The Top Data Analytics and Science Influencers and Content Creators on LinkedIn
If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content.
Plugging into the right communities on LinkedIn can deliver a treasure trove of insights on what’s new in data analytics and science, career advice, and latest tips, and how it connects to ML/AI initiatives. But for all the nuggets of wisdom, there’s a lot of noise to sift through.
Fortunately for you, we’ve done the hard work for you. Read on for the top 25 data analytics and science connections on LinkedIn so you can easily find the information you’re looking for and fill your homepage with meaningful content.
Here’s the criteria we looked at when creating this list (not all need to apply):
- Clear passion for data analytics and science
- Contributing to open source or building commercial products
- # of LinkedIn followers
- Frequency of posting and engagement with posted content
- Diversity of representation
As a reminder, this is not a forced ranked or exhaustive list. If you think we missed someone, please comment and we’ll update it for 2023. 🙂
1) Neelesh Salian
Staff Software Engineer at dbt Labs
Neelesh has nearly a decade of experience as a software engineer, working at companies like Stitch Fix and dbt Labs. He is also an open-source developer at The Apache Software Foundation and the author of Hysterical, a popular blog on tech careers and topics like data, coding, and engineering.
And while Neelesh mainly sticks to topics around data engineering, he provides great points of view on how better engineering leads to better analytics and science initiatives.
Neelesh regularly shares his advice channels, including as a recent guest on Databand’s MAD Data Podcast, where he spoke about how engineering can deliver better value for data science. On LinkedIn, he posts frequently about data engineering, data architecture, interview preparation, and career advice. You can also watch the podcast video recording.
2) Cassie Kozyrkov
Chief Decision Scientist at Google
Cassie is a data scientist and leader at Google with a mission to democratize decision intelligence and safe, reliable AI. She has nearly two decades of experience in data science and has personally trained over 20,000 Googlers in statistics, decision-making, and machine learning. Relying on a unique combination of deep technical expertise, analytics management experience, and the ability to lead organizational change, Cassie was instrumental in designing Google’s analytics program.
Her primary skills include data science, decision science, strategy, and process architecture, with expertise in statistics, decision theory, machine learning, artificial intelligence, experimental game theory, industrial organization, behavioral economics, psychology, and neuroscience. Cassie is a popular keynote speaker and regularly leads and contributes to conversations on LinkedIn about AI, analytics, statistics, data science, and machine learning.
3) Julia Silge
Software Engineer at Posit PBC
Julia is a tool builder, author, international keynote speaker, and real-world practitioner focusing on data analysis, machine learning, and MLOps. She spent nearly a decade in education developing software and teaching physics, chemistry, and astronomy before becoming a practitioner focused on data science and engineering.
Julia regularly shares her thoughts on data analytics, data science, and engineering on her blog and posts frequently on LinkedIn about data analytics, data science, and machine learning.
4) Martin Keen
Manager & Content Creator at IBM
Martin is the Manager and Content Creator for IBM Technical Training with a focus on video production including Coursera, edX, and Pluralsight.
It’s safe to say that Marin loves creating content. He produces weekly tech talk videos on the IBM Technology YouTube channel (270K+ subs) in areas such as machine learning, artificial intelligence, mobile devices, and hybrid cloud.
When he’s not creating videos, he might be creating his next patent to add to the 200+ he already has.
5) Aishwarya Srinivasan
Data Scientist - Google Cloud AI
Aishwarya is working as a Data Scientist in the Google Cloud AI Services team to build machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and AI Platform.
Prior to this, Aishwarya was working as an AI & ML Innovation Leader at IBM Data & AI, where she was working cross-functionally with the product team, data science team and sales to research AI use-cases for clients by conducting discovery workshops and building assets to showcase the business value of the technology.
Aishwarya has been awarded Trailblazer of the Year by Women in AI in 2022 and Women of Influence by Business Journal in 2022. She regularly spreads he knowledge on her YouTube but you can catch her fitness tips on Instagram.
6) Ken Jee
Head of Data Science at Scouts Consulting Group
Ken is the Head of Data Science at Scouts Consulting Group and an adjunct professor at DePaul University. Through these roles, he has developed a passion for using data and common sense to generate simple, implementable solutions to complex problems. He’s also made it his mission to stay up-to-date with the newest technologies and analytic techniques.
Ken spreads this knowledge on his YouTube channel and on his Medium blog, where his content provides insight into the data science community, career advice, and sports related analysis. On LinkedIn, he posts regularly about data analytics and data science.
7) Michael Dillon
Senior Business Intelligence Developer
Michael is a Senior BI Developer at an English football club and the author of How to Get a Job in Data Analytics. He has over 15 years of experience as an analyst, working for companies like Providence Financial Group and ESB Trading.
Michael is certified in text mining and analytics, SQL, Python, Tableau, and more. He is passionate about helping data analysts use online networking to land their dream job and regularly shares networking tips. Beyond networking tips and career advice, Michael also joins conversations on LinkedIn about data analytics and strategy.
