Daniel Yehdego, PhD's Email Addresses & Phone Numbers

- Marketing Data analytics and research, Predictive modeling, multi-channel analytics and market segmentation strategy. - Recommendation Engine model development. - Data Mining techniques for Imbalanced Datasets - New probabilistic models and distributed computational techniques to establish new approaches to computationally intensive problems. - Advanced knowledge of statistical models and Data mining techniques. Extensively used statistical software packages...

- Marketing Data analytics and research, Predictive modeling, multi-channel analytics and market segmentation strategy. - Recommendation Engine model development. - Data Mining techniques for Imbalanced Datasets - New probabilistic models and distributed computational techniques to establish new approaches to computationally intensive problems. - Advanced knowledge of statistical models and Data mining techniques. Extensively used statistical software packages (SAS, R, SPSS), ANOVA, GLM, Logistic, Poisson, Mixed models, longitudinal data analysis, categorical data analysis, and statistical learning. - Big Data Marketing analysis: Exploratory data analysis (EDA), Cluster Analysis, PCA, MDS, Factor Analysis. - Proficient in Hadoop MapReduce, Oracle PL/SQL, WPS, Alteryx, Cognos analytics application,Data Scientist @ * Works in areas such as machine learning, predictive modelling, and optimization applied to massive amounts of data using cutting edge software technologies including SQL, NoSQL, Python, MapReduce- Hadoop, HIVE, SAS, R, and machine learning approaches. From January 2015 to Present (1 year) Data Science, Customer Insight @ * Consumer Insight & Marketing Data analytics and research, Predictive modelling, multi-channel analytics, market segmentation strategy and experience in Customer Loyalty (CRM) * Quantitative research in manipulating and analyzing complex, high-volume, high-dimensionality data from varying data warehouse sources From January 2014 to January 2015 (1 year 1 month) Research Associate and Data Analyst @ • Working on different areas of research pertaining to computational biology and statistical probability models, development of new probabilistic models (e.g., excursions) and distributed computing techniques to establish new approaches to computationally intensive problems stemming from bio-molecular sequence and structure analyses (Problem of interest was long RNA structure prediction). From December 2007 to December 2013 (6 years 1 month) El Paso, Texas AreaPhysics Instructor @ Instructor for the courses: "Principles of Physics", and "College Algebra" for a Physical Therapy Assistant students at Western Technical College. From May 2010 to August 2012 (2 years 4 months) El Paso, Texas AreaResearch Intern - Global Computing Lab @ * Used Hadoop MapReduce paradigm to parallelize big data and developed predictive modelling. From June 2011 to September 2011 (4 months) Teaching assistant @ Taught a laboratory class for the courses “Fields and waves” and “Mechanics” for six semesters. From January 2008 to December 2009 (2 years) El Paso, Texas AreaGraduate teaching assistant @ Taught physics and math undergraduate courses including: Mechanics and Heat I & II, Electricity, Magnetism and Optics I & II, Modern Physics, Classical Mechanics, College Algebra I & II and Calculus I & II. Supervised 150 student-teachers from the University of Asmara who are assigned to different secondary schools in Asmara as part of their teaching practice course. Participated in developing a curriculum for the course “Instructional Media” for Physics Education students. From August 2003 to September 2007 (4 years 2 months) Doctor of Philosophy (Ph.D.), Computational Science @ The University of Texas at El Paso From 2010 to 2013 Master of Science (MSc), Computational Science - Computational Biology Concentration @ The University of Texas at El Paso From 2010 to 2012 Master of Science (MSc), Physics @ The University of Texas at El Paso From 2008 to 2009 Bachelor of Science (BSc), Physics @ University of Asmara, Eritrea From 2000 to 2004 Daniel Yehdego, PhD is skilled in: R, Physics, Hadoop, Vertica, Computational Biology, SAS, Bioinformatics, Matlab, SQL, PL/SQL, LaTeX, Molecular Biology, Algorithms, Perl, Mathematica