Divija Kapuluru

Jacksonville,FL

Summary

Experienced Machine Learning Engineer over8 years in designing and deploying AI/ML solutions, specializing in Natural Language Processing (NLP), generative AI, and Large Language Models (LLM)and marketing analytics. Skilled in Media Mix Modelling, A/B testing, and causal inference to optimize marketing strategies and ROI. Proficient in building configurable AI/ML data pipelines across the MLOps lifecycle and designing scalable solutions for contact center optimization. Hands-on experience with cloud infrastructure (AWS SageMaker, Snowflake, Google BigQuery).Adept at applying responsible AI principles, model evaluation, and monitoring, with a proven ability to explain complex concepts to technical and non-technical audiences. Passionate about mentoring engineers and fostering collaboration across multifunctional teams to solve ill-defined problems and deliver impactful results.

Overview

years of professional experience

Certification

Work History

AI/ML Engineer

Maximus

Reston, VA

02.2022 - Current

Call Transcript Summarization:
Designed and implemented LLM-based pipelines to summarize customer call transcripts, reducing processing time by40% and achieving95% accuracy in key insight extraction
Deployed models in production to streamline customer feedback analysis across3 internal teams
Voice-to-Text Optimization:
Optimized advanced NLP models to support voice-to-text pipelines, resulting in a15% reduction in error rates
Collaborated with cross-functional teams to integrate the solution into existing analytic tools
Enterprise RAG Application:
Developed and implemented a Retrieval-Augmented Generation (RAG) pipeline, leveraging vectorized embeddings and Knowledge Graphs to improve document retrieval accuracy by30%
Integrated the pipeline with enterprise search systems, benefitting over5 internal teams
Automated Text Classification:
Implemented text classification automation for IT tickets using advanced techniques like Transformers (BERT, XLNET) and Spark NLP
Identified interventions to boost revenue and cut costs in the KSA Employee referral program
Used clustering techniques to pinpoint optimal employee cohorts, enhancing program effectiveness and efficiency

Research Data Scientist

LTI

Chenoa, CA

01.2020 - 03.2025

Developed and deployed media mix models (MMM) to measure and optimize marketing spend across channels, resulting in a20% increase in marketing ROI
Built data-driven attribution models to evaluate the impact of paid media campaigns, improving budget allocation efficiency by15%
Collaborated with marketing teams to define and test strategies that enhanced customer acquisition and reduced churn rates by10%
Conducted causal inference analysis to assess the long-term impact of marketing initiatives, providing insights that influenced high-stakes investment decisions
Designed CLV prediction models using historical transactions and engagement data to prioritize high-value customer segments, increasing retention rates by15%

Associate Data Scientist

Hitachi

Charlotte, NC

06.2016 - 01.2020

Customer Segmentation and Behavior Analysis:
Designed and implemented an RFM-based segmentation using KMeans clustering model to classify customers into actionable categories and driving targeted marketing strategies
Enhanced retention rates by15% and improved marketing ROI by20% by enabling personalized campaigns for high value and churn prone segments
Delivered insights through interactive dashboards in Tableau, streamlining marketing decision-making and campaign monitoring
Implemented statistical techniques such as regression, clustering, classification and time series analysis on large datasets
Assisted in developing machine learning algorithms for predictive modeling tasks
Designed models, algorithms and visualizations to distill insights from huge volumes of data

Education

Master of Science Masters - Data Analytics(Marketing)

Pennsylvania State University

University Park, PA

Master of Science Bachelors - Computer Science And Engineering

RMK ENGINEERING COLLEGE

07.2016

Skills

Programming languages: Python, SQL, R
Generative AI & LLMs: Expertise in GPT, Mistral, T5, BERT for text summarization, generation and dialogue systems
Deep learning: Proficient in TensorFlow, PyTorch for building and deploying AI models
Natural Language Processing(NLP):Experience in text generation, summarization, tokenization, and sentiment analysis

Machine Learning: Skilled in media mix modelling(MMM), regression, clustering, XGBoost Causal Inference & Experimentation: Expertise in A/B testing, propensity score matching, and uplift modeling
Cloud & Big Data: Experience with AWS SageMaker, snowflake, Google BigQuery for scalable data processing
Recommender Systems: Knowledge of collaborative filtering, content-based filtering, and hybrid models
Data Visualization: Proficient in Tableau, Power BI, matplotlib to create data -driven insights