
Python Developer | Data Engineer | Moving into ML space
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Starbucks-Capstone
November 29, 2020 – November 30, 2020
Udacity - ML Nanodegree Capstone
View Projectsfn-state-definition-linter
November 11, 2020 – November 11, 2020
sfn-state-definition-linter — GitHub repository
View Projectmarket-basket-analysis
October 31, 2020 – October 31, 2020
Implementing Apriori algorithm in PySpark
View Projectcapstone_project
September 11, 2020 – October 12, 2020
capstone_project — GitHub repository
View Projectupgrad_capstore_iitm_aws_iotgreengrass_lstm
September 1, 2020 – October 19, 2020
A time-series forecasting model to predict air pollution levels for each day which enables maintenance of the air filtration system. This capstone project showcases how AWS IoT and Amazon SageMaker services can deliver an end-to-end IoT+ML project.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in machine learning and data science, aligning with a Data Scientist role. The diversity of projects, from IoT+ML to GANs and market basket analysis, suggests a curious and self-driven individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.