
Nisha Siddarama Gowda
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Nisha Siddarama Gowda
-Built end-to-end data pipelines and analytical solutions in Python and SQL, integrating and cleaning multi-source datasets across multiple client projects. -Developed predictive models using Scikit-learn, increasing CTR by 17% via A/B testing. -Analysed GA4 and BigQuery conversion funnels, optimising attribution logic and driving a 5% uplift in conversion rate. -Built Power BI and Tableau dashboards for KPI tracking. Used Claude daily to accelerate analysis, automate reporting, and improve code quality
-Built and deployed production ML models (XGBoost, LSTM) in an AWS-based MLOps pipeline, reducing system downtime by 30% through predictive maintenance modeling. -Organised data using Medallion architecture to ensure data quality and governance, coordinating transformation pipelines using Airflow and AWS. -Designed Power BI dashboards for anomaly detection KPIs. -Partnered with stakeholders across data science and operations to translate technical outputs into actionable insights.
- 1 Jahr und 9 Monate, Dez. 2019 - Aug. 2021
Data Analyst
Quality Theorem
-Built and maintained dbt models and ETL pipelines using advanced SQL, integrating CI/CD practices and data lineage documentation to ensure pipeline reliability and integrity. -Designed and executed complex SQL queries for campaign performance reporting, improving data retrieval efficiency by 35%. -Conducted statistical A/B testing, delivering actionable insights that drove a 15% increase in marketing ROI. -Collaborated with marketing and product stakeholders to align deliverables with business needs.
- 6 Monate, Juni 2019 - Nov. 2019
Data Science Intern
Harman Connected Services
• 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)
Ausbildung von Nisha Siddarama Gowda
- 2 Jahre und 3 Monate, Sep. 2021 - Nov. 2023
Master of Science in Data Science
University of Applied Sciences Europe
• Specialization: Data Visualization, Analytics Engineering, Cloud Computing. • Thesis: Evaluated ChatGPT’s Python coding skills against human-written programs.
Sprachen
Englisch
C1 (Fließend)
Deutsch
B1-B2 (Gute Kenntnisse)
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