I have a background in electronics and data science, with experience in research and real-world data science projects. I enjoy working with both structured and unstructured data to extract insights and build practical, impactful solutions.

Sandhya Kulkarni

I have a background in electronics and data science, with experience in research and real-world data science projects. I enjoy working with both structured and unstructured data to extract insights and build practical, impactful solutions.

Available to hire

I have a background in electronics and data science, with experience in research and real-world data science projects.

I enjoy working with both structured and unstructured data to extract insights and build practical, impactful solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Hindi
Intermediate
Kannada
Advanced

Work Experience

Senior AI Solutions Engineer at SeeChange Technologies Ltd
July 1, 2024 - Present
Member of the solutions team working on computer vision-based AI self-checkout technology to prevent shrinkage and reduce employee interventions. Proficient in Python and Computer Vision tasks.
Machine Vision Developer at Agsenze Ltd
October 1, 2023 - July 31, 2024
R&D team member using 3D and 2D videos/images to extract information for tracking cow health; contributed to improvements in machine vision technologies using ML/AI.
Data Scientist at Circadacare
July 1, 2023 - October 31, 2023
Data Scientist within a group of companies, specializing in audio analytics; contributed to hardware prototyping and data pipeline development for an elderly healthcare project. Transitioned to another company within the group.
Data Scientist & Analytics Team Coordinator at Aceso Analytics
April 1, 2022 - July 31, 2023
Led end-to-end product development for edge AI devices using Arduino/Seeed microcontrollers, focusing on IoT-based healthcare solutions and predictive maintenance; extensive work on sensor data and IoT analytics, as well as audio analytics.
IoT and AWS consultant at Mulberrybush Family Support (startup)
March 1, 2021 - April 1, 2022
Part-time data engineer; developed data collection and processing pipelines and hardware prototyping; integrated IoT hardware with AWS services (AWS IoT Core, S3, DynamoDB).
Research Associate at Centre for Electronics and Embedded Systems (CEEEMS) Lab, IIIT-B
January 1, 2012 - March 31, 2014
Assisted in solar energy, robotics, and cognitive networks; supported Python/C programming and digital signal processing; conducted independent research in computer vision and cognitive networks.
Research Assistant / Teaching Assistant at IIIT-B CEEEMS Lab
February 1, 2007 - July 31, 2010
Assisted in teaching embedded systems and software engineering; contributed to PhD-level research projects.
Guest Lecturer at Department of Electronic Science, Bangalore University
June 1, 2003 - June 1, 2007
Courses taught: Network Analysis, Digital Signal Processing, Data Communication laboratory.

Education

MSc Data Science, Technology and Innovation at University of Edinburgh
January 11, 2030 - November 1, 2023
PhD Electronics Science at Bangalore University
January 11, 2030 - April 1, 2012
MSc Electronics Science at Bangalore University
January 11, 2030 - June 1, 2002
BSc Electronics Science at Karnataka University, P.C. Jabin Science College, Hubli
January 11, 2030 - April 1, 2000

Qualifications

AWS Certified Machine Learning – Specialty
January 11, 2030 - January 13, 2026

Industry Experience

Healthcare, Software & Internet, Computers & Electronics, Education, Professional Services