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Machine Learning, Data Science, Quant, Algorithmic Trading
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
chat-application-notrace
April 26, 2020 – April 26, 2020
chat-application-notrace — GitHub repository
View Projectschool-erp-backend-python
March 16, 2020 – March 16, 2020
school-erp-backend-python — GitHub repository
View Projectschool-erp-backend
March 15, 2020 – March 15, 2020
school-erp-backend — GitHub repository
View ProjectTechnical-Analysis
December 21, 2018 – January 9, 2019
Technical-Analysis — GitHub repository
View ProjectBigData-Essentials-HDFS-SPARK-RDD
July 31, 2018 – January 22, 2019
BigData-Essentials-HDFS-SPARK-RDD — GitHub repository
View ProjectData-Science-Python-Coursera-MICHIGAN-
July 30, 2018 – January 9, 2019
Data-Science-Python-Coursera-MICHIGAN- — GitHub repository
View ProjectML-Course-Andrew-Ng
July 23, 2018 – January 7, 2019
ML-Course-Andrew-Ng — GitHub repository
View ProjectTrading-Algo-Comparison
January 31, 2017 – January 31, 2017
Trading-Algo-Comparison — GitHub repository
View ProjectStock-Trading-using-RRL
January 31, 2017 – January 7, 2019
Stock-Trading-using-RRL — GitHub repository
View ProjectAlgo_trading_ML
December 20, 2016 – December 20, 2016
Algo_trading_ML — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science, machine learning, and algorithmic trading, which aligns well with a Data Scientist role. The diversity of projects, including some non-data science related ones (chat application, ERP backend), indicates a broader technical interest, though the descriptions are minimal. The focus on personal projects suggests self-motivation and a drive for learning.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.