Senior Data Scientist
Dataquartz
مجموع سنوات الخبرة :1 years, 11 أشهر
Applied Skills: Python (Pandas, Numpy, Scikit-learn), MySQL, Airflow, DBT
- Spearheaded data preprocessing and feature engineering development in the modelling pipeline, resulting in a 20% reduction in run time.
- Employing Gradient Boosting (XGBoost, LightGBM) to derive prospective features for predictive models resulting in 7-10% increased accuracy.
- Utilized grid search optimisation to identify optimal hyper-parameters, reducing manual retraining process time by 50%.
- Developed robust production monitoring protocols resulting in a 75% reduction in client production incidents in the following months.
Applied Skills: Python (PySpark, Numpy, Pandas), Microsoft Azure, PowerBI, Scala, SparkSQL, SAP ERP, Google BigQuery
- Crafted detailed performance reports utilizing key metrics, providing quantitative insights into operational efficiency and effectiveness.
- Consolidated raw data from more than three different ERP systems into a unified meta model, streamlining it for analysis purposes.
- Scripted DAX queries to formulate metrics and KPIs on Power BI dashboards, optimizing data visualization for actionable insights.
- Infer and report factors that impact predictive model performance through statistical analysis.
- Engaged with SAP ERP system to comprehend clients resource planning data, facilitating informed decision-making processes.
Applied Skills: R-Programming, MySQL, PostgreSQL, Talend, MS Suite
- Generated over €0. 5 million in monthly revenue in this period, across all managed telcos and utility companies in the European region.
- Performed advanced analytics to develop precise customer segmentation models, achieving 5% incremental revenue targets for the company.
- Utilised permutation importance for feature selection to pinpoint key predictors, enhancing model precision through feature engineering.
- Applied bayesian statistics and regression techniques to rank entities with over 95% accuracy, leading to expected production performance.