Saketh Saridena

Data Science Consultant @ Applexus | M.S. Data Science, CU Boulder

Role
Data Science Consultant at Applexus Technologies
Location
Seattle, WA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Saketh Saridena

Data Science Consultant building production ML systems using LLMs, NLP, and computer vision. Patent holder and researcher with end-to-end ML pipeline expertise.At Applexus Technologies, I develop AI-powered analytics platforms for enterprise clients:→ Built an EDA platform with 50+ statistical tests and LLM interpretation, reducing analysis time by 95%→ Assessed AI/ML feasibility for 10+ enterprise use cases across manufacturing and oil & gas→ Designed demand forecasting and spend analytics frameworks targeting 15-20% cost savingsPrevious experience includes:→ Honda Research Institute: Deployed GPT-4 data preprocessing pipelines, reducing manual effort by 60%→ Pucho Digital Health: Built ResNet50 diagnostic models with 85% production success rate→ VIT-AP AIR Center: Co-authored patent and publication on intelligent systems M.S. Data Science, University of Colorado Boulder (4.0 GPA) B.Tech Computer Science, VIT (9.07/10 GPA) Patent: Intelligent Traffic Control System (Ref. 20••••••••39) Automated Monitoring System for Healthier Aquaculture FarmingTech: Python, PyTorch, TensorFlow, GPT-4, LLaMA, AWS, Azure, Docker, SQL, TableauOpen to: Data Scientist, ML Engineer, and Data Analyst roles s••••••••@gmail.com

Experience

  1. Data Science Consultant

    Applexus Technologies

    Nov 2025 — Present · Federal Way, WA, US

    Building AI-powered analytics and intelligent business solutions for enterprise clients in manufacturing and oil & gas sectors- Engineered an AI-powered EDA platform using Python, Node.js, and Electron, integrating 50+ statistical tests, local LLM interpretation (Ollama), and automated PPTX/PDF reporting, reduced client EDA cycle time by 95% and increased project capacity by 200%- Collaborate cross-functionally with business and engineering teams to assess AI/ML feasibility for 10+ enterprise use cases, performing feature engineering and ML readiness evaluation using Isolation Forest and PCA, reduced project scoping time by 80%- Develop spend analytics and demand forecasting frameworks using Azure Databricks and SAP Analytics Cloud, designing ETL pipelines and predictive models for procurement and inventory optimization, targeting 15-20% cost savingsTechnologies: Python, Azure Databricks, SAP Analytics Cloud, Ollama, LLMs, Electron, Node.js, Isolation Forest, PCA, ETL

Education

  • Vellore Institute of Technology

    Bachelor of Technology - BTech, Computer Science with specialisation in Data Analytics

  • University of Colorado Boulder

    Master's, Data Science

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Saketh Saridena — Data Science Consultant at Applexus Technologies in Seattle, WA, US | Unifers