Turning complex data into clarity, strategy, and growth
I specialize in machine learning, predictive modeling, and end-to-end data science pipelines — transforming raw data into strategic insights and automated solutions. My work bridges technical innovation and business performance using Python, SQL, Excel and Power BI, delivering results that drive measurable growth and efficiency.
Like a translator between data and decisions, I turn complex models into actionable tools (e.g., my Bank Churn Predictor or A/B Testing Framework). Passionate about building solutions that scale from prototype to production.
Built a machine learning model to predict customer churn with 92% accuracy, helping businesses reduce attrition by 25%.
A/B testing and timing optimization drove a 42% engagement boost, unlocking rapid performance gains for conservation messaging.
Precision segmentation and targeted offers generated a $2.3M revenue opportunity, with VIPs and top customers driving the majority of sales.
Advanced time series models (SARIMA & Prophet) deliver actionable sales forecasts, supporting strategic planning and business growth.
Comprehensive financial analysis reveals BMW’s strong profitability rebound and offers strategic insights for sustained growth.
Data-driven marketing and regional strategies target key demographics and channels, aiming to maximize order growth and engagement.
Dashboard insights highlight insurance coverage gaps and routine checkup trends, guiding public health interventions.
A/B Testing delivering a remarkable +207% increase in click-through rate with 99.9%+ statistical confidence.