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Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Gender_Dimension_Energy_Policy
December 5, 2022 – August 14, 2023
This repository contains all the techniques discussed in the paper
View ProjectFake-News-Detection
December 23, 2021 – August 11, 2022
Fake-News-Detection — GitHub repository
View ProjectEmployee_Churn_Prediction_with_Shap
April 2, 2021 – June 8, 2021
Employee_Churn_Prediction_with_Shap — GitHub repository
View ProjectSimple-Linear-Regression-
July 26, 2018 – July 26, 2018
understanding simple linear regression
View ProjectSentiment-Analysis
July 26, 2018 – July 26, 2018
Sentiment analysis of news articles extracted from techinvestornews.com
View ProjectCredit-Defaulter-
July 26, 2018 – July 26, 2018
Applying various machine learning algorithms to german dataset
View ProjectData-Analysis
July 26, 2018 – July 26, 2018
Various data sets and exploratory data anlysis
View ProjectCultural Fit Analysis
The candidate's projects show a focus on individual data science tasks, which aligns with a role requiring independent problem-solving. However, the lack of team projects or collaborative tools makes it difficult to assess broader cultural fit. The projects are diverse in application but consistently use Jupyter Notebook, indicating a specific workflow preference.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is 0, and no psychometric or English test scores are available.