Harika Tipparaju Email and Phone Number

1. Built scalable ETL workflows with data validation processes, improving data quality for critical dashboards.2. Designed predictive time-series models to forecast product demand, contributing to a 15% reduction in stockouts and enhanced inventory efficiency.3. Created interactive dashboards and analytical reports, enabling business users to gain real-time insights, make data-driven decisions, and improve operational efficiency.4. Collaborated cross-functionally to develop data-driven restocking strategies, minimizing excess inventory costs by 12%.5. Conducted thorough data validation and cleaning processes with Py Spark, AWS and Azure services establishing a new standard operating procedure that improved data reliability and reduced error rates in machine learning models by 50%.

1. Automated dashboard updates, achieving a 40% decrease in report generation time.2. Conducted in-depth statistical analyses to refine credit scoring models, increasing precision by 20%.3. Delivered key insights via monthly data presentations, driving fraud prevention policies and credit scoring enhancements.4. Engineered ETL pipelines, enabling seamless data aggregation from multiple financial institutions. 5. Developed a machine learning-based fraud detection model in Python, accurately identifying high-risk transactions.6. Partnered with clients to translate complex data findings into actionable insights, maintaining a 100% satisfaction rate.7. Led initiatives to define data quality standards, troubleshoot data issues, and enhance reporting processes.

1. Employed sentiment analysis using Python (NLTK, TextBlob), enhancing campaign quality and increasing positive sentiment by 18%.2. Automated ETL processes with SQL scripts, cutting manual data processing time significantly.3. Utilized K-means clustering to segment customer demographics for targeted marketing, boosting engagement by 36%.4. Designed real-time Power BI dashboards, optimizing product pricing strategies, and increasing seasonal revenue by 15%.5. Executed detailed SQL-based pricing analyses to inform and refine marketing and sales strategies.