KALEB SHIKUR

*** ******** **** ******, **********, VA 22304

703-***-**** ~ admtpx@r.postjobfree.com

LinkedIn – Kaleb Shikur Git – hub - kalebshikur

EDUCATION

University of Virginia May 2021

Master of Science Data Science GPA: 4.0

Virginia Commonwealth University Dec 2018

Bachelor of Science Financial Engineering

Minors – Mathematics and Statistics GPA: 3.93

Northern Virginia Community College Aug 2016

Computer Engineering - Pursued Studies in Financial Engineering GPA: 3.90 RELEVANT ACADEMIC PROJECTS @ VCU

Uncertainty Analysis in Voter Turnout – the case of Senegal

Implemented different Bayesian machine learning techniques such as Bayesian logistic regression and hierarchical models.

Worked with a large data set to clean data, perform feature engineering, model building and uncertainty analysis. Data analysis of wine data from northern Portugal

Regress data analysis and data visualization using R

Built a descriptive and predictive model using simple linear regression, multiple linear regression, and logistic regression. KNN Model – To identify color pallets in an Image.

Built a classification model with KNN model to identify color pallets in images and paintings.

Used both R and python to build a model that can take any painting or picture and identify its main color palettes. DNN Model – To predict Driver injury severity.

Built a DNN model that makes prediction on the severity of driver injury in a traffic accident.

Used TensorFlow and Keras to build a DNN model, train it and deploy it on the cloud. Fundamental and Risk Analysis – Insurance Industry

Made a holistic financial research and conducted fundamental and technical analysis on insurance company (Travelers.)

Made a risk analysis using an excel plugin (@risk) by running simulations and building models. EXPERIENCE

CenturyLink, Financial Data Analyst, March 2019 – Nov-2020

Worked with large financial and pricing data to build different models and Run several simulations

Utilized my advanced excel skills to manipulate financial data and aid the proposal group to make decisions.

Worked across several departments (Sales engineer, sales Architect, Product, Proposal) harmoniously. LMI, Data science capstone, Sep 2020 – May-2021

Worked on Natural Language processing project to build a ML model that can classify comments into different classes

I used python and AWS Elastic Search to build a tool that can match public comments and specific places in a document. Revature, Software engineering trainee, Jan 2020 – March 2020

Learned full stack Java development and other hard and soft skills that are important for a software engineer

Worked on several full stack projects such as console-based banking application and full stack web application

used skills and platforms such as Java, Java Script, SQL, html, CSS, bootstrap, spring framework EMPLOYMENT

Amazon.com and Papa Johns

Independent Contractor

Obtained knowledge on complex logistics, fulfilment and delivery system of amazon.com.

Customer service, handled cash, credit card transactions accurately and efficiently in a busy business environment. TECHNICAL SKILLS

Analysis

R (Data analysis, Quantitative analysis, Machine learning, Data mining) and Python (Data Mining, Reporting, ML).

Microsoft Suite, Ms Excel (Mathematical and Financial modeling) and MySQL, AWS Elasticsearch, AWS cloud practitioner (Certified), AWS data analytics, Tableau Programing

CS5, C++, C#, Java, Python, Java script, Html, CSS, OOP, spring boot, JSP servlet, Language - English (Fluent) and Amharic (Native)