Abhilasha Jain
ABOUT
My Background
Throughout my life, I’ve approached every challenge with enthusiasm, creativity, and a ceaseless desire to achieve success. This passion and drive have paved the way to countless opportunities, unique experiences, and exceptional relationships both personally and professionally.
With a passion for mathematics, programming, and all things biomedical, I have both the skillset and academic background necessary to dive deep into the data and algorithmic world. As an upbeat, self-motivated team player with excellent communication, I envision an exciting future in the industry as Math Modeler, Data Scientist, or Data Analyst. If you’re interested in learning more about me, keep reading or get in touch.
MY EXPERIENCE
Roles & Responsibilities
AI/ML INTERN, SPG AMERICA
July 2023 - Present
Created Python & SQL ETL system for multi-source data, cutting manual work by 25% and enhancing data precision.
Deployed an Online Price Negotiator chatbot using Deep Learning and NLP techniques, increasing customer satisfaction by 13%.
Developed a shopping bill parser using OCR, NER, and LILT Models, categorizing spending, and enhancing accuracy in expense tracking.
DATA SCIENCE RESEARCHER, ZETA SURGICAL
November 2021 - December 2021
Integrated ML algorithm into surgical equipment, 75% reduction in brain hemorrhage misdiagnoses, improved outcomes.
Trained CNN with 68% accuracy and U-Net with 92% accuracy for precise CT Scan hemorrhage classification and segmentation.
DATA SCIENTIST PRODUCT ENGINEER, WECAN EDUCATIONAL ORGANIZATION
October 2017 - April 2019
Led Google Cloud-based patient monitoring, 40% faster response, real-time emergency alerts, and enhanced treatment.
Designed Raspberry Pi-Python gamified device, elevating healthcare efficiency by 25% through real-time data collection.
Deployed Deep Learning model for Diabetic Retinopathy detection on fundus images, elevating early identification by 20% for timely treatment.
MACHINE LEARNING ENGINEER INTERN, MMM LTD., IIT - BOMBAY
August 2018 - May 2019
Optimized machine learning workflows, reducing model deployment time by 30%.
Implemented MATLAB predictive algorithm, decreasing false predictions by 80% & and 90% higher accuracy in heart attack predictions.
EDUCATIONAL BACKGROUND
What I’ve Learned
NORTHEASTERN UNIVERSITY
September 2021 - May 2023
Master of Science in Applied Mathematics
Specialization in Machine Learning & Data Science
D.Y. PATIL UNIVERSITY
July 2015 - June 2019
Bachelors of Technology in Biomedical Engineering
Specialization in Medical Imaging and Signal Processing
Minor in Instrumentation
MY SKILL SET
A Valuable Skill
Raising the Bar
Above and Beyond
"Do not go where the path may lead. Instead, go where there is no path and leave a trail"