Summary
Deeksha Aggarwal is a Senior Data Scientist based in Bengaluru with 9 years of combined industry and research experience building AI products across computer vision, NLP, and reinforcement learning. She holds an MS by research in Data Science from IIIT Bangalore and has additional advanced AI training from IISc, blending strong theoretical grounding with practical deployment skills. Deeksha has deep experience optimizing and deploying deep learning models for edge and cloud using Intel OpenVINO, applying quantization, pruning, clustering, and knowledge distillation to shrink models without sacrificing performance. At Perfios and during research roles at IIITB she has translated CV research into production-ready pipelines and written about practical solutions for vision problems on platforms like Analytics Vidhya and Medium. An avid Python programmer and frequent GitHub contributor, she combines clean, optimized code with research-driven experimentation. Less obvious: she actively bridges academic research and enterprise constraints, focusing on model compression and real-world deployment trade-offs.
9 years of coding experience
7 years of employment as a software developer
CCE, Reinforcement learning, B+, CCE, Reinforcement learning, B+ at Indian Institute of Science (IISc)
Bachelor’s Degree, Electronics and communication Engineering, 7.4, Bachelor’s Degree, Electronics and communication Engineering, 7.4 at Jaypee Institute of Information Technology, Noida
Master of Science by Research (MS), Data Science, 3.6/4, Master of Science by Research (MS), Data Science, 3.6/4 at International Institute of Information Technology Bangalore
10th, 85.5, 10th, 85.5 at The Frank Anthony Public School, New Delhi
High School, Science, 91.8, High School, Science, 91.8 at Evergreen Public School, Delhi