Summary
Overview
Work History
Education
Skills
Additional Experience (2012 to 2017)
Timeline
Generic

Shravan Chintha

New York

Summary

Data science professional with 8+ years of experience in developing and scaling machine learning and deep learning models, focusing on recommendation systems and predictive analytics. Expertise in designing solutions that enhance user engagement and drive measurable business outcomes. Demonstrated ability to mentor teams and translate complex data challenges into actionable insights for organizational growth. Recent experience features the implementation of Gen AI, LLMs, and Agentic AI workflows into production to enhance content generation, elevate user interactions, and unlock new value streams across business functions.

Overview

7
7
years of professional experience

Work History

Lead Data Scientist

Saks Global
New York
07.2021 - Current
  • Designed and launched the “Complete the Look” recommendation feature using vision and text transformers, deep neural networks, and reinforcement learning agents, significantly boosting user engagement, conversion rates, and browsing time.
  • Built a promotional impact model employing causal inference and advanced statistical techniques, with automated data workflows and retraining orchestrated via Apache Airflow for scalable, repeatable analysis.
  • Developed and maintained robust ML pipelines for our internal platform, MODE, enabling personalized recommendation models, image similarity models, and segmentation models.
  • Deployed open-source LLMs (Llama) to automate the generation of high-quality product copy for fashion items, streamlining content creation for copywriting teams.
  • Established ML infrastructure best practices by implementing CI/CD pipelines, automated testing, Docker containerization, Kubernetes orchestration, MLflow for experiment tracking, and Airflow-driven workflow automation—ensuring reliable, reproducible, and efficient deployment of machine learning solutions at scale.

Sr Data Scientist

Omnicom Group
New York
09.2018 - 07.2021
  • Developed the Viral Prediction Score (VPS) for the Facebook Ad team by experimenting with and benchmarking advanced time series models (Prophet, ARIMA, VAR), and custom ensemble techniques to accurately quantify and forecast the viral potential of social media content.
  • Engineered and maintained AI-driven platforms (e.g., Sparks & Honey’s Q), applying cutting-edge research in model retraining, drift detection, and performance monitoring, using MLOps tools such as MLflow for robust automation.
  • Explored and implemented advanced NLP methods—including topic modeling, aspect-based sentiment analysis, and multimodal (image-text) classification—to generate actionable insights and automate content categorization for major consumer brands.
  • Implemented applied research and prototyping of deep learning models for fine-grained fashion attribute extraction through combination of object detection and image classification with advanced methodologies like ontology-guided supervised contrastive learning and multimodal (image-text) representation learning, meticulously evaluating cutting-edge algorithms to boost attribute recognition accuracy and facilitate large-scale product tagging.

Education

Master of Science - Data Analytics Engineering

George Mason University
Fairfax, VA
05-2018

Bachelor of Science - Electrical Engineering

Gokaraju Rangaraju Institute of Technology
Hyderabad
05-2012

Skills

Technical skills

  • Machine learning
  • Deep learning (CNNs, transformers)
  • Causal inference, statistical modeling
  • Time series forecasting, predictive modeling
  • Model deployment and ML Ops
  • Programming: Python, R
  • Database management: SQL, Snowflake, VectorDB

Tools and libraries

  • Scikit-learn, PyTorch, and TensorFlow
  • Pandas, NumPy, SciPy
  • MLflow, Airflow, Docker, Kubernetes
  • Tableau, Looker

Cloud and infrastructure

  • AWS, GCP (for ML model training and deployment)

Additional Experience (2012 to 2017)

Worked as a Senior Data Analyst at Accenture and Tata Consultancy Services for 5 years in India. Specialized in analyzing and interpreting customer service, marketing, and sales data for global clients, uncovering key trends and actionable insights to guide business decisions. Designing and presenting comprehensive reports and visualizations, supporting performance measurement, and conducting in-depth statistical analysis to identify patterns and anomalies.

Timeline

Lead Data Scientist

Saks Global
07.2021 - Current

Sr Data Scientist

Omnicom Group
09.2018 - 07.2021

Master of Science - Data Analytics Engineering

George Mason University

Bachelor of Science - Electrical Engineering

Gokaraju Rangaraju Institute of Technology

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Shravan Chintha