Somya Rani
About Somya Rani
Somya Rani is an AI Scientist currently working at Synapsica in Bengaluru, India, where she leads the Video-Analytics department. With a background in machine learning and data science, she specializes in real-time model optimization and aspires to develop a makeup recommendation app.
Work at Synapsica Healthcare
Somya Rani serves as an AI Scientist at Synapsica, a position she has held since 2021. In this role, she leads the Video-Analytics department, focusing on smart city use-cases. Her responsibilities include implementing advanced machine learning techniques to enhance video analytics applications. This position builds on her extensive experience in data science and machine learning.
Work at AI Cafe
Since 2019, Somya Rani has been contributing as a Machine Learning Contributor at AI Cafe. Her work involves developing machine learning models and algorithms to solve complex problems. This role complements her expertise in AI and data science, allowing her to apply her skills in a collaborative environment.
Education and Expertise
Somya Rani holds a Bachelor's degree in Electrical Engineering from Jk Lakshmipat University, where she studied from 2015 to 2018. She has a strong foundation in science, having completed her secondary education at St Joseph's Convent High School. Her technical expertise includes proficiency in object detection algorithms such as Detectron2, Mask-RCNN, Faster-RCNN, Resnet-50, and SSD, utilizing Keras and TensorFlow frameworks.
Background in Data Science
Somya Rani has a diverse background in data science, having worked in various roles across different companies. She was a Data Scientist at Quantela Inc. from 2019 to 2020, where she focused on video analytics. Additionally, she worked at GAIAN SOLUTIONS as a Data Scientist for 10 months and completed a Computer-Vision internship at Samarth Life Management Pvt Ltd in 2018. Her early experience includes a deep learning internship at deepkapha.ai in Amsterdam.
Future Aspirations
Somya Rani aspires to develop an application that recommends makeup based on face structure, complexion, and attire. This project reflects her interests in fashion and retail, combined with her expertise in data science. She aims to leverage her technical skills to create innovative solutions in the beauty industry.