Susanth Dasari
Lead Data Scientist
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolSusanth Dasari is a Lead Data Scientist with 10 years of experience applying machine learning, NLP, and predictive modeling to drive business transformation at Truist. With a Master’s in Computer Science from Georgia State University and a background spanning analytics roles at Deloitte and hands-on internships, she blends rigorous statistical thinking with practical feature engineering to produce scalable, reusable models. She has risen through consecutive data science roles at Truist, demonstrating an ability to translate complex data into customer-focused solutions and operational efficiencies. Based in Atlanta, she pairs enterprise delivery experience with academic training as a former graduate teaching assistant, signaling both technical depth and a talent for mentoring. An inclination toward building production-ready ML systems rather than only prototypes distinguishes her approach.
10 years of coding experience
5 years of employment as a software developer
High School SSC, High School SSC at Saint Mary's E M H SchoolBachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at GITAM Deemed UniversityMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia State UniversityIntermediate (12th) Mathematics Physics and Chemisty, Intermediate (12th) Mathematics Physics and Chemisty at Ascent Classes
Github Skills (13)
classifiers7
adversarial-attacks5
adversarial-machine-learning5
toolbox4
deep-learning3
machine-learning3
image-classification3
noise3
decoder2
encoder2
architecture2
denoising2
encoder-decoder2
Programming languages (1)
Github contributions (5)
sampath9dasari/Food.com-eda-ML
Dec 2019 - Mar 2024
Contributions:8 pushes, 1 branch in 4 years 3 months
sampath9dasari/image-denoising-deep-learning
Apr 2020 - Mar 2021
Encoder - Decoder network architecture to remove noise from images
Contributions:20 PRs, 23 pushes, 3 branches in 11 months
deep-learningdecodernetwork-architectureencoderdenoising
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