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Data 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
s3-event-trigger
November 20, 2021 – November 20, 2021
Using Terraform to build event triggers on AWS
View ProjectPredicting-Suicide-Ideation
August 17, 2020 – August 17, 2020
A Notebook on building a Suicide Ideation Classifier using Natural Language Processing(NLP)
View Projectjenkins_automation
August 1, 2020 – August 1, 2020
Automating Data Science Project with Jenkins
View ProjectfaceMaskDetector
May 14, 2020 – March 25, 2023
Building a simple facemask detector using Deep Learning(Keras) and OpenCV
View ProjectDeploying-ML-Models-with-Django
March 11, 2020 – June 22, 2022
A medium article tutorial on how to deploy a machine learning model with django
View ProjectDiabetes-Prediction-API
March 5, 2020 – April 22, 2022
Deploying a Diabetic Machine Learning model via an API
View ProjectCufflinks-and-Plotly-Tutorial
July 15, 2019 – October 31, 2019
Plotly and Cufflinks - A very interactive Python visualization tool for EDA and presentations.
View ProjectComputer-Based-Test-Practise
April 24, 2019 – April 27, 2019
Applications of using OOP in python to solve real world problems
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong initiative and self-learning capability, which aligns well with a culture that values continuous improvement and hands-on problem-solving. The diversity of projects, from NLP to deep learning and MLOps, suggests a broad interest in the data science domain. The focus on deploying models indicates an understanding of the practical application of data science, which is a positive cultural fit for roles requiring end-to-end project ownership.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies, particularly in the MLOps space.