Armand Cismaru

Data Scientist

https://talent.gravityer.com/armand-cismaru

MEng Computer Science graduate @ University of Bristol. Developer.

Member since June 27, 2026

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'DeepTraderX' and 'BSE-Trading-PRDE'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to distributed systems and concurrency ('distributed-lab-1', 'concurrency-lab-1') indicates a foundational understanding of scalable computing, relevant for large-scale data processing.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-driven learning and exploration in various technical domains, including data science, game development, and systems programming. This indicates a proactive and curious mindset, which can be a positive cultural fit for innovation-driven teams. The diversity of projects suggests adaptability and a willingness to tackle different challenges.

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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Projects

DeepTraderX

February 23, 2023 – Present

High-performing deep learning trader on a multithreaded financial exchange simulation.

View Project

BSE-Trading-PRDE

November 28, 2022 – January 6, 2023

Exploring and extending the PRDE trading strategy

View Project

casas-datascience

March 15, 2022 – September 18, 2025

casas-datascience — GitHub repository

View Project

SONUS

January 27, 2022 – January 18, 2025

Games project 2022 - SONUS - Team E

View Project

Graphics-Renderer-and-Raytracer

November 22, 2021 – December 17, 2021

A tiny rasterizer and ray-tracer for OBJ files

View Project

UnknownSignal

May 14, 2021 – May 14, 2021

Data Driven CS Coursework, Python code that reconstructs signals based on points generated by their functions

View Project

distributed-lab-1

September 3, 2020 – March 2, 2025

Basic chat server

View Project

setup-guides

May 13, 2020 – October 9, 2025

Setup guides for go

View Project

gol-skeleton

May 12, 2020 – October 21, 2025

Skeleton code for the Game of Life CW 2025

View Project

concurrency-lab-1

May 12, 2020 – October 14, 2025

Advanced concurrency

View Project

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'DeepTraderX' and 'BSE-Trading-PRDE'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to distributed systems and concurrency ('distributed-lab-1', 'concurrency-lab-1') indicates a foundational understanding of scalable computing, relevant for large-scale data processing.

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.

Armand Cismaru

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit