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Vincent Langat

@vincentlangat

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Skilled Data Scientist specializing in machine learning and data analytics.

Kenya

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What I'm looking for

I seek a collaborative environment that fosters innovation and growth, focusing on impactful data-driven projects.

I am a highly skilled Data Scientist with a robust background in machine learning, data analytics, and predictive modeling. Currently, I drive innovation at Moneza Kenya, where I specialize in fraud detection and credit scoring. My expertise lies in transforming complex datasets into actionable insights, enhancing operational efficiency across diverse sectors such as fintech, healthcare, and agri-tech.

Throughout my career, I have developed and deployed machine learning models that streamline decision-making processes and mitigate risks. Notable achievements include creating a fraud detection model and an automated reporting system that significantly improved operational visibility. My passion for leveraging advanced analytics to optimize business growth drives my commitment to delivering data-driven solutions that empower organizations to thrive in a competitive landscape.

Experience

Work history, roles, and key accomplishments

Graduate Research Assistant

The Cyprus Institute

Oct 2020 - Dec 2022 (2 years 2 months)

Focused on developing machine learning algorithms for air quality forecasting and sensor data optimization. Led collaborations and managed data analysis to improve monitoring capabilities.

Machine Learning Air Quality Forecasting Data Analysis Collaboration Statistical Techniques Sensor Data Project Management Data Quality Research

Research and Data Analyst

Finlays Kenya

Dec 2018 - Oct 2020 (1 year 10 months)

Collected and analyzed data to identify trends in tea sales and customer preferences. Developed predictive models for sales forecasting and communicated findings to stakeholders.

Data Collection Data Analysis Sales Forecasting Market Research Reporting Customer Insights Statistical Analysis Data Visualization

Education

Degrees, certifications, and relevant coursework

Stellenbosch University

PhD in Industrial Engineering and Engineering Management, Industrial Engineering and Engineering Management

2025 - 2028

Grade: 84%

Project: Leveraging Deep Learning and Transformer Models to Enhance Personalization, Fairness, and Contextual Understanding in Recommender Systems.

The Cyprus Institute

MPhil in Environmental Sciences, Environmental Sciences

2020 - 2022

Grade: 84%

Research focused on developing machine learning algorithms to forecast air quality and improve the accuracy of data collected from low-cost air quality sensors as part of the Horizon Europe 2020-funded EMME-CARE project.