dodgervl

Data Scientist

https://talent.gravityer.com/dodgervl

Member since June 27, 2026

Key Strengths

Strong foundational knowledge in Python for data science and machine learning, evidenced by numerous personal projects.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to advanced topics like AutoML, natural language processing (CS224n), and computer vision (CS231n) through personal projects.
Demonstrated interest in quantitative finance/trading strategies (MLTraderToolbox, BFML).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards self-directed learning and exploration of diverse technical areas, including blockchain (solana-multi-token-otc, limit-order-sdk-py) and general data science. This indicates a proactive and curious mindset. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

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

TranscribAI

May 16, 2025 – June 15, 2025

Coolest transcriber at most convenient location - telegram bot

View Project

limit-order-sdk-py

April 9, 2024 – January 19, 2025

1inch Limit Order Protocol v4 SDK Python

View Project

solana-multi-token-otc

January 6, 2022 – January 16, 2022

Solana OTC contract which allow multi tokens exchange

View Project

jobs_article

March 8, 2021 – March 16, 2023

Analysis of vacancies and salaries in Data Science according to ODS chat

View Project

automl

May 20, 2020 – June 22, 2022

automl — GitHub repository

View Project

StepicDataStructures

June 7, 2019 – June 7, 2019

https://stepik.org/lesson/41234/

View Project

CS231n

May 9, 2019 – May 18, 2019

http://cs231n.github.io/

View Project

CS224n

April 13, 2019 – May 9, 2019

http://web.stanford.edu/class/cs224n/

View Project

MLTraderToolbox

February 22, 2019 – January 31, 2021

Tool to design trading strategies, utilizing machine learning

View Project

BFML

February 18, 2019 – February 18, 2019

Bloomber Foundations of ML

View Project

Key Strengths

Strong foundational knowledge in Python for data science and machine learning, evidenced by numerous personal projects.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to advanced topics like AutoML, natural language processing (CS224n), and computer vision (CS231n) through personal projects.
Demonstrated interest in quantitative finance/trading strategies (MLTraderToolbox, BFML).

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.

dodgervl

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit