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Data Scientist with 5+ years of experience building machine learning solutions
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
airbnb-scheduling-forecast
December 10, 2021 – February 22, 2022
Data science project to forecast airbnb scheduling
View Projecthealth-insurance-cross-sell
March 4, 2021 – March 4, 2021
data science project to improve cross selling through consumer ranking.
View Projecttransaction-fraud-detection
January 11, 2021 – February 3, 2025
A data science project to predict whether a transaction is a fraud or not.
View Projectchurn-prediction
December 12, 2020 – December 12, 2020
It is a data science project with a focus on predicting whether a customer will be churn or not. This term is used to refer to customers who find themselves evaded.
View Projectrossman-store-sales
October 21, 2020 – November 10, 2020
A data science project to predict rossman daily sales for up to six weeks in advance
View Projectcardiovascular-disease-prediction
October 20, 2020 – February 9, 2021
A data science project for cardiovascular disease prediction
View ProjectMachine-Health
August 21, 2020 – December 13, 2020
A Study project that predict disease with Machine Learning, NodeJS and Data Science
View Projectwebscraping-comment-tripadvisor
June 15, 2020 – June 18, 2020
A study project who aims to create a web scarping for getting informations about comments on the site
View Projectvirtual-lockin-prototype
April 28, 2020 – May 27, 2020
A prototype of a lock-in amplifier
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on data science, which aligns with the target role. However, the lack of team-based projects or diverse professional experiences makes it difficult to fully assess cultural fit. The projects show a consistent interest in applying machine learning techniques.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.