I currently work as a Data Scientist at a Health AI company, and have been in the space for over 6 years now. My experience spans a PhD program at Harvard where I focused on applications of machine learning in medicine. While at Harvard, I also worked as a teaching fellow for several Master's-level data science courses. I loved my experience teaching, especially the office hours where I was able to spend more one-on-one time helping students with concepts from the course. I started my data science journey basically from scratch years ago, and have since compiled a long list of resources and 'what I wish I'd known' type advice. This is a fast-moving field, and I'm excited to help anyone looking to navigate their future and improve their skills in data science!

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.

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.

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 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).

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.

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!

I know the CURRENT struggle of breaking into data science—because I’ve lived it. As a recent graduate, I interviewed at top finance firms like Bridgewater and Point72, as well as leading tech companies like TikTok and Lyft. Coming from a business background, breaking into data science felt impossible. I doubted my skills, faced rejection, and made every mistake. But I treated the process like an experiment—learning, iterating, and documenting everything. Over time, I cracked the code on landing interviews, mastering technicals and behaviorals, and standing out in a competitive field. Now, my mission is to give you the playbook I wish I had—so you can skip the guesswork and land your dream role faster. I specialize in helping professionals from non-technical and business backgrounds transition into data science with a structured, strategic approach.

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'm an experienced leader in Data Science, having worked in Director-level roles at Google, Uber, LinkedIn, Stitch Fix, and Pandora. I've worked across many areas, including search, ads, and recommender systems in several areas. I'm broadly interested in measurement, including experimentation but also sampling and metrics development. I've managed teams of all sizes and people of levels up to Director. Helping people develop their careers has been one of my favorite parts of being a manager, and that is something I can also offer as a coach.