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Ronak
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Competencies
Demonstrated experience with Power BI.
Demonstrated experience with DAX.
Demonstrated experience with Power Query.
Demonstrated experience with Tableau.
Demonstrated experience with Looker Studio.
Education
Summary
Professional profile
Experience
Business Intelligence Analyst
Design, develop, and validate 6 mission-critical Power BI and Tableau dashboards and operational reports across 4 transaction systems, sustaining a 99.9% reporting-accuracy threshold for management analysis.. Engineer SQL ETL pipelines with validation checkpoints to reconcile and ensure data consistency across multiple source systems, reducing operational data errors by 90% and enabling recurring report automation.. Analyze operational data to identify performance gaps and unfavorable trends; standardize KPI definitions across teams, reducing ad-hoc reporting requests by 60%.. Map data flows across reporting pipelines and implement process and system improvements; author data-governance documentation that reduces new-analyst onboarding time by 50%.
Business Analyst, AI Strategy
Built an end-to-end predictive analytics pipeline using Python and scikit-learn for a transportation bid-forecasting engine, achieving 75% accuracy across 500+ historical records.. Automated bid-assessment processes, reducing manual workload by 50%; presented model recommendations and SHAP-based interpretability that converted 60% legacy resistance into full adoption.
BI Analyst / Business Analyst
Built BI reporting frameworks in Power BI using DAX, Power Query, and star-schema modeling for 50+ plant managers and C-suite stakeholders, accelerating the monthly reporting cycle by 40%.. Reconciled and analyzed data across 200+ SKUs and 15+ plants to guide pricing decisions, contributing to 10% YoY revenue growth and reallocating $200K of misaligned capital.. Supported an enterprise SAP ERP data-migration project with Python validation scripts, clearing 3M+ records with zero integrity defects and reducing inventory variance from 15% to under 2%.
AI/ML Research Assistant
Designed and evaluated neural-symbolic architectures integrating Transformer/LLM models with symbolic rule engines for enterprise agent-reasoning use cases.. Built simulation pipelines and backend APIs using Python, PyTorch, pandas, and FastAPI with Git-based versioning and modular design for experimental repeatability.