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Quantitative Development | HFT
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Assessing your cultural and operational fit
SMC Global Securities
Data Scientist
June 16, 2026 – Present
Trading-Toolkit
January 17, 2021 – June 25, 2021
Implementation of basic trading tools and indicators.
View ProjectModel-Deployment
September 3, 2020 – September 27, 2020
Model-Deployment — GitHub repository
View ProjectCLI-GoogleTrends
January 11, 2020 – January 23, 2020
Command Line Interface built on top of PyTrends
View ProjectNeuralStyleTransfer
March 10, 2019 – March 10, 2019
This project is part of the submission to the https://github.com/myelin-foundry/challenge#org9124e2a competition , where the objective was to perform Neural Style Transfer on the images provided.
View ProjectDataStructures
February 19, 2019 – February 19, 2019
Various Data-Structures implementation in C
View ProjectMachine-Learning-Algorithms
February 17, 2019 – December 2, 2019
Implementation of some machine learning algorithms from scratch using numpy.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal, self-driven learning and application in data science. The diversity of projects, from CLI tools to deep learning implementations and web deployments, suggests a proactive and curious individual. However, the lack of team-based projects or contributions makes it difficult to assess collaboration and broader cultural fit beyond individual initiative. The single current professional experience as a Data Scientist aligns well with the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.