Sushma S
@sushmas1
Recent data scientist with strengths in machine learning, computer vision, and time-series forecasting.
What I'm looking for
I am a meticulous data scientist with academic training in statistics, machine learning, and signal processing, combined with hands-on experience in computer vision, time-series forecasting, and reinforcement learning. I have implemented transformer-based classifiers, synthetic image augmentation using Blender, LSTM forecasting for energy management, and real-time vision systems, demonstrating strong problem-solving and reproducible project practices.
I have contributed to research projects at UMass Amherst and completed an internship augmenting COCO datasets and building few-shot image classifiers with high accuracy. I seek collaborative teams where I can apply my analytical rigor, software skills (Python, TensorFlow, PyTorch, SQL, AWS) and domain knowledge to deliver production-ready models and measurable impact.
Experience
Work history, roles, and key accomplishments
Intern
Enoventure
Mar 2024 - Jun 2024 (3 months)
Generated and integrated synthetic images using Blender to augment the COCO dataset and ensured annotation and category consistency; contributed a few-shot transformer-based image classifier that achieved 98% accuracy.
Research Assistant
High-Dimensional Signal Processing Group
Aug 2020 - Dec 2022 (2 years 4 months)
Localised visually impaired users and developed indoor navigation pipelines using structure-from-motion (COLMAP) to extract features and build 3D maps from images.
Education
Degrees, certifications, and relevant coursework
University of Massachusetts Amherst
Master of Science, Electrical and Computer Engineering
Master of Science in Electrical and Computer Engineering with coursework in data science and machine learning; major GPA 3.66 and overall GPA 3.349/4.
PES University
Bachelor of Engineering, Electronics and Communication Engineering
Undergraduate degree in Electronics and Communication Engineering with a minor in Computer Science; CGPA 8.11/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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