Harshal Kamble

Schnittstelle zwischen Business und Technologie komplexe Anforderungen in präzise Datenkonzepte übersetzt. Legacy-SQL re-engineered, Laufzeit um 60% reduziert, Vertrauen mit 50+ Stakeholdern aufgebaut. 8+ Kernkennzahlen in Power BI / Tableau standardisiert, ETL auf Snowflake automatisiert, Time-to-Insight von 2 Tagen auf unter 1 Stunde gesenkt. KI/LLM-gestützte Anomalieerkennung in BI-Dashboards integriert für proaktive Problemvermeidung.

Built Power BI dashboards with advanced DAX measures and Power Query transformations across 5+ heterogeneous data sources, reducing executive reporting cycles by 35%. Designed SQL data models and developed Python-based predictive and anomaly-detection models, surfacing 12% process efficiency gains. Took partial project leadership of an interdisciplinary analytics team, translating ambiguous business questions into structured analytical frameworks for senior stakeholders.

Linked heterogeneous data sources across 150+ sites using advanced SQL (recursive CTEs, window functions, complex joins) on AWS Redshift with incremental loads, improving query performance by 40%. Designed star schemas in Snowflake and integrated ARIMA/Prophet forecasts into Tableau via AWS Kinesis, enabling 4× daily updates and reducing decision lag by 80%. Built Python (pandas, SQLAlchemy) validation layers and automated reporting pipelines, cutting reporting errors by 30%.

Consolidated 5+ heterogeneous data sources into a governed analytics layer using SQL and Python (pandas, pyodbc), improving data quality by 40%. Built ML pipelines (scikit-learn, XGBoost) for predictive analytics, improving accuracy from 60% to 81%. Developed Power BI dashboards with advanced DAX, row-level security, and automated refresh, saving 3 hours weekly. Built and integrated NLP/LLM pipelines (Hugging Face) for unstructured data classification at 81% semantic accuracy.

Built Power BI dashboards and BI pipelines for 80+ business units at a German-headquartered global electronics manufacturer, using advanced SQL and Excel modeling (Pivot Tables, XLOOKUPs, Power Query) to improve resource allocation efficiency by 20%. Acted as technical consultant translating business requirements into BI solutions, applied forecasting (ARIMA, regression) on multi-source datasets and drove 15% improvement in identifying high-growth opportunities.