Open to opportunities

Ronak Khan

@ronakkhan

Business intelligence and data science professional turning analytics into stakeholder decisions and reliable, high-impact KPIs.

United States

Message

What I'm looking for

I’m looking for a role where I can build analytics and ML pipelines that translate data into decision-ready KPIs, partner closely with stakeholders, and drive measurable improvements in accuracy, adoption, and business growth.

I’m a decision-analytics and data-science professional with 4 years building statistical models, ML pipelines, and stakeholder-facing analytics that turn data into client decisions. I strengthen trust in reporting by developing anomaly-detection models, statistical data-accuracy controls, and SQL ETL pipelines with validation checkpoints, including maintaining 99.9% reporting accuracy across Tableau dashboards. I also standardize KPI definitions through clear presentations to reduce confusion and accelerate execution across teams.

I’ve contributed across transportation, fintech, and manufacturing—developing predictive algorithms using text mining and supervised ML, and translating SHAP interpretability into clear business implications for senior leaders. In enterprise environments, I deliver scalable BI and analytics using Tableau/Power BI, DAX/Power Query, and data-migration support for SAP ERP deployments with high integrity. My approach blends rigorous analytics (R, SQL, Python/scikit-learn) with cloud delivery (GCP Vertex AI, AWS) and strong data governance and client communication.

Experience

Work history, roles, and key accomplishments

Current

Business Intelligence Analyst

Current

ProCareer

Nov 2025 - Present (8 months)

Developed anomaly-detection models and data-accuracy controls across four transaction systems to support Tableau dashboard reporting. Built SQL ETL pipelines with validation checkpoints and standardized KPI definitions to reduce operational errors and ad-hoc clarification requests.

Anomaly Detection Statistical Modeling SQL ETL Data Validation Tableau Stakeholder Communication Data Governance Documentation

Executive Business Analyst — AI Strategy

Pinpoint Precision Engineering

Jul 2025 - Oct 2025 (3 months)

Developed predictive algorithms for an AI-driven IDOT bid-forecasting engine using text mining and supervised ML. Communicated SHAP interpretability and translated Python/scikit-learn GCP Vertex AI pipelines into business implications for senior client leaders.

predictive modeling Supervised Learning Python scikit learn Vertex AI SHAP NLP Agile Scrum Stakeholder Management Executive Communication

Business Intelligence Analyst / Business Analyst

Royal Foods

Jan 2020 - May 2023 (3 years 4 months)

Applied statistical and data-mining techniques across SKUs and plants to support pricing decisions. Designed BI reporting (DAX, Power Query, star-schema) and supported an enterprise SAP ERP data-migration workstream using Python validation scripts.

Statistical Analysis Data Mining Pricing Analytics BI Reporting DAX Power Query Star Schemas SAP ERP Python validation scripts Data Migration Data Validation

Education

Degrees, certifications, and relevant coursework

DePaul University

Master of Science in Business Analytics, Business Analytics

Grade: GPA 3.8/4.0

Activities and societies: 1st Place Graduate Capstone Award (out of 30+ teams); Dean's List.

Earned an M.S. in Business Analytics with a 3.8/4.0 GPA. Led a graduate capstone that segmented 911K+ customers into 7 behavioral clusters and identified upsell targets yielding a $6.4M revenue uplift.