Ajay Sampath
LYNWOOD,WA
Summary
Data Scientist with experience in Generative AI Systems and Large Language Models at Amazon. Expertise in predictive modeling and clustering algorithms, achieving significant results through collaboration. Passionate about driving innovation in data-centric projects.
Overview
18
18
years of professional experience
Work History
Data Scientist
Amazon
Seattle, WA
10.2020 - Current
- Launched an LLM-based system to evaluate 800,000 monthly live contacts, attaining 90% alignment with SME evaluations through hybrid methodology.
- Engineered an LLM-powered model for HRSC case tagging on 1.7 million monthly cases, achieving 87% accuracy and eliminating manual TRD assignment.
- Led science development for "Ask Anything," a multi-turn LLM chatbot serving 4,000+ advisors, improving response time by 25% with 85% accuracy.
- Developed hybrid framework (BERT, LDA, K-Means) for verbatim survey analysis, decreasing manual review time by 90%.
Data Scientist
CenturyLink
Denver, Colorado
02.2018 - 10.2020
- Developed regression models predicting deal win probability with 85% accuracy.
- Managed large-scale data models (32 tables, 65 columns, 50 million rows) in Databricks and SQL to support data-driven decision making.
- Employed clustering algorithms to identify high-potential revenue buildings for Century Link, resulting in targeted investment strategies.
- Conducted geo-spatial analytics in R to identify profitable areas and competitors.
- Utilized tidy and purrr packages for efficient data analysis and processing.
- Enhanced sales follow-up on high probability deals, increasing win rate by 10%.
- Facilitated proactive investments in additional services pre-customer marketing, which contributed to securing more deals.
- Performed data wrangling through public and private APIs for comprehensive datasets.
Data Scientist/Engineer
PND Engineers Inc.
Seattle, Washington
01.2009 - 01.2018
- Conducted time series and predictive analysis on weather and climate data, informing marine infrastructure design criteria.
- Applied extreme value distribution methods (Weibull, Gumbel, Fréchet) to accurately forecast vessel downtime at ports, enhancing operational planning.
- Employed NumPy and Pandas in Python, along with dplyr and tidyverse in R, to clean data sets.
- Utilized seaborn, SciPy, and matplotlib for exploratory data analysis and visualizations, supporting data-driven decision-making across multiple projects.
- Represented company at international conferences like PIANC and local events such as ASCE, sharing research findings.
Research Assistant
University of Florida
Gainesville, Florida
01.2008 - 05.2009
- Applied numerical models such as OpenFOAM, SWAN, OGWAVE, Python (NumPy and SciPy) and MATLAB for research
- Conducted field work involving wave and current measurements and sediment sample collection, contributing to data for ongoing research
- Supported graduate advisor, visiting professors, and doctoral students in conducting research projects, enhancing collaborative efforts
- Developed thesis on sedimentation of Lake Apopka mud, comparing findings with other sediment types to advance understanding of sediment dynamics
Education
Master of Science - Coastal Engineering
University of Florida
Gainesville, Florida01.2009
Bachelor of Science - Marine Engineering
Birla Institute of Technology and Science
01.2006
Skills
- Clustering algorithms
- Gradient boosting
- Machine learning
- Predictive modeling
- Python programming
- Deep learning
- Natural language processing
- Prompt engineering
- Fine-tuning large language models
- Generative AI systems
Publications
- Redefining Human Contact Analysis: LLM Powered Framework for Response Evaluation and Proactive Escalation Prediction - Amazon Machine Learning Conference (AMLC 2024)
- Topic Extraction from Short-Text Verbatim Feedback - Amazon Machine Learning Conference (AMLC 2021)
- Comparison of Breakwater Technologies for Small Boat Harbors - Proceedings of the 2014 PIANC World Congress, San Francisco, USA · Jul 1, 2014
- Kodiak Pier 3 - Ship Motion Tests for a Solid Fill and Pile-Supported Pier - ASCE · Aug 19, 2013
Timeline
Data Scientist
Amazon
10.2020 - Current
Data Scientist
CenturyLink
02.2018 - 10.2020
Data Scientist/Engineer
PND Engineers Inc.
01.2009 - 01.2018
Research Assistant
University of Florida
01.2008 - 05.2009
Master of Science - Coastal Engineering
University of Florida
Bachelor of Science - Marine Engineering
Birla Institute of Technology and Science