yogesh _chauhan
@yogeshchauhan1
I build AI-powered ERP automation, failure prediction, and retrieval systems that reduce support effort and reporting latency.
What I'm looking for
At Facility Plus Services, I lead the ERP Workflow Observability Platform from business case through delivery, directing two contractor developers and bridging stakeholders with engineering execution.
I architect AI systems on Azure AI Search, MSSQL, GPT-4o, and Redis, including a dual-lens root-cause analysis engine, hybrid runbook classifier, scheduled health reporting, and conversational resubmission workflows for failed ERP runs.
Previously, I built failure-rate models, Teams-based risk alerts, NL2SQL chatbots, dashboards, and automated reporting workflows that cut reporting turnaround by about 70% and eliminated roughly 10 hours of weekly manual work.
I've also delivered analytics engagements across sales, HR attrition, demand forecasting, and churn, and built RAG systems, browser extensions, forecasting models, NLP classifiers, and full-stack web applications.
Experience
Work history, roles, and key accomplishments
System Automation Lead
Facility Plus Services
Jun 2026 - Present (3 months)
Leads the ERP Workflow Observability Platform, directing a team of contractor developers and architecting an AI-driven RCA engine with scheduled health reports.
BCA Student
Jagan Institute of Management Studies
Aug 2022 - Present (4 years 1 month)
Currently pursuing a Bachelor of Computer Applications (BCA) with a specialization in Data Science & Machine Learning in Python. Focused on full-stack development, data visualization, and real-time applications.
Data Scientist
Facility Plus Services
Apr 2025 - Jun 2026 (1 year 2 months)
Built ML models to predict ERP workflow failures, designed alerting systems, and automated reporting and resubmission workflows, significantly reducing manual effort.
AI Engineer
RAG System & AI Chatbot
Jan 2025 - Dec 2025 (11 months)
Architected a full-stack RAG pipeline and built an AI-powered code dictionary chatbot, improving query resolution time and driving high adoption.
Guitar Learning Platform Developer
Strum & Learn
Developed a live guitar learning portal with video courses and real-time classes using MERN stack, Firebase, Cloudinary, and Agora. Key features included an instructor portal, Agora sessions, Firebase authentication, and Cloudinary storage.
LA Traffic Accident Analysis Project
LA Traffic Department
Explored over 600,000 traffic accident records using Python, Jupyter, Pandas, Seaborn, Matplotlib, and Tableau. Identified patterns by time, location, and weather, and proposed patrol deployment strategies to reduce holiday accident spikes.
Mental Health Platform Developer
Serenity Connect
Built a secure mental health platform with real-time messaging and anonymous chat rooms using React.js, Node.js, Express.js, MongoDB, and AWS. Implemented robust authentication and backend data storage solutions.
Walmart Sales Analysis Project
Walmart
Analyzed over 6,400 sales records across 45 stores using Python, Pandas, Matplotlib, Seaborn, and Tableau. Performed feature engineering and exploratory data analysis to uncover trends and seasonality for business strategy insights.
Company Website Developer
Facility Plus Services
Built an operational portal for a facility management company using React.js and Firebase. Features included employee attendance tracking, an admin dashboard, and a secure booking system.
Education
Degrees, certifications, and relevant coursework
Jagan Institute of Management Studies
Bachelor of Computer Applications (BCA), Data Science & Machine Learning
Activities and societies: Head of Music Society, Winner of singing & guitar competitions, Coordinator: Tech & Cultural Fest
Currently pursuing a BCA with a specialization in Data Science & Machine Learning in Python. The core focus includes full-stack development, data visualization, and real-time applications.
Guru Gobind Singh Indraprastha University
Bachelor of Computer Applications, Data Science & Machine Learning
2022 - 2025
Grade: 8.3/10
Pursued a Bachelor of Computer Applications with a focus on Data Science and Machine Learning, achieving a GPA of 8.3 out of 10.
Availability
Location
Authorized to work in
Job categories
Skills
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