Please ensure Javascript is enabled for purposes of website accessibility Profile - Mr. Timothy Mutunga
Back
Upload

Mr. Timothy Mutunga

OffLine
Staff Information
PERSONAL DETAILS
Designation
TUTORIAL FELLOW
Corporate Email
This email address is being protected from spambots. You need JavaScript enabled to view it.
Job Category
Teaching
Division / Faculty
Faculty of Science
Directorate / Dept
DEPT. OF MATHEMATICS
Section
Statistics
SUMMARY

A data nerd with solid Programming, Mathematical, Statistical and Machine learning theory and 5+ years of experience in teaching and scientific research,  exploratory data analysis, data mining, predictive modeling, and algorithm optimization. A curious researcher in Statistical optimization in Machine (Deep) learning and its advancements in Natural Language Processing and Computer Vision.

ACADEMIC QUALIFICATIONS

2018-Present: PhD. Statistics - Egerton University, Kenya

Research Title: "Feature Selection in Over-Dispersed Supervised Machine Learning Models Based on Penalized Estimating Functions"

2012-2015: MSc. Statistics - Egerton University, Kenya

Thesis Title: "Parameter Estimation of the Asymmetric GARCH models using Estimating Functions"

2014-2014: MSc. Statistics - Universität Trier, Germany (Research Stay)

Thesis Title: "Parameter Estimation of the Asymmetric GARCH models using Estimating Functions"

2008-2012: BSc. Economics & Statistics - Egerton University, Kenya

 

 

FIELDS OF SPECIALIZATION
  • Statistical Learning
  • Machine Learning
  • Deep Learning
  • Applied Machine Learning in Natural Language Processing and Computer Vision
  • Data Querying and Mining 
  • Mathematical Statistics & Probability Theory
PROFESSIONAL QUALIFICATIONS
  1. Machine Learning Engineer & Reseacher 
  2. Consulting Statistician 

Programming Packages/Libraries:

Python:  Pandas, Numpy, SciPy, SciKit-Learn, StatsModels, Matplotlib, Seaborn,pyOpt, gradient-descent, LightGBM,XGBoost, CatBoost, PyTorch, Keras,Theano, TensorFlow, Apache MXNet ,OpenCV, NLTK, spaCy, Gensim, Pattern,CoreNLP

R:  data.table, tidyr, mlr3, Caret, Dplyr,ggplot2, Shiny, ROI

MATLAB

STATA

Data Visualization & Storytelling Softwares:

Tableau, R- Shiny, Microsoft Power BI, Flourish

Data Query Languages:

Microsoft SQL Server, MySQL

 

WORK EXPERIENCE

2018 - Present: Tutorial Fellow - Statistics, Department of Mathematics.

Egerton University, Kenya.

2015-2018: Graduate Assistant - Statistics, Department of Mathematics.

 Egerton Univerty, Kenya.

 

KEY PROJECTS
  1. Consultant in Data Analytics and Machine Learning: Leveraging Data Science tools for operational efficiency at Aptic Credit Ltd: Nov 2019 - Aug 2020.
  2. Lead Consultant and Trainer in Data Analytics: County Government of Mandera Baseline Survey. Department of Economic Planning and Statistics: April 2019 - Present.
  3. Lead Consultant in Data Analytics: Turkana Girls Mentorship Project, Phase 1: Jan-June, 2018.Phase 2: Sept – Dec 2018. A Research Project by Zizi Afrique Foundation, Kenya.
  4. Data Analyst and Co-Research Consultant: Germany Alumni Status Survey in Kenya, Aug-Dec,2016. The Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH (GIZ), Kenya.
RESEARCH INTERESTS
  • Statistical Learning
  • Machine Learning  
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Nonconvex Optimization
  • High-Dimensional Statistics
  • Estimating Functions Theory
  • Big Data Analysis
  • Data Science
  • Mathematical Statistics and ProbabilityTheory
LIST OF PUBLICATIONS
  1. Regression approach to parameter estimation of an exponential software reliability model, AmericanJournal of Theoretical and Applied Statistics, (2016).
  2. Estimation of Asymmetric GARCH Models: The Estimating Functions Approach, International Journal Estimation of Asymmetric GARCH Models: The Estimating Functions Approach, International Journalof Applied Science and Technology, (2014).
  3. Implementation of the Estimating Function Approach in Asset Returns Volatility Forecasting Using First Order Asymmetric GARCH Models, Open Journal of Statistics, (2015).
  4. The Efficiency Benefits of the Estimating Functions Approach in Estimation of First OrderAsymmetric GARCH Models: American Journal of Theoretical and Applied Statistics, (Forthcoming).
CONFERENCES & INVITED PRESENTATIONS
  1. Attended the University of Bristol and Strathmore University Data Science Week 2019,Strathmore University, July 2019.
  2. Attended the first Kenyatta university workshop on mathematical modelling, 2013 at Kenyattauniversity, Nairobi, Kenya, 17 – 21 June. Theme: enhancing mathematical modelling for researchand development.
  3. Attended a seminar organized by the Dean’s office, Faculty of Science, Egerton University on 4thJune 2013. Theme: Masters of Science proposal writing.
  4. Attended a public talk on “Transforming Kenya through productivity and competitiveness.” by National Economic and Social Council held on 23rd September 2011.
HONORS, PRIZE AND AWARDS
  1. Awarded with a DAAD short – term research visit scholarship to Germany for my MSc. Statistics Awarded with a DAAD short – term research visit scholarship to Germany for my MSc. Statisticsprogram, from 1st May 2014 to 31st July 2014.
  2. Awarded with a partial scholarship by the African Mathematics Millennium Science Initiative (AMMSI) for my MSc. Statistics program, on 4th October 2013.
  3. Awarded with a one year DAAD In-Country- Scholarship for my MSc. Statistics program, on 19th August 2013.
  4. Awarded with a Certificate of Recognition for Excellent Academic Performance and being in the Vice Chancellors List of Honour, presented during the 27th Graduation Ceremony.
  5. Awarded with a Certificate of Achievement for Excellent Academic Performance and being in the Dean’s List of Honour in the Academic year 2010/2011, on 30th January 2012.
  6. Awarded with a Certificate of Achievement for Excellent Academic Performance and being in the Dean’s List of Honour in the Academic year 2009/2010, on 29th April 2011.
  7. Awarded with a Certificate of Achievement for Excellent Academic Performance and being in the Dean’s List of Honour in the Academic year 2008/2009, on 30th January 2010.
TEACHING AREAS
  • Mathematical Statistics & Probability Theory
  • Applied Statistics
  • Statistical Programming
  • Basic Mathematics
Copyright © 2024 Egerton University
"Transforming Lives through Quality Education"