Dr. Chaya Ravindra
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Associate professor AIML Department,Senior IEEE Member
IBM Certified Machine Learning and Data Visualization expert with Python Badge. Assistant Professor and Researcher with 14+ experience in teaching and mentoring undergraduate & postgraduate students in Electronics and Computer Science academic disciplines. With the proven excellence and track record in academia with 10+ International conferences, Journal papers, co-author of academic books with the major competence in Big Data Analytics, Signal Systems & Computer Networks; highly regarded for contribution to research and academics. Indian innovation patent holder for Smart E-dust Bin For Hotel Food Waste and an active member in collaborating with IIT Bombay. For academic collaborations, to schedule meetings on job-related queries, contact Chaya Ravindra at chaya.ravindra@gmail.com
GITAM Deemed University
Phd research scholor, wireless sensor networks
January 1, 2015 – January 1, 2020
MGM Engineering college
Master's degree, Electrical, Electronics and Communications Engineering
January 1, 2010 – January 1, 2012
Adichunchanagiri Institute of Technology, CHIKKAMAGALUR
Bachelor's degree, Electrical, Electronics and Communications Engineering
January 1, 1998 – January 1, 2002
T John Institute Of Technology
Associate Professor @ AIML. Department
June 1, 2025 – Present
Bangalore Urban, Karnataka, India
REVA University
NBA Coordinator
May 1, 2024 – June 1, 2025
REVA University
Associate Professor
July 1, 2023 – June 1, 2025
REVA University
Assistant Professor
August 1, 2021 – August 1, 2023
EC-Council
Technical course reviewer
June 1, 2021 – July 1, 2021
Confidential
coding mentor
June 1, 2021 – July 1, 2021
ANJUMAN-I-ISLAMS SCHOOL OF ENGINEERING AND TECHNOLOGY ATANJUMAN-I-ISLAM KALSEKAR TECHNICAL, MUMBAI
Assistant Professor
September 1, 2012 – June 1, 2021
Mumbai, Maharashtra, India
MGM engineering college Navi Mumbai
Lecturer
June 1, 2009 – June 1, 2012
Navi Mumbai
MGM BscIT and BCA
Visiting Lecturer
July 1, 2008 – October 1, 2009
Navi Mumbai
NIIT Technologies Limited
Technical Trainer
June 1, 2007 – June 1, 2008
panvel
Jetking Infotrain Limited
Technical Trainer
September 1, 2006 – February 1, 2007
panvel
IRCA vashi
Administrative Assistant
October 1, 2004 – May 1, 2005
vashi
R programming
Amity Future Academy
June 25, 2026 – Present
Applied Social Network Analysis in Python
Coursera
June 25, 2026 – Present
Using Databases with Python
Coursera
June 25, 2026 – Present
Coursera Administrator Training
Coursera
June 25, 2026 – Present
Using Python to Access Web Data
Coursera
June 25, 2026 – Present
Applied Machine Learning in Python
Coursera
June 25, 2026 – Present
Google Crash course on Python
Coursera
June 25, 2026 – Present
University of Michigan Programming for Everybody (Getting Started with Python)
Coursera
June 25, 2026 – Present
Introduction to Datascience using python
Coursera
June 25, 2026 – Present
Decision Trees, Random Forests, AdaBoost & XGBoost in Python
Udemy
June 25, 2026 – Present
Machine Learning for All
Coursera
June 25, 2026 – Present
AI Foundation Course by SkillUp
Skill-Up Technologies
June 25, 2026 – Present
Applied Data Science with Python
Coursera
June 25, 2026 – Present
TCS -ion Carrer Edge Knock Lockdown
TCS-iON Digital Manufacturing Solution
June 25, 2026 – Present
Cyber Security course for begineers -level-1
Udemy
June 25, 2026 – Present
Data Analytics using R
GITAA
June 25, 2026 – Present
Deep Learning
Udemy
June 25, 2026 – Present
Machine Learning using python
Cognitive Class
June 25, 2026 – Present
Python for DataScience
NPTEL
June 25, 2026 – Present
Fundamentals of python
Amity Future Academy
June 25, 2026 – Present
Data science and Machine Learning
Udemy
June 25, 2026 – Present
Joy of computing python
NPTEL
June 25, 2026 – Present
Data Science
Amity Future Academy
June 25, 2026 – Present
social network
NPTEL
June 25, 2026 – Present
Python Data Science
AICTE
June 25, 2026 – Present
Implementing Deep Learning: Optimized Deep Learning Applications
Skillsoft
June 25, 2026 – Present
Programming in Java
NPTEL
June 25, 2026 – Present
Programming in Modern C++ From NPTEL
NPTEL
June 25, 2026 – Present
Google Cloud Computing Foundations Program
Google Cloud Community India
June 25, 2026 – Present
Big data engineering with HADOOP
CloudxLab
June 25, 2026 – Present
GETTING STARTED WITH AI ON JETSON NANO
NVIDIA
June 25, 2026 – Present
Scrum Fundamentals Certified (SFC)
Certiprof
June 25, 2026 – Present
Oracle Cloud Infrastructure Foundations 2021 Certified Associate
Oracle
June 25, 2026 – Present
Datascience-CUSAT
AICTE Training And Learning (ATAL) Academy
June 25, 2026 – Present
FUNDAMENTALS OF DEEP LEARNING FORCOMPUTER VISION
NVIDIA
June 25, 2026 – Present
Data Science
AICTE Training And Learning (ATAL) Academy
June 25, 2026 – Present
AI Changemakers: Chaya Ravindra
Verix
June 25, 2026 – Present
Iot Datascience
AICTE
June 25, 2026 – Present
Data Analysis with Python: Zero to Pandas
Jovian
June 25, 2026 – Present
Data Visualization Using Python
IBM
June 25, 2026 – Present
Machine Learning with Python - Level 1
IBM
June 25, 2026 – Present
Python for Data Science
IBM
June 25, 2026 – Present
Capstone-Retrieving-Processing-and-Visualizing-Data-with-Python
Coursera
June 25, 2026 – Present
Python for Everybody Specialization
Coursera
June 25, 2026 – Present
The Data Science Method
edX
June 25, 2026 – Present
Python Data Structures
Coursera
June 25, 2026 – Present
Applied Text Mining in Python
Coursera
June 25, 2026 – Present
Applied Plotting, Charting & Data Representation in Python
Coursera
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's background is primarily academic, with a focus on teaching and research. While this demonstrates a strong theoretical foundation and a commitment to continuous learning (evidenced by numerous certifications), the lack of industry project experience in a Big Data Engineer capacity might present a cultural gap with a typical corporate engineering team. The diversity of certifications in AI, ML, and Data Science indicates a broad interest in relevant technologies.
Soft Skills & Operational Fit
The candidate's extensive experience in academic roles (Associate Professor, Assistant Professor, Lecturer) and as a technical trainer suggests strong communication, presentation, and mentorship skills. Roles like NBA Coordinator indicate organizational and process management abilities. However, direct experience in a corporate Big Data Engineer role is not evident, which might impact operational fit in a fast-paced industry setting.