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.
<p>Developing and deploying machine learning models for customer behavior analysis using scikit-learn and Python<br>
Building scalable ETL pipelines processing 50K+ daily customer interactions using SQL and Python<br>
Creating automated reporting dashboards using Power BI with DirectQuery, achieving 60% reduction in manual reporting time<br>
Implementing A/B testing frameworks and statistical analysis for business hypothesis validation<br>
Built robust data preprocessing pipeline using pandas for handling missing values and outliers<br>
Developed customer segmentation model identifying 5 distinct customer groups using K-means clustering<br>
Created automated reporting system reducing weekly reporting time from 8 hours to 45 minutes<br>
Implemented data quality validation framework using Python and SQL</p>
<p>Led implementation of supply chain analytics platform using Python and Power BI<br>
Developed predictive models for inventory optimization using time series analysis<br>
Created automated KPI monitoring system processing 100K+ daily transactions<br>
Managed team of 3 analysts, implementing agile methodology for analytics projects<br>
Reduced inventory costs by 25% through implementation of data-driven optimization models<br>
Improved forecast accuracy by 30% using statistical modeling and machine learning<br>
Developed real-time supply chain dashboard used by C-level executives<br>
Implemented automated anomaly detection system reducing error detection time by 70%</p>
<p>Conducted supply chain data analysis using Python and SQL<br>
Developed and maintained automated reporting systems using Power BI and Excel<br>
Built statistical models for demand forecasting and inventory optimization<br>
Collaborated with business teams to identify and solve operational inefficiencies<br>
Utilised pandas and NumPy for data manipulation and analysis<br>
Created SQL stored procedures for efficient data processing<br>
Developed Power BI reports with advanced DAX calculations<br>
Implemented automated data validation using Python</p>
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