Mikhail Ethan Ram

Data Scientist

https://talent.gravityer.com/mikhail-ethan-ram

Member since June 25, 2026

Key Strengths

Demonstrated interest in machine learning and neural networks through personal projects like 'neuralnet', 'nanograd', and 'lynx'.
Practical application of computer vision with YOLOv8 for 'FootballAnalysis' project, indicating hands-on experience with relevant data science tools.
Proficiency in functional programming (Haskell) and systems programming (Rust), suggesting strong foundational programming skills.
Experience in building programming languages and parsers ('warp', 'lynx', 'JsonParser'), which can be beneficial for understanding complex data processing pipelines.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are exclusively personal and heavily focused on programming language development and functional programming, with some ventures into machine learning. While this demonstrates strong technical curiosity and initiative, there is no information regarding collaboration, team environments, or alignment with typical corporate cultural values. The target role is 'Data Scientist', and while there are relevant ML projects, the overall project portfolio is very diverse, making it difficult to assess direct cultural fit without more context on team dynamics or work style preferences.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

nanograd

November 20, 2025 – December 21, 2025

Neural networks from scratch in Haskell.

View Project

FootballAnalysis

November 17, 2024 – November 28, 2025

System to track player stats (distance, speed, possession) from video using YOLOv8 fine-tuned on the Football Players Detection dataset (players, referee, ball).

View Project

cleo

January 25, 2023 – May 13, 2024

A smart terminal assistant.

View Project

warp

September 2, 2022 – September 2, 2022

Warp is a modern, easy-to-use programming language.

View Project

JsonParser

September 2, 2022 – September 2, 2022

A simple JSON parser written in Haskell.

View Project

mikhail-ram

August 30, 2022 – September 2, 2022

Config files for my GitHub profile.

View Project

neuralnet

December 27, 2021 – September 2, 2022

Easy neural networks in Haskell.

View Project

bananatype

November 7, 2021 – May 11, 2023

A terminal-based typing test, inspired by https://monkeytype.com.

View Project

rux

June 11, 2021 – June 18, 2021

Rux is an efficient 2D matrix manipulation library built in Rust. It is still a work in progress.

View Project

lynx

December 14, 2020 – June 5, 2021

Lynx is a programming language that aims to make machine learning easy and intuitive. It is still a work in progress.

View Project

Key Strengths

Demonstrated interest in machine learning and neural networks through personal projects like 'neuralnet', 'nanograd', and 'lynx'.
Practical application of computer vision with YOLOv8 for 'FootballAnalysis' project, indicating hands-on experience with relevant data science tools.
Proficiency in functional programming (Haskell) and systems programming (Rust), suggesting strong foundational programming skills.
Experience in building programming languages and parsers ('warp', 'lynx', 'JsonParser'), which can be beneficial for understanding complex data processing pipelines.

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 are available.

Mikhail Ethan Ram

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit