Data Science Coaches, Events, and Resources

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!

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!

Welcome to my profile! With a robust background in AI and data science, I am passionate about helping professionals excel in this dynamic field. As a co-founder of Touch Infinity Consulting Inc. and a mentor for the Applied Data Science Program at MIT, I've guided over 600 industry professionals, earning an average review score of 4.81/5. My experience as a Senior Machine Learning Engineer at Affinity, where I led the development of machine learning strategies and built innovative AI solutions, equips me with the insights to help you navigate your data science journey. Whether you're looking to master machine learning techniques or advance your career in AI, I'm here to provide tailored guidance and support. Let's connect and chart a path to your success in data science!

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.

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).

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! As a Harvard University student with a strong focus on data science, I have a wealth of experience in applying advanced analytical techniques to real-world problems. I co-founded Armenia's first data-driven youth NGO, where I led a team of 200+ members in conducting field research and building a comprehensive database using Python. My work as a Research Intern at ZOiS involves conducting social network analysis and applying regression models to complex datasets. Additionally, I've contributed to impactful projects at the Central Bank of Armenia and the Harvard University Foreign Policy Initiative. If you're looking to break into the data science field or enhance your analytical skills, I'm here to guide you. Let's connect and create a tailored plan for your success!

I coach AI and applied machine learning with a focus on building reliable, interpretable models from real-world data. I’m a researcher at the University of Cambridge working on traumatic brain injury and Alzheimer’s, integrating multimodal MRI and blood biomarkers with modern ML methods. I can help you structure your problem, design strong baselines and evaluations, avoid common pitfalls (like leakage), and add interpretability and uncertainty so results hold up in practice.

I’ve spent a career in data science, ML, and AI. I've built state-of-the-art AI systems in real-world settings—from agent models for a boutique investing firm to the first AI mental health coach with functioning long-term memory. Alongside this work, I’ve taught and facilitated AI courses at Stanford, helping students master machine learning and generative models. My focus is on turning advanced research into practical, working products—and coaching others to do the same.

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.