Ronak

Demonstrated experience with Power BI.

Demonstrated experience with DAX.

Demonstrated experience with Power Query.

Demonstrated experience with Tableau.

Demonstrated experience with Looker Studio.

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%.

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.

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%.

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.