Nisha Siddarama Gowda

Built predictive models in Python to improve product recommendations, boosting CTR by 17%.  Analyzed large datasets using SQL and Pandas to uncover customer behavior insights.  Created interactive dashboards in Power BI and Tableau for marketing and product teams.  Automated model training pipelines using AWS (S3, Lambda) and Airflow.  Presented findings to non-technical stakeholders and supported decision-making with data-driven insights.

Developed and deployed predictive maintenance models for wind turbines using Python and AWS, improving fault detection and reducing downtime by 30%.  Collaborated with domain experts and engineers to design ML pipelines for real-time anomaly detection and performance optimization. Regularly presented insights to technical and non-technical stakeholders.  Built interactive dashboards using Power BI, automated workflows with Airflow and versioned code using Git.

• Enhanced data retrieval performance by 35% through complex SQL query design and execution. • Developed and maintained Power BI dashboards, boosting marketing campaign effectiveness by 30%. • Conducted A/B testing, increasing ROI by 15% through refined marketing strategies. • Collaborated with stakeholders, aligning data solutions with business objectives and achieving a 95% satisfaction rate. • Utilized advanced MS Excel functionalities for data analysis and reporting.

• Automated data collection pipelines using advanced web scraping techniques, improving efficiency by 35%. • Transformed raw data into clean datasets with 99% accuracy for analytics projects. • Conducted exploratory data analysis (EDA) to extract actionable insights aligned with business goals. • Optimized project workflows, boosting overall team efficiency by 25%. Skills: Python, Web Scraping, Data Cleaning, Exploratory Data Analysis (EDA)

• Specialization: Data Visualization, Analytics Engineering, Cloud Computing. • Thesis: Evaluated ChatGPT’s Python coding skills against human-written programs.