Olalekan Fuad Elesin

Data Scientist

https://talent.gravityer.com/olalekan-fuad-elesin

Engineer with a Heart for Art; AWS ML Hero

Berlin, Berlin, Germany

Key Strengths

Extensive experience with AWS services, particularly SageMaker, Step Functions, S3, and CloudFormation, which is highly relevant for a Data Scientist role involving MLOps and cloud infrastructure.
Strong background in AutoML frameworks (AutoGluon, SageMaker Autopilot) for tabular and image classification tasks.
Demonstrated ability to work with large language models (LLMs) for specialized tasks like financial reasoning.
Proficiency in Python, Jupyter Notebook, and Shell scripting, essential tools for data science and MLOps.
Experience with containerization (Dockerfile) for model deployment.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly personal and highly focused on AWS and machine learning, indicating a strong passion for the field. However, the lack of diverse team projects or professional experience makes it difficult to assess broader cultural fit. The projects show a strong inclination towards independent, research-oriented work.

Soft Skills & Operational Fit

The provided data does not include information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data for evaluation.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

code-researcher

July 12, 2025 – July 19, 2025

Deep Research Agent for Large Systems Code and Commit History inspired by a Microsoft White paper: https://arxiv.org/abs/2506.11060

View Project

finance-reasoning-model

March 22, 2025 – March 22, 2025

A large language model specifically designed for financial reasoning with a lightweight parameter scale of 7 billion.

View Project

querypal

December 30, 2020 – August 29, 2022

Web UI for Amazon Athena

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cd4automl-cloudformtion-resource

June 15, 2020 – June 21, 2020

CD4AutoML Cloudformation resource: deploy managed end-to-end AutoML workflow with Amazon Cloudformation

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sagemaker-autopilot-step-functions

May 23, 2020 – December 12, 2020

CD4AutoML: Continuous Delivery for AutoML with Amazon SageMaker Autopilot and Amazon Step Functions

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aws-samples

May 1, 2020 – February 6, 2025

This repository contains code for my Amazon Web Services (AWS) Tutorials

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autogluon-image-classification

March 7, 2020 – March 8, 2020

Deploy AutoML models for image classification on AWS Sagemaker with AutoGluon

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disease-finder-api

February 21, 2020 – March 7, 2020

Facebook AI Hackathon

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autogluon-tabular-sagemaker-container

February 8, 2020 – February 28, 2020

Deploy automl models for tabular tasks on AWS Sagemaker with AutoGluon

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project-matt

May 6, 2018 – May 25, 2018

Project Matt: Scan your AWS S3 Buckets for PII Data to Guard against GDPR

View Project

Key Strengths

Extensive experience with AWS services, particularly SageMaker, Step Functions, S3, and CloudFormation, which is highly relevant for a Data Scientist role involving MLOps and cloud infrastructure.
Strong background in AutoML frameworks (AutoGluon, SageMaker Autopilot) for tabular and image classification tasks.
Demonstrated ability to work with large language models (LLMs) for specialized tasks like financial reasoning.
Proficiency in Python, Jupyter Notebook, and Shell scripting, essential tools for data science and MLOps.
Experience with containerization (Dockerfile) for model deployment.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

The provided data does not include information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data for evaluation.

Olalekan Fuad Elesin

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit