Nivedhitha Ezhilarasan
ML EngineerData scientist | ML 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
Data scientist | ML 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
I am a creative upcoming professional focused on growing in the fields of Natural Language Processing, Machine Learning Algorithms, Big data analytics and High performance Computing. I have a strong urge to learn and explore new areas and stay connected with latest happenings in these domains. Strong communication skills and adaptability can be considered to be my plus.
Amrita Vishwa Vidyapeetham, Coimbatore
Master’s Degree, Computational and Applied Mathematics
January 1, 2014 – January 1, 2016
Anna University Chennai
BTech Information Technology, Information Technology
January 1, 2007 – January 1, 2011
Career Break
Caregiving
January 1, 2021 – Present
Coimbatore, Tamil Nadu
HP
Financial Analyst
October 1, 2019 – December 1, 2020
Bangalore
Confirmtkt
Machine Learning Intern
November 1, 2018 – May 1, 2019
Bangalore
Amtex Systems
Machine Learning Engineer Intern
December 1, 2017 – December 1, 2018
Chennai Area, India
Amazon
Associate
May 1, 2012 – August 1, 2014
Chennai Area, India
Learning Data Analytics
June 23, 2026 – Present
A short introduction to neuroscience
Udemy
June 23, 2026 – Present
Big Data And Hadoop For Beginners - With Hands-On
Udemy
June 23, 2026 – Present
Hadoop Starter kit
Udemy
June 23, 2026 – Present
Machine Learning A-Z™: Hands-On Python & R In Data Science
Udemy
June 23, 2026 – Present
A Gentle Introduction to Deep Learning Using Keras
Udemy
June 23, 2026 – Present
"Complete Facebook Messenger Chatbot Course
Udemy Online
June 23, 2026 – Present
polynomial regression and R
Udemy
June 23, 2026 – Present
Flask step by step
Udemy
June 23, 2026 – Present
Python for Beginners with Examples
Udemy Online
June 23, 2026 – Present
Using Python with Excel
June 23, 2026 – Present
Get started with Azure AI Services
Microsoft
June 23, 2026 – Present
Foundations of The Fourth Industrial Revolution (Industry 4.0)
June 23, 2026 – Present
Cybersecurity Awareness: Digital Data Protection
June 23, 2026 – Present
Learning Django
June 23, 2026 – Present
AWS Machine Learning Foundations Course
Amazon Web Services (AWS)
June 23, 2026 – Present
Deploy Machine Learning Models in Azure
Coursera
June 23, 2026 – Present
Prompt Design in Vertex AI Skill Badge
June 23, 2026 – Present
Introduction to Generative AI
June 23, 2026 – Present
Introduction to Large Language Models
June 23, 2026 – Present
Responsible AI: Applying AI Principles with Google Cloud
June 23, 2026 – Present
Introduction to Responsible AI
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity is not explicitly detailed in the provided data, making it difficult to assess. The experience includes internships in ML and a master's degree in a relevant field, which aligns with the target role. However, there are significant career gaps and roles (Financial Analyst, Associate at Amazon) that are not directly related to ML engineering, which might indicate a less focused career path. The breadth of skills is demonstrated through numerous certifications, but practical application in diverse projects is not evident.
Soft Skills & Operational Fit
The candidate's resume does not provide sufficient detail on soft skills or operational fit. The 'Attention to Detail' skill is listed across multiple roles, but without specific examples or project descriptions, it's difficult to assess its depth or applicability to a senior ML Engineer role. The career break for caregiving indicates personal responsibility but doesn't directly inform operational fit.