
TensorFlow, PySpark, GCP,AWS,AI/ML Developer, M.E in Big Data and Data Analytics at Manipal University
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Flask-Deep_learning-Kube-Deployment
April 11, 2021 – February 19, 2024
Flask-Deep_learning-Kube-Deployment — GitHub repository
View Projectshippingapp-AWS-Codeguru
December 15, 2019 – February 2, 2020
shippingapp-AWS-Codeguru — GitHub repository
View ProjectData-Analysis-Project
April 9, 2017 – April 9, 2017
Data-Analysis-Project — GitHub repository
View ProjectData-Structure-And-Algorithms
April 5, 2017 – January 21, 2022
Data-Structure-And-Algorithms — GitHub repository
View ProjectMini-Project
February 21, 2017 – December 4, 2019
Mini-Projects in Master's (Big Data & Data Analytics) at Manipal University
View ProjectData-visualization
January 19, 2017 – April 4, 2017
Data visualization done by R and Python by using Machine learning techniques
View ProjectCultural Fit Analysis
The candidate's project list shows a diverse interest in various technical areas, including AI/ML, DevOps, and data analysis, alongside core backend components like AWS Lambda and Flask deployments. This breadth suggests an adaptable individual, which could be a good cultural fit for teams that value continuous learning and cross-domain exploration. However, the projects are all personal, making it difficult to assess collaboration or team-oriented contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.