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MLOps Engineer | Android 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
NLP-ML-Kit
May 1, 2020 – January 7, 2023
ML-Kit in NLP sample application. To read more hit the link
View ProjectFacts
December 6, 2019 – December 20, 2019
Sample app for loading API and displaying data in MVVM-Kotlin Architecture, with 3 espresso test
View ProjectPosts
May 7, 2018 – November 17, 2021
A sample android app using Android Architechure components in Kotlin, contains network calls
View ProjectMachine-Learning-A2Z
November 8, 2017 – March 7, 2019
Different algorithms in python, pandas, keras, tensorflow and in R that I learnt with this course
View ProjectFloating-Button-Animation
September 18, 2017 – March 3, 2023
Demo app for https://www.uplabs.com/posts/floating-button-animation
View ProjectGoogle-SpreadSheet-Demo
November 28, 2016 – May 25, 2018
Fetching data from Google Spreadsheet using APIs
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on Android development with some exposure to machine learning. While there's a 'Machine-Learning-A2Z' project, the overall portfolio leans heavily towards mobile app development rather than deep data science applications. This suggests a potential mismatch with a dedicated 'Data Scientist' role, which typically requires more extensive experience in data modeling, statistical analysis, and deployment of data science solutions. The diversity of projects is moderate, but the alignment with the target role is weak.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.