Lead Data Scientist | AI/ML Expert | Data Strategy Leader
Dynamic Lead Data Scientist with 8+ years of experience in AI-driven solutions, machine learning, and data governance. Proven track record of improving operational efficiency by 40%, reducing manual intervention by 50%, and enhancing decision-making through predictive analytics.
Operational efficiency improvement
Reduction in manual processes
Increase in customer engagement
Annual revenue retained
Built a machine learning model using ensemble techniques to predict telecom customer churn with 92% ROC-AUC, enabling proactive retention strategies.
Developed predictive models using Ridge Regression and Random Forest to analyze call center data, achieving 98% accuracy in identifying high abandonment scenarios and guiding operational improvements.
Implemented LDA topic modeling to categorize custmer news, improving efficiency by 15% and reducing handling time by 10%.
NLP pipeline for sentiment classification using VADER and TextBlob with comparative analysis.
Exploratory Data Analysis of FIFA21 player dataset examining the relationship between age and performance metrics with interactive visualizations.
NLP analysis of customer service call transcripts to identify sentiment patterns and improve service quality using VADER and TextBlob.
Comprehensive analysis of soccer team metrics with interactive dashboards to evaluate team strategies and player contributions.
Machine learning system to detect fraudulent transactions with 99% accuracy using anomaly detection algorithms.
ARIMA and Prophet models to predict call center volumes, reducing staffing costs by 15% through optimized scheduling.
Predicting soccer player transfer values using performance metrics with 85% accuracy (RMSE: €1.2M).
Dynamic Lead Data Scientist with 8+ years of experience in AI-driven solutions, machine learning, and data governance. Proven track record of improving operational efficiency by 40%, reducing manual intervention by 50%, and enhancing decision-making through predictive analytics and data visualization.
I hold three Master's degrees (two MSc and one MBA) which have equipped me with both technical expertise and business acumen. My technical specialties include:
Outside of work, I'm an avid Real Madrid fan, world traveler, and enthusiast of Asian dramas. These diverse interests help me maintain creativity and bring unique perspectives to problem-solving in data science.