Results-driven Data Science graduate student with demonstrated experience in predictive analytics and machine learning. Proven track record of implementing data-driven solutions in supply chain optimization and business …
Results-driven Data Science graduate student with demonstrated experience in predictive analytics and machine learning. Proven track record of implementing data-driven solutions in supply chain optimization and business intelligence. Combines strong technical capabilities with business acumen, consistently delivering measurable improvements through data analytics initiatives.
Developing and deploying machine learning models for customer behavior analysis using scikit-learn and Python
Building scalable ETL pipelines processing 50K+ daily customer interactions using SQL and Python
Creating automated reporting dashboards using Power BI with DirectQuery, achieving 60% reduction in manual reporting time
Implementing A/B testing frameworks and statistical analysis for business hypothesis validation
Built robust data preprocessing pipeline using pandas for handling missing values and outliers
Developed customer segmentation model identifying 5 distinct customer groups using K-means clustering
Created automated reporting system reducing weekly reporting time from 8 hours to 45 minutes
Implemented data quality validation framework using Python and SQL
Led implementation of supply chain analytics platform using Python and Power BI
Developed predictive models for inventory optimization using time series analysis
Created automated KPI monitoring system processing 100K+ daily transactions
Managed team of 3 analysts, implementing agile methodology for analytics projects
Reduced inventory costs by 25% through implementation of data-driven optimization models
Improved forecast accuracy by 30% using statistical modeling and machine learning
Developed real-time supply chain dashboard used by C-level executives
Implemented automated anomaly detection system reducing error detection time by 70%
Conducted supply chain data analysis using Python and SQL
Developed and maintained automated reporting systems using Power BI and Excel
Built statistical models for demand forecasting and inventory optimization
Collaborated with business teams to identify and solve operational inefficiencies
Utilised pandas and NumPy for data manipulation and analysis
Created SQL stored procedures for efficient data processing
Developed Power BI reports with advanced DAX calculations
Implemented automated data validation using Python
The AI-first Recruitment Operating System that unifies and automates the entire hiring lifecycle for modern enterprises worldwide.
Dr Job FZ LLC. 2026 © All Rights Reserved
