Charles Nwodo

Data Scientist

https://talent.gravityer.com/charles-nwodo

Software Engineer

WaterlooMember since June 19, 2026

Key Strengths

Demonstrated interest in Data Science and AI through projects like 'chessAi' (Deep Reinforcement Learning) and 'EcommerceChatbot' (NLP Research).
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebooks for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a diverse range of interests, from web development (React, Flask) to game development (C++ CC3K) and AI/ML. This breadth suggests adaptability and a willingness to explore different technical domains. However, the direct alignment with a senior Data Scientist role is moderate, as many projects are not directly related to advanced data science methodologies or large-scale data systems. The personal nature of all projects indicates self-motivation but lacks evidence of team collaboration in a professional setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

SpeerRabbitMQ

May 11, 2021 – May 11, 2021

RabbitMQ tutorial

View Project

SpeerServer

May 10, 2021 – May 11, 2021

SpeerServer — GitHub repository

View Project

BridgitChallenge

April 21, 2021 – April 22, 2021

React Redux Application

View Project

BasicFlaskRestFulApi

March 29, 2021 – March 30, 2021

RESTFUL API working with SQLAlchemy

View Project

NotebookFiles

March 24, 2021 – March 24, 2021

NotebookFiles — GitHub repository

View Project

EcommerceChatbot

February 21, 2021 – April 16, 2021

NLP Research

View Project

Meta

January 2, 2021 – January 2, 2021

Web application that creates custom websites for business owners to help curate relevant digital media portfolio for advertising, networking and creating brand awareness with customers

View Project

chessAi

September 15, 2020 – October 21, 2020

Deep Reinforcement Learning with Monte Carlo Tree Search for Chess AI engine

View Project

CC3K

August 14, 2019 – May 7, 2023

A game of CC3k, consists of a board 79 columns wide and 30 rows high (5 rows are reserved for displaying information). Game play is as follows: The player character moves through a dungeon and slays enemies and collects treasure until reaching the end of the dungeon (where the end of the dungeon is the 5th floor). A dungeon consists of different floors which consist of chambers connected with passages. In our simplification, each floor will always consist of the same 5 chambers connected in the exact same way. CC3k differs from other rogue-likes in a significant way: it does not update the terminal/window in real-time but rather redraws all elements every turn (e.g. after every command). Many early rogue-likes were programmed in a similar fashion to CC3k.

View Project

Key Strengths

Demonstrated interest in Data Science and AI through projects like 'chessAi' (Deep Reinforcement Learning) and 'EcommerceChatbot' (NLP Research).
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebooks for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Charles Nwodo

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit