About me
I’m a hands-on, technology-savvy leader, entrepreneur, speaker, author, and change agent with over 20 years of experience in the IT industry. Throughout my career, I have worked with global companies like Warner Brothers Studio, E&Y, Lucent Technologies, Cisco, Electronic Arts, Kaiser, HP, Gilead Sciences, Exelixis, and DocuSign. My journey has been characterized by a passion for business analytics, predictive analytics, data strategy, data integration, Enterprise data warehouse, Salesforce, Oracle EBS, business applications (Supply Chain, Demand Planning, HR, CRM, and Finance), AI/machine learning/deep learning/Gen AI strategy and implementation, and innovative problem-solving.
I specialize in building and leading high-performance teams, managing multi-million-dollar projects, and driving strategic initiatives that align with organizational goals across diverse sectors, including manufacturing, healthcare, entertainment, gaming, hospital, SaaS, consulting, and finance. I have developed a strong foundation in data management strategies, machine learning, deep learning, Gen AI and cloud migrations (AWS/Azure), all while fostering a culture of continuous improvement and collaboration.
I believe in the power of mentorship and actively engage in sharing insights through blogging and personal coaching. My commitment to nurturing talent and encouraging innovative thinking allows teams to thrive in fast-paced environments, making a real impact on business outcomes.
As a continuous learner, I adapt seamlessly to emerging technologies and trends. I’m excited to share my experiences, insights, and the strategies I’ve developed for organizational effectiveness. Join me on this journey as we explore the intersection of technology and business, and discover ways to drive growth and innovation together!
My Blogs
Streamline your Clinical Trials: The Role of Clinical Trial Management Systems (CTMS)
Clinical trials are the backbone of modern medical advancements, ensuring that treatments are safe and effective for patients. Managing clinical trials, however, is an intricate process involving multiple stakeholders, compliance requirements, and vast amounts of data. This is where a Clinical Trial Management System (CTMS) steps in, revolutionizing the way
Transforming Clinical Trials with AI: A Step-by-Step Roadmap to Efficiency and Speed
Clinical trials are essential for validating the safety and efficacy of new drugs, medical devices, and treatment protocols. However, they are notoriously time-consuming, expensive, and operationally complex. From patient recruitment to data analysis, every stage of a clinical trial can benefit from AI-driven optimization. Advanced machine learning (ML) and deep
Sentiment Analytics – Revolutionize customer service, Marketing, and Product Development
Introduction Sentiment analytics is a way to understand how people feel about something, like a product, service, or brand, by analyzing their written or spoken words. It’s like figuring out if a person is happy, sad, or angry based on what they say. For example, if someone says, “I love
Drug Discovery Explained in Layman’s Terms and How AI is Changing the Game
Imagine you’re trying to find the perfect key to open a very special lock. This lock is unique because it represents a disease that needs to be cured. The key, which represents the medicine, must fit perfectly into the lock to work. Finding this key is not easy, and that’s
Revolutionize Sales with AI
Introduction Revolutionizing sales with AI involves leveraging advanced technologies to enhance every aspect of the sales process, from lead generation to customer retention. AI-powered tools can analyze vast amounts of data to identify high-potential leads, personalize customer interactions, and accurately predict sales trends. Automation of routine tasks allows sales teams
Implementing AI in Corporate Finance and Accounting
Introduction Artificial Intelligence (AI) is transforming corporate finance and accounting by enhancing decision-making, optimizing processes, and identifying risks. This article covers the necessary steps to implement AI in corporate finance and accounting, including the required data, suitable machine learning (ML) and deep learning (DL) models, challenges, solutions, and tools for
Implementing AI in Supply Chain: Data Requirements, Suitable Models, Challenges, and Solutions
Introduction Artificial Intelligence (AI) is transforming supply chain management, offering enhanced efficiency, cost savings, and better decision-making opportunities. This article provides a comprehensive guide on implementing AI in the supply chain, focusing on data requirements, suitable machine learning (ML) and deep learning (DL) models, challenges and solutions, data cleaning and
Implementing AI in Human Resources
Introduction Artificial Intelligence (AI) has revolutionized many sectors, and Human Resources (HR) is no exception. Integrating AI in HR processes promises enhanced efficiency, better decision-making, and improved employee experience. This article explores the implementation of AI in HR, focusing on data requirements, suitable machine learning (ML) and deep learning (DL)
Machine Learning Model for Customer Churn and Promotion Offers Step-by-Step
1- Problem Statement: 2- Data Collection Demographic Data: Subscription Data: Usage Data: Transaction Data: Support Interaction Data: Behavioral Data: Promotional Interaction Data: Transaction History: Promotion History: Support Interaction Data: Feature Interaction: Example Feature Engineering for Customer Churn Example Feature Engineering for Promotional Offers By focusing on these features and performing
Healthcare Demand Planning Machine Learning Model – Step by Step
Demand planning is like predicting the future—figuring out how much of a product customers will need in the coming days, weeks, or months. For healthcare products distributing organizations, this means estimating how many medical supplies, drugs, and other healthcare products hospitals, pharmacies, and clinics will need. I have put together
Step-by-Step – Implementing an Employee Onboarding and Training Solution with Large Language Models (LLM) – Gen AI
Employee onboarding and training are critical processes for organizations to ensure new hires are efficiently integrated into the company culture and equipped with the necessary knowledge and skills to succeed in their roles. In recent years, advancements in machine learning, particularly large language models (LLMs), have opened up new possibilities
POC AI/ML/DL/Gen AI for Demand Forecasting: Step-by-Step
Today, we’re embarking on a journey to unlock the power of AI for demand forecasting. Whether you’re a novice or expert, this detailed article will walk you through the process of conducting a Proof of Concept (POC) step by step. So, let’s dive in and explore how AI can help
Exploring Gen AI: Hype or the Future of Artificial Intelligence?
A new term has emerged: Gen AI. It denotes the next generation of AI systems that possess a higher level of autonomy, adaptability, and understanding compared to their predecessors. But amidst the buzz surrounding Gen AI, one question looms large: Is it just hype, or is it truly the future
Power of Computer Vision in Deep Learning
Computer vision, a subset of artificial intelligence, empowers machines to interpret and understand the visual world. Utilizing deep learning techniques, computer vision algorithms process and analyze digital images or videos, mimicking human vision to recognize patterns, objects, and even actions. At its core, computer vision works by transforming raw pixel
Anomaly/Fraud Detection – Money Laundering, Insurance claims, identity theft
Objectives and Scope: Banking and Finance: Online Payments and E-commerce: Healthcare Industry: Cryptocurrency Transactions: Common Criteria Across Industries: These examples illustrate how specific rules and thresholds can be established to identify suspicious activities in various industries. It’s essential to continually refine and adapt these criteria based on emerging trends, regulatory
Deep Learning: The Future of Artificial Intelligence
Deep learning is a type of machine learning that uses artificial neural networks to learn from data. The human brain inspires neural networks and can understand complex patterns from data. Deep learning has achieved state-of-the-art results in various tasks, including image recognition, natural language processing, and speech recognition. How does
Unleashing the Power of Marketing Analytics: A Strategic Imperative for Business Success
In today’s data-driven world, marketing analytics has emerged as a vital discipline for businesses seeking to thrive in highly competitive markets. With its ability to extract valuable insights from vast amounts of data, marketing analytics provides organizations with a strategic edge, enabling them to make informed decisions, optimize campaigns, and
Empowering Humanity: How Generative AI Can Transform Lives
Generative Artificial Intelligence (Generative AI) has emerged as a revolutionary technology that can transform various aspects of our lives. Unlike traditional AI models designed for specific tasks, generative AI can create new content, ideas, and art by learning patterns and generating data. We will explore how people can harness the
Leaders and AI (Artificial Intelligence)
AI is a rapidly evolving field, and its strategic implementation requires a thoughtful approach to ensure success and long-term sustainability. Here are some key roles and responsibilities IT leaders should focus on: By taking on these roles, IT leaders can position their organizations to leverage AI effectively, drive innovation, and
Unlocking the Power of Data-Driven Decision-Making
In today’s data-driven world, businesses face an overwhelming amount of information at their fingertips. To make the most of this data and gain a competitive advantage, companies are increasingly turning to advanced analytics techniques. One such technique is prescriptive analytics, a powerful tool that not only predicts future outcomes but
The Transformative Power of AI: How Artificial Intelligence Will Shape the World in the Next 5 Years
Introduction- Artificial Intelligence (AI) has rapidly evolved over the past decade, and its impact on various sectors has been profound. As we look ahead, it becomes clear that AI will continue to revolutionize the world in the next five years. From healthcare and transportation to education and finance, AI technologies