Jenish Jiyani
Business Intelligence Engineer | Analytics Engineer | Data Analyst
Talent
Jersey CityMember since June 26, 2026
PythonSQLDAXMySQLSnowflakeAWS S3AWS AthenaLogistic RegressionXGBoostForecastingNumPyPandasScikit-learnPower BITableauReporting AutomationSHAP
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PythonSQLDAXMySQLSnowflake
About
BI and Analytics professional with 4+ years building SQL, Python, AWS, Snowflake, Power BI, and Tableau solutions for large-scale business and healthcare datasets. Specialized in KPI engineering, ETL automation, forecasting, risk modeling, dashboard development, and stakeholder-facing decision support.
Experience
Business Intelligence Developer at DWIJA LLC (2025-01 – Present)
- Built executive BI systems for user analytics, revenue tracking, forecasting, and KPI reporting using Python, SQL, Power BI, Tableau, AWS, and Snowflake.
- Analyzed 20M+ monthly active user records to uncover behavior trends, campaign patterns, and sales opportunities, improving promotional sales performance by 24%.
- Developed risk and sales forecasting models using logistic regression, XGBoost, and Python, improving forecast accuracy by 28% and reducing $35K in annual avoidable cost.
- Automated recurring reporting pipelines and optimized AWS Athena queries on S3 datasets, reducing query runtime by 30% and saving 28 hours/month.
- Designed Snowflake data models, Power BI dashboards, Tableau reports, and DAX measures for revenue, retention, campaign, and operational KPI tracking.
Data Analyst II at Scalelot Technologies (2020-01 – 2022-12)
- Built healthcare analytics workflows for patient risk, ER operations, cost analysis, reporting automation, and data accessibility using Python, SQL, Power BI, MySQL, and AWS S3.
- Analyzed 500K+ hospital records with Python, NumPy, Pandas, and SQL to identify patient-flow trends, cost patterns, and operational bottlenecks, improving analysis speed by 37%.
- Developed high-risk patient classification models using logistic regression and XGBoost, improving early risk identification by 18% for clinical operations planning.
- Designed ETL pipelines and automated weekly reporting workflows, reducing data processing time by 40% and manual reporting effort by 20%.
- Created real-time Power BI dashboards with MySQL-backed reporting layers and DAX measures, reducing ER waiting time by 28% and improving data accessibility by 27%.
Education
Master of Science in Business Intelligence and Analytics – Stevens Institute of Technology (2024-12)
Bachelor of Science in Information Technology – Auro University (2022-05)
Skills
Business Intelligence EngineerAnalytics EngineerData Analyst
