Team work
ENOCK ROTICH
Data Scientist
Nairobi
Summary
Meticulous Data Scientist accomplished in 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. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.
Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Machine Learning and AI.
Overview
2
2
Certifications
2
2
Languages
Work History
Data Scientist
Serenity Space
01.2024 - 04.2024
- Optimized business processes for increased efficiency through detailed data analysis and visualization tools.
- Streamlined data collection methods to minimize analysis errors.
- Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to the organization''s strategic goals.
- Implemented advanced statistical techniques for accurate predictive modeling and forecasting of business metrics.
- Conducted feature engineering efforts to enhance model performance by creating new relevant variables from raw input data sources.
- Cleaned transformed, and analyzed large datasets to uncover hidden trends and patterns for actionable insights.
- Set up SQL database on cloud servers to store client data for query analysis.
- Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
- Built company A/B testing frameworks to test model quality.
- Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques.
- Analyzed large datasets to identify trends and patterns in customer behaviors.
- Modeled predictions with feature selection algorithms.
Education
Associate of Applied Science - Information Technology(IT)
KCA University
Nairobi, Ruaraka 04.2001 -
Associate of Applied Science - Applied Data Science
WorldQuant University
New Orleans, United State 04.2001 -
Skills
Intelligence Gathering
Data Mining
Data Visualization
Effective Communication
Problem-Solving
Business Forecasting
Statistical Analysis
Machine Learning
Python Programming
Database Management
Scikit-Learn
SQL Databases
Data Wrangling
Reinforcement Learning
Feature Engineering
Teamwork and Collaboration
Software
Time management
Problem solving
Certification
Data science job stimulation
Timeline
Data science job stimulation
04-2024
Aritificial intelligence Career essentials
04-2024
Data Scientist
Serenity Space
01.2024 - 04.2024
Associate of Applied Science - Information Technology(IT)
KCA University
04.2001 -
Associate of Applied Science - Applied Data Science
WorldQuant University
04.2001 -