Machine Learning Engineer | Data Scientist | Masters Graduate in Artificial Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Amrita Vishwa Vidyapeetham
Machine Learning Engineer
June 13, 2026 – Present
Assignment_Zeotap
January 27, 2025 – January 27, 2025
Zeotap Assignment - Venkataraman Ranganath
View ProjectHeart-Disease-Prediction
December 18, 2024 – February 18, 2025
Heart-Disease-Prediction — GitHub repository
View ProjectImage-Colorization
July 25, 2023 – July 25, 2023
Colorizing Grayscale Images using Hybrid AutoEncoder and CNN Architecture
View ProjectMedical-Insurance-Cost-Prediction
December 18, 2022 – November 29, 2024
Predict health insurance for a person
View ProjectYoga-Pose-Estimation-and-Feedback
November 21, 2021 – February 18, 2025
Yoga-Pose-Estimation-and-Feedback — GitHub repository
View ProjectFraction-Calculator-Racket
September 22, 2021 – November 21, 2021
A calculator for fractions
View ProjectMobile-Price-Classification
September 2, 2021 – September 2, 2021
A case study to classify mobile price ranges based on given specifications
View ProjectStudent-Profile
August 23, 2021 – October 23, 2021
A web based app to manage and maintain Personal, Academic and Hostel details of the students in the college in the form of Student Profiles
View ProjectVisualization-of-Stacks-and-Queues-using-VPython
August 8, 2021 – August 8, 2021
A website to learn about stacks and queues and see how they work through visualization
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on Machine Learning, which aligns well with the target role of Machine Learning Engineer. The diversity of ML applications (medical, image processing, classification) indicates a broad interest within the field. However, the projects are all personal and lack details on collaboration or team dynamics, making it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.