Maulin Raval

Maulin Raval is an accomplished Solutions Architect and Business Intelligence (BI) professional with a robust background in data science, FP&A, cloud and edge computing, full-stack development, and AI/ML technologies. With a dual focus on AI-powered automation and financial data intelligence, Maulin is leading the way in the deployment of end-to-end AI systems while delivering operational and strategic insights across complex organizations. He currently serves as a Research & Development Architect at The University of Houston - Victoria, where he has driven advancements in artificial intelligence, business intelligence, and real-time analytics.

His recent work includes the development of cloud-based applications for financial forecasting, cost modeling, metal yield analysis, and predictive decision systems—integrating BI dashboards (Power BI, Excel, SAP), ERP systems, and statistical models to support commercial and operational planning. He has also played a key role in automating and streamlining workflows for departmental and research applications, elevating performance visibility and enterprise reporting standards.

Maulin holds a Master of Science in Industrial Engineering from The University of Houston and brings extensive technical fluency with platforms like TensorFlow, Python, Azure, AWS, Power BI, SAP, and OpenAI APIs. His core expertise includes building self-programming AI applications, automating complex business workflows, and combining AI with BI and FP&A to turn raw data into actionable insights. A published author of two books on data analytics and AI, and a patent holder, he is also a proven mentor and team leader—having trained engineers and guided cross-functional teams through successful deployments of cloud-based, finance-driven AI solutions.

I am a Lead Architect in AI/BI with 6+ years of experience specializing in Business Intelligence (BI), Data Analytics, and Financial Planning & Analysis (FP&A). My expertise lies in transforming complex data into actionable insights, optimizing decision-making processes, and driving strategic business outcomes. I have a proven track record in creating automated reporting systems, real-time dashboards, and data workflows that support operational efficiency and financial performance.

Recent Work Experience:

Solutions Architect, Data & BI | Applied AI Lab
University of Houston - Victoria (Aug 2023 - Present)
As a Solutions Architect, I focus on developing AI and BI solutions for research applications, building real-time analytics, and optimizing data workflows for strategic decision-making.

Technical Lead
Yama Impex (May 2021 - Aug 2023)
I led AI-driven projects focused on manufacturing and production data analytics. I designed real-time dashboards for inventory tracking, cost analysis, and production performance, enabling better FP&A through timely insights.

Doctoral Researcher | Statistical Modeling
University of Houston (Aug 2020 - May 2021)
As a Doctoral Researcher, I built predictive models for energy consumption forecasting and created data visualizations for power generation scheduling, providing stakeholders with insights for financial and operational planning.

Data & BI Engineer, Property Finance Modeling (Consulting Contract) 
Renewed Residences (Jan 2020 - Aug 2020)
I created automated Excel and R-based reporting for energy consumption, delivering insights into forecasting and performance for FP&A teams. I developed KPI dashboards for decision-makers in power generation.

Project Engineer
Cudd Energy Services (Aug 2017 - Jan 2020)
As a Project Engineer, I focused on building real-time dashboards for operational efficiency and cost tracking. These dashboards provided actionable insights into hydraulic fracturing operations, enabling FP&A teams to optimize budget allocations and reduce costs by 9%.

Key Technical Skills:

I possess deep expertise in Power BI, Excel (PivotTables, Macros, VBA), Data Analytics, and ERP reporting, with advanced skills in building KPI dashboards for financial and performance analysis. My experience spans financial reporting, forecasting, and statistical modeling, helping organizations optimize financial planning through better data insights.

With my blend of Business Intelligence and Data Analytics expertise, along with hands-on experience in FP&A, I am well-equipped to deliver data-driven insights that guide financial and operational decision-making.

Education:

Master of Science in Industrial Engineering (MSIE)
University of Houston — Houston, Texas, United States (2015 - 2017)
Focused on advanced industrial engineering principles, including data analysis and process optimization.

Bachelor of Technology (BTech) in Mechanical Engineering
Pandit Deendayal Energy University — Gujarat, India (2011 - 2015)
Developed a strong foundation in mechanical engineering with a focus on system design, manufacturing processes, and data-driven problem-solving.

Badges and Certifications:

Power BI Pro — Pragmatic Works (2025)

Business Analytics: Marketing Data — International Institute of Business Analysis (IIBA) (2025)

Business Process Modeling — International Institute of Business Analysis (IIBA) (2025)

Business Analysis Foundations — Project Management Institute (PMI) (2025)

Agile Requirement Foundations, Business Intelligence for Consultants — National Association of State Boards of Accountancy (NASBA) (2025)

Microsoft Azure AI Fundamentals: Explore Visual Tools for Machine Learning — Microsoft (2022)