ModeLogic

Data Scientist

https://talent.gravityer.com/modelogic

Build stuff with purpose

Member since June 24, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'colab_filter' (Collaborative filtering) and 'cnn-autoencoder'.
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.
Exposure to AWS services and infrastructure as code (Terraform), which can be beneficial for deploying data science models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong inclination towards self-learning and exploration across various technical domains, including data science, cloud infrastructure, and web development. This indicates a proactive and curious mindset. However, the projects lack diversity in terms of team collaboration or real-world business impact, which are important aspects of cultural fit in many organizations. The focus on personal projects suggests a potential fit for roles that value independent problem-solving and continuous learning.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

AWS-GeoPlaces-MCP-Server

May 7, 2025 – July 17, 2025

MCP server to directly access AWS location services using the GeoPlaces API, provides direct geocoding or reverse-geocoding capabilities like Google Maps API

View Project

iam-policy-generator-chatbot

May 5, 2025 – May 22, 2025

Produce Minimum Viable Permissions or Principle of Least Privilege (POLP) for AWS IAM Policies based on given prompt through command cli or chatbot

View Project

litestar-login

June 2, 2024 – June 2, 2024

Create a simple login page using the Litestar framework

View Project

streamlit-tapas

May 6, 2024 – May 7, 2024

Streamlit TAPAS question answering application

View Project

k3d-starting-template

May 16, 2023 – May 23, 2023

Short intro to K3d. Spin up a kubernetes cluster on your local machine or VM in minutes, using the command, template or terraform deployment!

View Project

terraform_localstack

May 10, 2023 – May 16, 2023

terraform_localstack — repository

View Project

terraform-lambda

May 9, 2023 – May 9, 2023

terraform-lambda — repository

View Project

emnist-letter-csv-png

June 6, 2020 – June 6, 2020

Processing emnist-letter data into png formats and csv mapping

View Project

cnn-autoencoder

March 6, 2020 – June 9, 2020

Code to train and run a cnn-autoencoder

View Project

colab_filter

December 26, 2019 – December 26, 2019

Collaborative filtering with FastAi using EmbeddingDotBias and EmbeddingNN models

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'colab_filter' (Collaborative filtering) and 'cnn-autoencoder'.
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.
Exposure to AWS services and infrastructure as code (Terraform), which can be beneficial for deploying data science models.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

ModeLogic

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit