2023 Nominations
until October 01
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Jyotika
Singh
VP of Data Science at ICX Media, Inc.
Finalist in the categories:
Rising Star in STEM of the Year
Celebrate 100 000 Women in Tech
Fostering Innovation with Purpose and Impact.
>> December 01 - Virtual <<
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Help raise awareness. Nominees with the most votes are eligible for the WomenTech Community Award.
Jyotika Singh Bio
Jyotika Singh is the VP of Data Science at ICX Media, where she manages and mentors her team as they work on NLP, feature engineering, machine learning, data analytics, research, distributed computing, social media data and audiences data using Python and Spark. She is an inventor of a patent on data science, classification and reclassification algorithms, processes and optimizations for media and audience marketing campaigns. Her efforts in driving data science and analytics at ICX along with introduction of new methods and processes have strongly contributed to reducing operating costs, securing new clients and achieving high double digit revenue growth in the past year with positive EBITDA.She earned her Bachelor's in Engineering Hons. in Electronics and Communications Engineering from Birla Institute of Technology and Science, Pilani, Dubai (BITS) where she published multiple papers on her research in Signal Processing and Communications and earned a silver medal for the entire graduating class of 2014 and 1st rank for the Electrical Engineering class of 2014. She then earned her Master's in Science from the University of California, Los Angeles (UCLA) where she researched on signal and speech processing, developed novel approaches to remove noise from speech and worked on a variety of machine learning projects on image, text, user ratings, social media, entertainment and movies data. Outside her work, she enjoys working on a variety of problem solving techniques on text, audio and image data. She has opened multiple github open source projects, such as pyAudioProcessing, and has been a speaker at multiple conferences across the globe to share her findings and work with the Python and Data Science community. She is passionate about encouraging women in STEM and continues mentorship efforts to support the topic. She mentors at Data Science Nigeria and Women Impact Tech US.
In her free time, she is big on spending time with family and friends, painting, sketching, art & decor, and trying out different sports.
