Data Science Coaches, Events, and Resources

Welcome to my profile! With a PhD in Industrial Engineering from the University of South Florida and extensive experience as an Applied Scientist at Amazon, I bring a wealth of knowledge in data science and machine learning to my coaching. At Amazon, I led teams to develop cutting-edge models that generated significant revenue gains and operational efficiencies. My background also includes impactful roles at IBM and Cigna, where I developed predictive models and analytics frameworks that drove strategic decision-making and business transformation. I am passionate about helping aspiring data scientists navigate their career paths, from mastering technical skills to acing interviews. Let's work together to achieve your data science career goals!

Welcome to my profile! With a robust background in data science and engineering, I currently work as a Data Scientist/Engineer at Accenture, where I tackle complex, scalable problems for federal clients, impacting both terrestrial and space initiatives. My journey includes hands-on experience with high-visibility projects at SpaceX and strategic roles at Collins Aerospace and The Boeing Company. I have a proven track record of educating and leading large teams, as well as supporting the U.S. government with data science solutions. Whether you're looking to break into the data science field or advance your career, I'm here to guide you with personalized coaching and insights. Let's connect and chart your path to success in the data science world!

With a robust background in Top-Tier Consulting & Scale Up companies, I bring a unique perspective to Data Science. As a former Machine Learning Engineer at BCGX, I developed AI solutions for industry-leading clients, enhancing their digital transformation efforts. My experience spans strategic pricing, revenue management, and supply chain optimization, equipping me with the skills to help you navigate the industry.

I have 15 years of experience in DS/Analytics and 5 years of hands-on management experience leading teams at Meta and LinkedIn. Data Science is a new, complex and fast-changing field. My mission is to help young people entering the tech industry understand the opportunities, choose the direction and get where they want to be. I am a certified Career Advisor (IACA).

Experienced engineer having worked across both the public and private markets at renowned firms: - Goldman Sachs (Asset Management - Alternatives) - Advent International (Private Equity) - Matrix Capital Management (Hedge Fund)

With over 30 years of experience in the data industry—13 of those focused on data science—I’ve had an incredible journey through roles like Data Scientist, Senior Data Scientist, Head of Data Science, and now Chief Data Officer. Along the way, I’ve overseen major data initiatives, built high-performing teams, and developed a deep understanding of what it takes to succeed in this field. For the past 15 years, I’ve been passionate about mentoring. I’ve helped students and professionals land their first internships, secure their dream jobs, and grow into leadership roles. I’ve reviewed thousands of resumes, interviewed hundreds of candidates, and learned exactly what stands out in a competitive market. What I truly enjoy is helping data scientists and managers take that next big step in their careers. Whether you’re just starting out or looking to climb higher, I’m here to guide you, share practical advice, and help you unlock your potential in the ever-evolving world of data science. Let's connect and see how I can help you!

I'm a Staff Data Scientist at LinkedIn, with 7 years of experience in the field. I've tech led multiple top projects at LinkedIn including several 1st GenAI applications. I've also received Data Science offers from other top tech companies including Meta, Lyft, Affirm etc.

Welcome to my profile! With a strong foundation in data science and analytics, I bring hands-on experience from top tech companies like Apple and DoorDash. At Apple, I led customer analysis for flagship product lines, delivering strategic insights to C-level executives. At DoorDash, I headed a team focused on accelerating growth through advanced analytics, driving measurable impact across marketing and product. Now, as the founder of Npiphany, I help high-achieving professionals break into data science or level up their careers with clarity, resilience, and purpose. My coaching blends industry know-how with personalized strategies to help you stand out, get hired, and thrive. Whether you're pivoting, aiming for your first data role, or seeking that next big step—let’s connect and chart your path to success.

Hello and welcome to my profile! With a robust background in software engineering and machine learning, I bring a wealth of experience from my roles at Twitch, where I developed and optimized machine learning models and infrastructure. My journey includes leading product strategy and engineering initiatives at TestParty AI, where I drove significant growth and product-market fit. As a teaching assistant at the University of Virginia and Darden School of Business, I have mentored over 1,000 students in software development and data science principles. I'm passionate about helping aspiring data scientists navigate their career paths and achieve their goals. Let's connect and explore how I can support your journey into the world of data science!

Welcome to my profile! I am currently a Senior Machine Learning Engineer at Etsy, where I focus on search, ads, ranking, and retrieval. I also serve as an Adjunct Instructor at NYU's Courant Institute of Mathematical Sciences where I have been teaching for over four years. Additionally, I hold an MS in Data Science from Columbia University and led data science initiatives at Peacock. At both Peacock and Etsy, I have experience with mentoring engineers and data scientists as well as leading technical interviews. My experience equips me to guide aspiring Data Scientists in mastering the skills needed to excel in this field. Let's connect and chart your path to success as a Data Scientist.