Machine learning (ML) isn’t new. However, the field of big data is revitalizing the subject and more organizations are relying on ML models to scale their operations, support staff in working better and faster, to uncover hidden insights from data, or even confirm and challenge underlying assumptions. This is creating widespread interest in related topics with the C-suite, and...

Since I have done four career re-inventions in my own career (through four industries) I promote myself as a re-invention coach. In this, my fifth career, I have helped many clients go in new directions by showing them how to re-invent themselves leveraging their previous stellar accomplishments, packaging them in a new “language,” and developing a plan that steers their career in a...

Big data refers to extremely large datasets that are too complex for traditional data-processing software. It’s often described using the 5 V’s: Volume – Massive amounts of data Velocity – Data is generated and processed quickly Variety – Structured, semi-structured, and unstructured data Veracity – Accuracy and reliability of the data...

I. Introduction to Big Data and Analytics - Briefly explain what big data and analytics are - Discuss the importance of data-driven decision-making   II. What is Big Data? - Define big data and its characteristics (volume, velocity, variety) - Discuss sources of big data (social media, IoT, transactions)   III. Benefits of Big Data Analytics - Discuss benefits, including:...

Your mind will answer most questions if you learn to relax and wait for the answer. –William S. Burroughs The recent surge of hiring in the job market has resulted in increased traffic in my coaching practice. Most of this added traffic comes from prospects seeking a job change. Although some want help, starting with their positioning, résumé, and other basic...

Introduction: In the world of data science, having the right tools at your disposal is essential. These tools enable data scientists to collect, clean, analyze, and visualize data efficiently. In this blog, we'll take a closer look at some of the most popular data science tools that have become indispensable in the field. 1. *Python*: Python is the Swiss army knife of data science. Its...

Fear is a disease that eats away at logic and makes man inhuman. —Marian Anderson, singer  A significant part of my career and life coaching practice is working with clients facing some immediate challenge in their career stemming from an impending job interview, annual performance review (APR), or even a discussion around their next promotion. Clients often approach me and ask...

Introduction: In the age of information, data is the currency that fuels innovation, drives business decisions, and transforms our understanding of the world. Data science is the art and science of making sense of this vast sea of information. In this blog, we'll embark on a journey to explore the fascinating world of data science, from its core principles to its real-world applications. What...

Artificial Intelligence (AI) has evolved from a niche technology to a ubiquitous force driving innovation across industries. Behind this remarkable transformation are a diverse set of AI tools and platforms that enable developers, data scientists, and organizations to harness the power of AI and machine learning. In this blog, we'll dive into the exciting world of AI tools, exploring their...

As a part of my coaching practice I often help clients with mock interviews. Mock interviews and the feedback I give them often surprises them about their own level of (un)preparedness as they come for the mock interview. After doing the research on the company, the job opening, and on their potential hiring manager they often feel quite confident—even cocky—when I suggest that a...