About Me

I am a seasoned data scientist and analytics visionary with over 24 years of experience developing and leading data-driven decision-making capabilities from the ground up. Having worked across multiple countries, diverse organizational setups, and various stages of evolution, I bring a global perspective and adaptability to complex business environments. My mission is to partner with organizations that recognize data as a strategic asset and are committed to leveraging it to drive transformative growth.

Professional Overview

Throughout my extensive career, I have consistently delivered impactful outcomes by integrating advanced analytics into core business strategies across industries and geographies. My efforts have steered pivotal business decisions grounded in empirical evidence, generating several million dollars in incremental value through predictive and prescriptive modeling, data governance, and insightful analytics.

In my multifaceted roles as an analytics evangelist, data scientist, solution architect, and transformation leader, I have successfully navigated and led cross-cultural teams worldwide. My experience spans Fortune® organizations such as GE Capital, First American Corporation, Countrywide Financial Corporation, Vodafone, Reliance Industries, and Ooredoo. By staying at the forefront of industry trends while honoring proven methodologies, I offer a unique blend of innovation and reliability to any strategic environment. My inquisitive nature and commitment to excellence enable me to provide fresh perspectives that drive meaningful change.

Core Competencies

Global Experience: Extensive work across numerous countries, adapting to different organizational structures and stages of development, enhancing my ability to navigate complex, multicultural business landscapes.

Strategic Problem Solving: Expertise in addressing complex business challenges using big data frameworks, machine learning, and advanced statistical and econometric modeling across both structured and unstructured data environments.

Insight Generation: Proficient in bridging the gap between data-driven insights and intuition-based decision-making, ensuring outcomes that are both analytically sound and practically valuable.

Leadership & Collaboration: Adept at interfacing with senior executives, cross-functional teams, external partners, and vendors to drive analytics initiatives that deliver tangible business results.

Machine Learning & AI Expertise

Recommendation Systems: Crafting algorithms that personalize user experiences and enhance engagement.

Natural Language Processing (NLP): Leveraging textual data to extract actionable insights and inform strategy.

Classification Algorithms: Developing predictive models that categorize data with high accuracy for forecasting and decision support.

Game Theory Applications: Applying strategic modeling to optimize competitive positioning and resource allocation.

Artificial Intelligence (AI): Integrating AI solutions to automate processes, improve efficiency, and drive innovation.

Technical Proficiency

• Data Warehousing (DWH): Building robust, scalable data storage solutions that ensure data integrity and accessibility.
• Big Data Analytics: Harnessing large-scale datasets to uncover hidden patterns and drive strategic initiatives.
• Machine Learning Implementation: Deploying advanced machine learning models to solve complex business problems.
• Digital Transformation: Leading organizations through the adoption of digital technologies to enhance agility and competitiveness.
• Data Visualization: Creating compelling visual narratives that translate complex data into clear, actionable insights.

Industry Expertise

Banking & Fintech: Enhancing financial strategies and risk management through sophisticated analytics.

Insurance (CAT, Reinsurance, Liability): Improving underwriting precision and claims efficiency with predictive modeling.

Telecommunications (Quad Play): Driving customer acquisition, retention, and revenue growth through data-driven insights.

Digital Marketing & E-commerce: Maximizing ROI by leveraging analytics for targeted marketing and personalized customer experiences.

Internet of Things (IoT): Exploiting IoT data to optimize operations and unlock new business opportunities.