Consultant & Coach
- Centre for Business Analytics, BGSU; Bowling Green, OH Jan – May 2016
- I had applied text analytics and evaluation analytics on the first task that I received
from client. This task was followed by providing Multivariate Multiple Linear
Regression Analysis for other client to do predictive analytics. On the most recent
one, I had applied Path Analysis in combination with Multivariate Analysis of
Variance (MANOVA) to meet the objectives that our client were having.
- Maths and Stat Coaching Center, BGSU; Bowling Green, OH August 2014 – May 2016
- Coaching Business College students who struggle with Mathematics and Statistics
(Center Coordinator Jan-May 2016)
Business Analyst
- Eastman Chemical Company, Kingsport, TN May 2015 – August 2015
- Applied advanced predictive analytics including classification, rare observation
detection using local outlier factor and Z-score for supporting the audit team.
- Prepared interactive platform for each reports using an open source data visualization
tool, R Shiny.
- Training an open source R package for selected Auditors
- Attended webinars and Seminars on Data Visualization
Department Head of Statistics Program
Hawassa University, Hawassa, Ethiopia July 2013 - July 2014
- Had used Advanced Analytics to evaluate the Modular Curriculum Implementation in
Hawassa University: with a focus on Intentions, Practices, Challenges and
Opportunities.
- Worked on Statistical Analysis of Risk Factors Causing Road Traffic Accidents in
Ethiopia, The Case of Addis Ababa - Hawassa High-way Drivers.
- Administered and Coordinated students and staff members
- Coordinated Statistical package trainings across the region
Assistant Coordinator of Mathematical and Statistical Modeling Project
Hawassa University, Hawassa, Ethiopia Sept. 2010 - July 2014
- Collaborated with Professors from NTNU and University of Oslo
- Coordinated MSc in Mathematical and Statistical Modeling students
- Trained Master students Latex, Beamer and R software
SKILLS¶
- Statistical Modelling (e.g Generalized Linear Models, Stochastic Models(e.g Markov Chain, Queue Theory and more), Time Series Analysis, MANOVA and lot more )
- Data Mining (e.g Decision Tree, Random Forest, Cluster and Classification algorithms, and lot more)
- Linear and Integer Programming(Allocation, Blending, Scheduling and lot more)
- Statistical Packages expert level (R, SAS, SPSS, MINITAB and STATA)
- Data wrangling and cleansing, Data visualization and Predictive Analytics using R
- Unstructured data (Text) Analytics
- Data Visualization using TABLEAU
- Data Visualization using Power BI
- Relational Database Operation and SQL
- Basic skill Level
- SAS Visualization
- Python
- jupyter notebook
- Notepad++
- HTML5
AWARDS & HONORS¶
- WINNER of James A. Sullivan Award
By Department of Applied Statistics and Operation Research at BGSU in recognition for
superior scholarship and demonstrated participation, leadership and service to the Department
and the professions of Statistics and operations research, May 2016.
- WINNER of 2015 BGSU Business Analytics Case Competition
- Over 37,000 bank client’s information analysed during whole summer 2015 beginning
April.
- Applied 5 Statistical and Machine learning models to predict potential subscribers.
- Applied kmean clustering to do Market Segmentation for marketing campaign.
- Nominated to be among the top 3 to present at the
‘2015 Best Practices in Business Analytics Symposium in October 2015 at BGSU’
and finally won the competition.
- Master’s degree CGPA 3.85
PUBLICATION¶
Endale B Altaye, (2012). “Approximate Recursive algorithm for finding MAP of binary
Markov random fields,” Proceeding of the 8th World Congress in Probability and Statistics,
Istanbul, Turkey