Data Scientist

Data Science & Research Waltham, England, United Kingdom

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Summary

Developed a GBM predictive model with 93% precision, reducing customer churn by 22% through targeted identification of at-risk customers.

Engineered ETL and data pipelines, leveraging NLP and opinion mining for sentiment analysis and topic modeling, pinpointing
improvement areas with 95% accuracy.

Enhanced customer retention by 97% by creating a Python-based matching system using Collaborative Filtering and Clustering
Algorithms, optimising interactions for 5,000+ customers.

Conducted advanced data analysis using Python and Pandas on loyalty metricsRecency, Frequency, and Monitoringto devise
strategic incentives, enhancing customer engagement by 89% and positively affecting over 9,000 users.

Optimised staffing efficiency by 20% through advanced time series forecasting using RNN and ARIMA models, improving resource
allocation and operational planning based on historical data analysis.

Directed customer segmentation strategies using Python and K-Means Clustering, boosting campaign conversions by 15% through
targeted, personalised messaging

Developed and maintained comprehensive dashboards in Power BI, transforming detailed operational insights on user behavioral
analytics and key performance indicators (KPIs)

Developed a Python-based predictive churn model on AWS SageMaker using Random Forest and Gradient Boosting Classifier with
hyperparameter tuning, achieving 97% accuracy and reducing churn by 124%. Utilised AWS Redshift for post model analytics and
model validation

Led creation of a price optimisation model using Python and advanced machine learning, enabling optimal pricing across national
retail networks, reducing wastage by 12%, and boosting bottom-line performance

Developed a heart attack prediction model with 98% accuracy for an insurance company, optimising underwriting processes and
saving $250K in consulting fees in one quarter by eliminating the need for external heart care professionals

Expectations

My current role is a contract position, and its about to end this month and i am currently serving my notice period. Ive had a great experience working on some really interesting projects, like building predictive models and optimising processes with machine learning. But now, Im looking for a more permanent opportunity where I can continue to grow and contribute over the long term. Im excited about the chance to do that at eBay, especially in a role where I can apply my data science skills to make a real impact.