J UserJU
Open to opportunities

J User

@juser4

Interdisciplinary data scientist with a PhD in Machine Learning.

Kenya

What I'm looking for

I seek a role that fosters innovation and collaboration, allowing me to leverage my data science skills to drive impactful projects.

I am an interdisciplinary data scientist with a PhD in Machine Learning, dedicated to combining my expertise in applied research and algorithmic innovation to drive impactful projects. My experience spans diverse contexts, from large-scale geospatial modeling to telematics-based driver risk analysis, showcasing my ability to lead projects from inception to completion.

As the Co-founder and CTO of AiCare Telematics, I spearheaded the development of a real-time tracking dashboard and a GPS-based driver scoring engine. My leadership in national-scale data science projects has resulted in significant insights, such as identifying overspeed trends and mapping high-risk zones, which have informed insurer scoring models and enhanced road safety.

In addition to my technical skills in Python, SQL, and various machine learning frameworks, I have a strong foundation in civil engineering and architecture, which complements my data science expertise. I am passionate about leveraging data to solve complex problems and contribute to innovative solutions that make a difference.

Experience

Work history, roles, and key accomplishments

SS
Current

Team Leader – Machine Learning

SIMRIS, University of Seville

Jan 2022 - Apr 2024 (2 years 3 months)

Developed a Variational Autoencoder for building typology extraction and automated structural model generation for seismic analysis, achieving significant speed improvements in city-scale risk simulations.

AT

Co-founder & CTO

AiCare Telematics

Jan 2020 - Apr 2023 (3 years 3 months)

Led the development of a real-time tracking dashboard and a GPS-based driver scoring engine. Directed national-scale data science projects, including speed mapping and road risk analytics, resulting in significant insights for driver safety and risk management.

PS

Research Assistant – Machine Learning

PERSISTAH, University of Seville

Sep 2018 - Sep 2019 (1 year)

Trained a neural network to predict the seismic response of reinforced concrete buildings, achieving high accuracy and generating synthetic structural models for analysis.

S(

Data Visualization Consultant

SELFIE, European Commission (JRC)

Sep 2018 - Sep 2018 (0 months)

Designed dashboard visualizations for an EU-wide education readiness tool, utilized across European schools for policy and institutional reporting.

Education

Degrees, certifications, and relevant coursework

University of Seville logoUS

University of Seville

PhD in Artificial Intelligence, Artificial Intelligence

2022 - 2024

Built a Variational Autoencoder (VAE) to extract building typologies from ~1M cadastral records. Automated structural model generation for nonlinear seismic analysis using OpenSees for ~4k buildings.

University of Seville logoUS

University of Seville

Master of Engineering, Machine Learning

2018 - 2019

Trained a neural network to predict seismic response of RC buildings; achieved accuracy 97.65% predicting stress-deformation curves. Generated 12k+ synthetic structural models and automated SAP2000 nonlinear analyses.

Architectural Association logoAA

Architectural Association

Postgraduate Studies in Computation & Architecture, Architecture

Postgraduate studies focused on Computation & Architecture, ranked top 10 worldwide.

University of Seville logoUS

University of Seville

MEng Civil Engineering, Civil Engineering

Tech stack

Software and tools used professionally

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J User - Team Leader – Machine Learning - SIMRIS, University of Seville | Himalayas