
Machine learning enthusiast
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Assessing your cultural and operational fit
jet-pack-compose
February 26, 2021 – February 26, 2021
jet-pack-compose — GitHub repository
View Projectandroid-pagination
July 5, 2020 – February 9, 2022
android-pagination — GitHub repository
View ProjectSupport-Vector-Machine
July 16, 2019 – July 16, 2019
BBC Dataset: News Classification Dataset:https://drive.google.com/open?id=1J93hFfSKX2iqQKhOjHI19d6DSA2DmBSY Description: http://mlg.ucd.ie/datasets/bbc.html Consists of 2225 documents from the BBC news website corresponding to stories in five topical areas from 2004-2005. Class Labels: 5 (business, entertainment, politics, sport, tech)
View ProjectStochastic-gradient-descent
July 1, 2019 – July 1, 2019
Writing basic function to implement stochastic gradient descent algorithm for linear regression on boston house prices dataset.
View Projectk-Nearest-neighbor
June 28, 2019 – June 28, 2019
Applying Sci-Kit learn's KNeighborsClassifier on Amazon fine food reviews dataset
View ProjectHaberman-cancer-survival-dataset
June 28, 2019 – June 28, 2019
Some basic data analysis on Haberman cancer survival dataset.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a mix of Android development and foundational machine learning projects. While the ML projects align with the target role, the significant presence of Android projects suggests a broader interest or prior focus. The candidate's experience level is 0, indicating a junior profile, which might not be an ideal fit for a senior Machine Learning Engineer role without significant upskilling.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.