8) Sarah Krasnik
Analytics & GTM consultant
Sarah is a Analytics and GTM consultant providing analytics and marketing consulting services to clients in a variety of technical industries. Sarah has a growing newsletter read by 4k+ people covering the topics of data, tech, and product.
As a former Lead Data Engineer at Perpay, her passion lies in building and scaling modern data infrastructure to enable data driven decision making, and of course, writing about the process along the way.
Sarah Krasnik dropped by the MAD Data Podcast to discuss the building blocks, organizational mindset, and strategic planning that are needed to take data quality from theory to practice.
9) Eric Sims
Senior Data Analyst, Strategy and Analytics at LendingTree
Eric is a data analyst who is passionate about finding creative ways to solve problems and share big ideas. In his role at LendingTree, he works closely with the data engineering team, synthesizes findings from data to provide actionable recommendations, and works with tree-based algorithms.
Eric is certified in Lean Six Sigma and experienced in Python, SQL, and machine learning. He has also completed courses in data analysis, applied data science, data visualization, data mining, and machine learning. Eric is active on GitHub and LinkedIn, where he posts about data analytics, data science, and Python.
10) Brian Femiano
Senior Data Engineer at Apple
Brian is a senior data engineer with nearly two decades of experience at companies like Booz Allen Hamilton, Magnetic, Pandora, and, most recently, Apple. He specializes in distributed systems and data processing at scale, regularly working on data pipelines and taking complex analyses authored by data scientists/analysts and keeping them running in production.
He is certified in functional programming, machine learning, and data analysis and statistical inference and is passionate about teaching and mentoring others. Brian shares advice regularly on his Medium blog and GitHub, as well as on LinkedIn, focusing on topics like data science, data engineering, data strategy, and SQL.
11) Jordan Morrow
Vice President and Head of Data and Analytics at BrainStorm Inc.
Jordan is a data and analytics leader with nearly two decades of experience. He has led data teams at BrainStorm Inc, Pluralsight, and Qlik and serves as an advisor to several companies.
Jordan has published numerous articles on data literacy and received several data influencer awards, including being named on the DataIQ 100 2022 and The Rivery Top 21 Data Influencers of 2021 lists. He is passionate about helping others see and understand the power of data and analytics and uses LinkedIn as a platform to share his advice around data, analytics, data storytelling, data skills, and data literacy.
12) Olga Berezovsky
Senior Manager, Business Intelligence at MyFitnessPal
Olga is an analytics and data science leader with over a decade of experience and a passion for developing great products and tackling data challenges. She works to connect business with technology, bring data insights into decision-making, and mentor analysts.
Olga is skilled in MySQL, PostgreSQL, and R and regularly publishes articles on topics like data analysis and machine learning. On LinkedIn, she shares content primarily around data analytics, data science, and product analytics.
13) Richmond Alake
Machine Learning Architect at Slalom Build
Richmond is Machine Learning Architect and a Machine Learning Content Creator. He’s written hundreds of blogs and tought multiple courses on computer vision and deep learning.
He regular posts technical blogs on NVIDIA Developer and hosts the Richmond Alake Podcast where he speaking to leaders in technology, AI and data.
You can also check out his Medium page the boasts 7M+ views.
14) Kunaal Naik
Senior Data Scientist at Dell Technologies
Kunaal is a data scientist and analyst with over a decade of experience. In addition to working as a Senior Data Scientist at Dell Technologies, he is also a faculty member at Jigsaw Academy, where he teaches analytics to help students learn tools such as Excel, R, and Python.
Kunaal has also created courses that are available on his website and shares weekly videos on his YouTube channel. On LinkedIn, he posts regularly about Excel, dashboards, data science, data analytics, and SQL.
15) Wannes Rosiers
Product Manager at Raito
Wannes has a background as a PhD in mathematics and professional volleyball athlete, but has spent the past several years leading data and machine learning teams. Currently, Wannes is a product manager at Raito, where he focuses on making consistent data access provisioning easy.
Wannes is skilled in R, Python, data analysis, and data mining and regularly writes and speaks at events. He is also active on LinkedIn, sharing his expertise around data ops, data governance, data strategy, and data mesh.
16) Carly Taylor
Senior Manager, Security Strategy at Activision
Carly is a data scientist, computational chemist, and machine learning enthusiast with a Master’s degree in chemistry from the University of Colorado focusing on computational quantum dynamics. She has authored multiple peer-reviewed publications and holds two non-provisional machine learning patents.
She currently works as a security strategist for Call of Duty at Activision Publishing, where she applies Python-based machine learning and best practices in statistical analysis to creatively solve novel problems. Her areas of expertise include data science, machine learning, fraud detection, trust and safety, distributed systems, time-series and dynamic modeling, anomaly detection, biotechnology, and high-frequency signal processing. Carly actively shares her take on these topics on LinkedIn, posting regularly about analytics, data science, machine learning, and gaming.
17) Richard Shenghua He
Head of Data Platforms at Virgin Media O2
Richard is a business-driven software engineer with a passion for using Google Cloud to solve complex business problems in simplified ways. His background is in data platform engineering, but he has extensive experience in BigQuery, Cloud PubSub, Cloud Composer, Cloud Run, Cloud Datastore, and Cloud Dataflow and has specialized on Google Cloud since 2018.
Richard also runs a YouTube Channel, PracticalGCP, where he publishes videos covering a wide range of Google Cloud technologies and sharing practical experiences on how to run systems properly on production. On LinkedIn, Richard frequently posts about Google Cloud, data engineering, data analytics, SQL, and coding.
18) Caleb Keller
Principal Solutions Architect at Elastic
Caleb is a mechanical engineer turned data scientist turned machine learning practitioner who is focused on solving the problems of enterprise data, starting with how to “Do Data Better.” He has over a decade of experience in the data world and a Bachelor’s degree in Mechanical Engineering from Missouri University of Science and Technology.
In addition to his full-time role at Elastic, Caleb also provides services to enterprise-level companies around data reporting, business analytics, strategic planning, and more. He is active on LinkedIn, talking about management, data analytics, data engineering, and machine learning.
19) Francesco Gadaleta
Founder and Chief Engineer at Amethix Technologies
Francesco is a senior software engineer and chief data scientist with over 15 years of experience working at companies across the finance, energy, healthcare, and pharmaceutical industries. He specializes in applied mathematics and statistics, advanced machine learning, artificial intelligence, game theory, computer programming, cryptography, and blockchain.
Francesco recently founded Amethix, a European software company that specializes in big data analytics and critical systems. He also hosts the Data Science at Home podcast, which covers artificial intelligence, machine learning, statistics, and more, and is active on GitHub. On LinkedIn, Francesco posts frequently about artificial intelligence, data science, programming, and machine learning.
20) Shashank Kalanithi
Senior Data Engineer at Fanatics, Inc.
Shashank is a Senior Data Engineer at Fanatics Betting & Gaming, with a focus on deriving value from the manipulation, cleansing, modeling, and visualization of data through the use of Scala, Python, SQL, Tableau, and Alteryx.
He shares tips to help people break into the world of data analytics on his popular YouTube channel and is also active on GitHub and LinkedIn, where his posts typically focus on Python, data science, machine learning, and data analytics.
21) Ahmed Elsamadisi
Founder and CEO of Narrator AI
Ahmed is a data and systems engineer with over a decade of experience. He is the founder and CEO of Narrator AI, the first customer data analytics platform built for product teams that uses all of the data directly from a company’s data warehouse. Previously, he was the first data team hire at WeWork, where he built the data engineering infrastructure.
Ahmed also has experience working on self-driving cars, human-robot interaction, and AI algorithms for missile defense. He is the creator of the Activity Schema and was named in Forbes 30 Under 30 for Enterprise Technology in 2021. Ahmed is active on LinkedIn, frequently posting about artificial intelligence, SQL, data, analytics, and data modeling.
22) Charles Givre
Co-Founder and CEO of DataDistillr
Charles also spent time as a Counter Terrorism Analyst at the CIA and in education as an instructor at Brandeis University and the University of Maryland, where he teaches courses in data analytics, Python, and the application to cyber security. On LinkedIn, Charles posts frequently about data analytics, data science, SQL, and data engineering.
23) Christina Stathopoulos
Analytical Lead, Waze at Google
Christina is an analytics specialist currently working on the Waze analytics team at Google. She has certifications in R, data storytelling, and Google Analytics and has completed courses in Python programming.
In addition to her role at Google, Christina is an international public speaker supporting data analytics, emerging technologies, and women in STEM. She has appeared on more than 30 podcasts and delivered keynote speeches across nine countries since 2018. Christina brings these perspectives to LinkedIn too, sharing posts regularly on topics like analytics, technology, data science, and higher education.
And, if you are looking for a good book recommendation, Christina has you covered :-).
24) Maxime Beauchemin
Founder and CEO at Preset
Maxime is a data engineer and open source enthusiast who created Apache Superset and Apache Airflow. With nearly two decades of experience as an engineer at companies like Yahoo!, Ubisoft, Facebook, Airbnb, and Lyft, he has most recently founded and led the team at Preset. He is also a member of The Apache Software Foundation.
Maxime shares his work on GitHub and recently joined Databand’s MAD Data Podcast for two episodes to talk about the future of data observability and the case for dataset centric visualization. On LinkedIn, he shares his point of view around open source, data analytics, business intelligence, and data engineering. You can also watch both episodes with Maxime (episodes #18 and #19).
25) Swagata Ashwani
Senior Data Scientist at Boomi
Swagata has experience in data science, software engineering, and risk analytics, having worked at companies like Deloitte, Amazon, and most recently, Boomi. She has extensive experience in platform integration using advanced data mining and machine learning in Python, SQL, and R, and data engineering in Snowflake, Apache Spark, and Hadoop.
She is also a member of the AI Guild, an Advisory Panel Member at the University of South Florida, and a data science writer at Medium. She shares her advice regularly on LinkedIn, focusing on topics like data science, machine learning, and career advice.
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