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Staff Data Scientist - Machine learning Engineer
Over 12 years of experience in Data Science and Machine Learning across diverse fields, including personal finance, retail, professional finance, and healthcare. Proven ability to analyze complex data and collaborate closely with customers to deliver tailored AI solutions that address real-world needs. End-to-end expertise in building, deploying, and monitoring machine learning models in production. Passionate about staying at the forefront of AI advancements, with recent work focused on developing services that leverage cutting-edge LLMs.
Georgia Institute of Technology
Master of Science - MS, Analytics (Computational Data Analytics)
January 1, 2019 – January 1, 2020
Chaitanya Bharathi Institute Of Technology
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering
January 1, 2008 – January 1, 2012
Clari
Staff Data Scientist
February 1, 2025 – Present
Sunnyvale, California, United States
Clari
Senior/Lead Data Scientist
December 1, 2021 – April 1, 2025
Sunnyvale, California, United States
Accelitas, Inc.
Senior Data Scientist - Machine learning Engineer
September 1, 2017 – December 1, 2021
Petaluma, California, United States
American College of Cardiology
Data Scientist
June 1, 2017 – July 1, 2017
Washington DC-Baltimore Area
Infosys
Data Scientist
June 1, 2012 – December 1, 2015
Greater Hyderabad Area
DRDL (Defence Research and Development laboratory)
Intern
June 1, 2011 – July 1, 2011
Greater Hyderabad Area
Google Project Management Certificate
June 24, 2026 – Present
Generative AI with Large Language Models
DeepLearning.AI
June 24, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 24, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Unordered Data Structures
University of Illinois Urbana-Champaign | Coursera
June 24, 2026 – Present
Accelerated Computer Science Fundamentals Specialization
University of Illinois Urbana-Champaign | Coursera
June 24, 2026 – Present
Ordered Data Structures
University of Illinois Urbana-Champaign | Coursera
June 24, 2026 – Present
Object-Oriented Data Structures in C++
University of Illinois Urbana-Champaign | Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background across various industries (sales tech, financial services, healthcare, e-commerce, defense) and a consistent progression in data science roles. The experience with LLMs and generative AI indicates a proactive approach to learning new technologies. The target role is 'Data Analyst', but the candidate's experience is heavily skewed towards 'Data Scientist' and 'Machine Learning Engineer' roles, which might indicate a potential mismatch in scope or a desire to transition. The breadth of skills and project diversity suggest adaptability and a willingness to tackle different challenges.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate strong problem-solving abilities, leadership in technical projects, and collaboration with stakeholders (CTO, sales teams). The ability to simplify model interpretability for non-technical clients suggests good communication and stakeholder management skills. The focus on end-to-end ML lifecycle management implies a structured and operational mindset.