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I'm a data scientist and Generative AI engineer with 4+ years of experience in data modeling, statistical analysis, machine learning, and computer vision. I design predictive models and optimize deep learning architectures using PyTorch and TensorFlow, translating complex data into actionable product and clinical insights. I routinely work with SQL, Python, and R to conduct end-to-end statistical studies that inform research and product decisions. I enjoy collaborating with product, engineering, and clinical research teams to evaluate performance in retrospective studies and validate product improvements. I am proficient in cloud platforms (AWS), edge inference optimization, and building scalable analytics pipelines and dashboards that drive business impact. I thrive on hypothesis testing, experimental design, and delivering actionable, data-driven results.…I'm a data scientist and Generative AI engineer with 4+ years of experience in data modeling, statistical analysis, machine learning, and computer vision. I design predictive models and optimize deep learning architectures using PyTorch and TensorFlow, translating complex data into actionable product and clinical insights. I routinely work with SQL, Python, and R to conduct end-to-end statistical studies that inform research and product decisions. I enjoy collaborating with product, engineering, and clinical research teams to evaluate performance in retrospective studies and validate product improvements. I am proficient in cloud platforms (AWS), edge inference optimization, and building scalable analytics pipelines and dashboards that drive business impact. I thrive on hypothesis testing, experimental design, and delivering actionable, data-driven results.

Shyamsundhar Yathirajam

Data Scientist, AI Engineer, Full Stack Developer, +2

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I'm a data scientist and Generative AI engineer with 4+ years of experience in data modeling, statistical analysis, machine learning, and computer vision. I design predictive models and optimize deep learning architectures using PyTorch and TensorFlow, translating complex data into actionable product and clinical insights. I routinely work with SQL, Python, and R to conduct end-to-end statistical studies that inform research and product decisions. I enjoy collaborating with product, engineering, and clinical research teams to evaluate performance in retrospective studies and validate product improvements. I am proficient in cloud platforms (AWS), edge inference optimization, and building scalable analytics pipelines and dashboards that drive business impact. I thrive on hypothesis testing, experimental design, and delivering actionable, data-driven results.…I'm a data scientist and Generative AI engineer with 4+ years of experience in data modeling, statistical analysis, machine learning, and computer vision. I design predictive models and optimize deep learning architectures using PyTorch and TensorFlow, translating complex data into actionable product and clinical insights. I routinely work with SQL, Python, and R to conduct end-to-end statistical studies that inform research and product decisions. I enjoy collaborating with product, engineering, and clinical research teams to evaluate performance in retrospective studies and validate product improvements. I am proficient in cloud platforms (AWS), edge inference optimization, and building scalable analytics pipelines and dashboards that drive business impact. I thrive on hypothesis testing, experimental design, and delivering actionable, data-driven results.

Available to hire

I’m a data scientist and Generative AI engineer with 4+ years of experience in data modeling, statistical analysis, machine learning, and computer vision. I design predictive models and optimize deep learning architectures using PyTorch and TensorFlow, translating complex data into actionable product and clinical insights. I routinely work with SQL, Python, and R to conduct end-to-end statistical studies that inform research and product decisions.

I enjoy collaborating with product, engineering, and clinical research teams to evaluate performance in retrospective studies and validate product improvements. I am proficient in cloud platforms (AWS), edge inference optimization, and building scalable analytics pipelines and dashboards that drive business impact. I thrive on hypothesis testing, experimental design, and delivering actionable, data-driven results.

Skills

Experience Level

Expert

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Language

English

Fluent

Work Experience

Data Scientist at Intuit, USA

January 1, 2015 - Present

Designed and deployed intelligent recommendation systems leveraging Large Language Models to enhance product suggestions and personalized financial insights across Intuit's platforms, improving user engagement and discoverability. Built a hybrid recommendation engine combining collaborative filtering and content-based techniques (ALS, SVD), achieving a 15% increase in user conversion and 20% improvement in content discoverability. Implemented on-device performance optimizations and containerized ML apps with Docker and Kubernetes; developed real-time analytics dashboards in Tableau; led ETL optimization with Spark/Hadoop/Hive; built NLP sentiment analysis pipelines with spaCy/NLTK; deployed scalable ML pipelines on AWS (S3, DynamoDB, Lambda, EC2, SageMaker).

Research Data Scientist at California State University, USA

June 1, 2023 - December 1, 2024

Improved data processing speeds by 55x with hyperdimensional computing on CPU/GPU; achieved 98% CNN performance gains by benchmarking and optimizing Python implementations. Analyzed wind farm oscillation data using Fourier transforms for feature extraction. Developed a healthcare-focused conversational AI chatbot using Rasa; built end-to-end ML pipelines for reproducible experimentation; published 6 peer-reviewed papers; conducted A/B testing to evaluate model performance; leveraged GCP BigQuery and Cloud Storage for large-scale data management; engineered hardware-in-the-loop workflows for deploying ML models to edge devices (NVIDIA Jetson) for real-time inference.

Data Scientist at Jade Global Software Pvt. Ltd, India

January 1, 2020 - July 1, 2022

Built time-series forecasting models using Prophet and XGBoost with feature engineering that increased forecast accuracy by 32% and reduced stockouts by 18%; designed and deployed end-to-end ETL pipelines using Apache Airflow and Apache Spark, boosting data processing efficiency by 35%; developed ML-based customer segmentation improving marketing targeting by 43%; led A/B testing with robust statistical methods, resulting in a 25% increase in user engagement and a 15% reduction in bounce rates; performed in-depth EDA to uncover user behavior patterns and business drivers.