experimental design, and R-Programming. SQL Projects Training Great Learning (July, 2023)

Acquired hands-on experience in implementing SQL projects and managing databases. Tableau Visualization Workshop Great Learning (July, 2023)

Developed proficiency in creating insightful visualizations using Tableau. Certificate in Using MATLAB with Python MathWorks, MATLAB EXPO 2023 (May, 2023)

Certified in using MATLAB with Python, Algorithm Development and Data Analysis. Cloud Computing 101 Certification Coursera (August, 2022)

Acquired practical knowledge and skills in cloud computing technologies. Young Researchers’ Workshop on Machine Learning for Materials ICTP, Trieste, Italy (May, 2022)

Participated in a rigorous workshop on machine learning for materials. FAIRmat Hands-on Tutorial on Publishing and Exploring Data with NOMAD (Virtual) (February, 2022)

Engaged in a hands-on tutorial on publishing and exploring data with NOMAD. COMMUNITY SERVICE

Secretary, St. Lucy Small Christian Community, Joseph Mukasa Catholic Church, Kenya (2022 – 2023)

Member, Board of Management, Mbonzuki High School, Kenya (2017 – 2019)

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