Summary
Overview
Work History
Education
Skills
Websites
Projects
Languages
Work Availability
Timeline
Hi, I’m

Ebei Sylvester Koloi

Debrecen
There is a powerful driving force inside every human being that, once unleashed, can make any vision, dream, or desire a reality.
Tony Robbins
Ebei Sylvester Koloi

Summary

A meticulous data scientist is accomplished at compiling, transforming, and analyzing complex information through software. Expert in machine learning and large dataset management.


Demonstrated success in identifying relationships and building solutions to business problems.Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.


Organized and dependable candidate, successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

Overview

6
years of professional experience

Work History

Intelligence Media
Debrecen

Machine Learning Data Associate
08.2023 - Current

Job overview

Help businesses simplify their operations, increase efficiency, and maximize productivity. Specializes in automating lead generation, implementing chatbot and artificial intelligence solutions, and streamlining repetitive tasks to minimize human error and save time.

Accomplishments:

  • Designed and developed highly scalable database structures in support of business process automation
  • Gathered and documented requirements from the analytics team to store all the fields and variables required for analysis and modeling purposes
  • Prototyped machine learning applications and quickly determined their viability.
  • Created customized applications to make critical predictions, automate reasoning and decisions, and calculate optimization algorithms.
  • Developed advanced graphic visualization concepts to map and simplify the analysis of heavily numeric data and reports.
  • Developed and generated analytical reports to track the results of marketing initiatives and campaigns.

inSupply Health Limited

Supply Chain Analyst
02.2019 - 09.2021

Job overview

Conduct data mining, data modeling, statistical analysis, business intelligence gathering, trending, and benchmarking. Data analytics supports decisions for high-priority enterprise initiatives involving IT/product development, customer service improvement, organizational realignment and process reengineering

Accomplishments:

  • Built comprehensive inventory systems to track current supply chain of essential drugs at the last mile (hard to reach areas) in Northern Kenya using cStock application (Telemedicine app )
  • Suggested improvements to cut costs and improve the supply chain process include incorporating asset utilization, performance measurement, and outsourcing approaches.
  • Utilized statistical software such as Excel and R to conduct thorough data analysis, producing actionable insights that informed decision-making and resulted in a 10% increase in project effectiveness
  • Implemented innovative data validation techniques to identify and rectify errors in the collected data, resulting in a 15% reduction in data discrepancies
  • Supports and collaborates with colleagues on activity-level and project-wide monitoring and evaluation efforts, ensuring quality and consistency Actively monitors program dashboards and supports monitoring of Key Performance Indicators (KPIs)
  • Identifies and escalates bottlenecks and potential issues for implementation
  • Collaborated with project leads and team members to provide comprehensive technical support for over 400 cStock (Telemedicine app) users, resulting in a 20% increase in user satisfaction
  • Identified and analyzed user feedback patterns, compiled the data into a comprehensive spreadsheet, and provided actionable insights to inform decision-making processes, resulting in an overall increase in reporting accuracy of over 5% in just 6 months.


National Health Insurance Fund

Actuarial Development Program Intern
06.2017 - 11.2017

Job overview

Used quantitative data gathered to develop an understanding of customer behavior, demographics, and lifecycle. Presented data that helped guide the decisions of the company.

Accomplishments:

  • Provided assignments and completed projects in financial reporting, rate-making, reinsurance, research, reserving, and underwriting.
  • Completed research, compiled data, updated spreadsheets, and produced timely reports.
  • Performed actuarial tasks of a mathematical nature
  • Compiled and categorized data
  • Documented and verified the factors used in computations
  • Prepared rate filings, schedules of statistics, and financial statements
  • Assisted in the determination of premiums, benefits, and pricing levels
  • Gained knowledge about company operations, systems, and actuarial methodologies.
  • Sorted and organized files, spreadsheets, and reports.

Education

University of Debrecen
Debrecen, Hungary

Master of Science from Applied Mathematics
07.2023

University Overview

Course Work:

Financial Mathematics, Actuarial Mathematics, Introduction to Finance, Economics (Micro and Macro), Time Series, Corporate Finance, Graph Theory and its Applications, Algorithms in Mathematics (Tools: Python Programming), Convex Optimization, Discrete Optimization, Stochastic Processes, Calculus, Multivariate Analysis (Tools: R Programming), Econometrics, International Financial Accounting, and Game Theory

University of Kabianga
Kericho, Kenya

Bachelor of Science in Applied Mathematics
12.2018

Skills

  • Analytical Skills
  • Time Series
  • Monte Carlo Simulation
  • Machine Learning (ML)
  • R and Python programming
  • Structured Query Language (SQL)
  • Artificial Intelligence (AI)
  • Quantitative Methods
  • Data Warehousing
  • Advanced Data Mining
  • Business Intelligence (BI)
  • Data Structures
  • Regression Analysis
  • Data Visualization
  • Data Technologies
  • Data Science Research Methods
  • Research Data Management
  • Statistical Computing Methods
  • Experimental Design & Analysis
  • Analytical and Critical Thinking
  • Google Workspace
  • Decision-Making
  • Good Telephone Etiquette
  • Attention to Detail
  • Cultural Awareness

Projects

  • A Multivariate Analysis of Airline Delays in Philadelphia
  • Multiple Regression Project on Quality Control
  • Capital market theories and their empirical testing;Mean Variance Optimization and Capital Market Asset Pricing Model (CAPM)

Languages

Swahili
Native language
English
Proficient
C2
Hungarian
Beginner
A1
German
Beginner
A1
Availability
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Timeline

Machine Learning Data Associate

Intelligence Media
08.2023 - Current

Supply Chain Analyst

inSupply Health Limited
02.2019 - 09.2021

Actuarial Development Program Intern

National Health Insurance Fund
06.2017 - 11.2017

University of Debrecen

Master of Science from Applied Mathematics

University of Kabianga

Bachelor of Science in Applied Mathematics
Ebei Sylvester Koloi