DataExpert.io

Founder

Ardent AI

I think AI will disrupt data engineering in a significant way. I’m investing in Ardent to accelerate that disruption!

Angel Investor

Peony Health

I invested in Peony Health because I believe habits are greatly impacted by neurochemistry and Susie Chen is a technical founder with business chops who will deliver on their mission

Illuminate AI

I'm one of the new Bay Area chapter leads for Illuminate AI! 

I help make events better and build this community to the next level!

Chapter Lead

Mage

I'm advising Mage on how to make a data engineering friendly Airflow competitor that will be the next generation of job orchestration!

Advisor

A House in Utah

Former Child

SylphAI

I’ve invested in SylphAI because I’m passionate about building community in AI that helps everyone meet their growth goals and fulfill their potential

Airbnb

Changed Airbnb's availability definition from "did a host set a rule that blocked this night" to "can a trip be booked that contains this night" 

Consolidate the availability definition across the company. Saving >500 TBs in the cloud and shrinking the data set to 3% its old size.


Decreased the landing time of Airbnb's unit economics dataset from 3 days to 1 1/2 days. Built a long-term roadmap to further increase the quality of this critical dataset. 

Improved the quality of online systems at Airbnb to be easily compilable by Spark pipelines to compute metrics offline. 

Lead a team of 6 engineers to deliver on the MIDAS initiative to increase the data quality of the Commercial Products org. 

Upleveled smart pricing at Airbnb by improving the feature engineering and latency of the data used to train the smart pricing model.

Staff Data Engineer - TC $600k ($220k Salary $320k Stock $60k bonus)

Netflix

Built a machine learning feedback system that allowed security engineers to label corporate user behavior as risky or not risky.

Built Asset Inventory - a graph database solution that is a map of all of Netflix's cloud infrastructure.

Senior Software Engineer - TC ~$575k ($550k salary + 5% options)

I built a pipeline that measures the cloud infrastructure impact on AB tests, saving Netflix millions by allowing them to make smarter AB test rollout decisions.

Senior Data Engineer - TC ~$365k ($365k salary + 5% options)

Facebook

- Managed a 10 PB+ Hive data warehouse
- Consolidated and conformed company-wide growth metrics (across WhatsApp, Instagram, Messenger, and Facebook) into a single, company-wide view. 
- Optimized machine learning feature set generation pipelines (200+ TB/day) from having a 4 day latency to having a 1 day latency. While also dropping compute costs for those pipelines 4x. 
- Reduced core notification data set latencies from 36 hours to < 8 hours. 
- Migrated 50% of notifications pipelines from using Hive to use Spark, Presto, or real-time streaming.
- Cut compute cost from notifications pipelines by 40% over the course of 9 months.

Data Engineer - TC $185k ($135k salary, $50k stock)

I love to teach. I post about #dataengineering and #mentalhealth daily. 

Many years of data engineering experience doing growth analytics at Facebook, security infrastructure at Netflix, and pricing and availability infrastructure at Airbnb. 

You can find me by looking up EcZachly on all social networks 

Join my Data Learning Platform https://www.dataexpert.io

Zach Wilson

I’m happy to share that I’m starting a new position as Strategic Advisor at omi!

I believe in Nik Shevchenko and I want to start having a much more data rich life!

Founder @ DataExpert.io, use code BF for 40% off!

Hitting 500k followers here on LinkedIn feels like a dream come true!

I started posting every day back on December 12th, 2020 and I had no idea it would impact my life in such a profound way

I met so many amazing creators along this journey like Carly, Aishwarya, Joe, Chip, Delia, Li, Annie, Jhillika and many more! 

To celebrate 500k followers, You can use code 500k at DataExpert.io/500k to get 50% off! This deal ends today at midnight pacific time! 

How long until I hit 1 million?

We're making some important updates to the Snowflake + dbt boot camp on January 6th! 

- We are limiting seats to 60 students to keep quality of instruction high (we are already halfway booked up)
- We are adding Cortex lessons for both vector search and document parsing
- We are adding a lesson change data capture 
- We are adding an Iceberg and Snowflake module for those interested in the open data format! 

If you're interested in some early Black Friday deals on this boot camp, send me a DM!

I'm launching a free data science interview boot camp with Vaishali Macwan tomorrow!

For the next four weekends, Vaishali will go over the most important things to land a product data scientist role!

- Week 1 Getting Noticed
You can't land a job without landing an interview. Master the job search skills quickly!

- Week 2: The fundamentals and interview formats
SQL is absolutely essential for data scientists. We'll be covering the different interview formats this week too

- Week 3: How to pass the product sense and company fit rounds
Product sense is one of the most difficult interview rounds for data scientists. Vaishali has mastered this round and will pull back the curtain!

- Week 4: The behavioral round and negotiation
These two rounds are critical to sealing the deal for your new data science job and getting paid the most you can!

You can join the free boot camp here: https://lnkd.in/gj7xxGU3

Machine Learning @ Call of Duty | Rebel Data Scientist | Click follow to join a community of data, gaming, and tech professionals 🎮

Databricks

As a Field CTO in the Databricks gaming vertical, I am an external technical strategist helping game studios unlock the full potential of their data. 

As a hands-on solutions architect, I design and implement scalable, future-ready systems that empower developers to build next-generation player experiences, run efficient operations, and turn innovation into impact.

My role blends technical strategy, architectural design, and industry evangelism. I work directly with game studio leadership to architect the infrastructure that enables smarter game design and better live operations.

Ultimately, I help studios create leverage with their data so they can focus on what matters most: building great games that players love.

Field CTO, Gaming

ggAI

We are the next generation of future-ready game data geeks - engineers, analysts, ML practitioners, and technical leaders - united by a belief that collaboration and openness are the keys to unlocking better player experiences. 

Whether you're scaling infrastructure, tuning personalization models, or wrangling event data, GGAI is where the gaming industry's sharpest minds come together to share best practices, solve hard problems, and build what’s next.

Rebel Data Science

Rebel Data Science brings a refreshingly authentic approach to educating both people and brands working on AI. By making data science and AI more accessible, we hope to open up doors for women to find fulfilling careers in data. We are excited about partnering with brands who share our commitment to our communities.

Microsoft

Director, Engineering

Activision

As a Director for Call of Duty, I led a team focused on game security. 

We utilized a suite of technology to make decisions in real-time and strengthened the technology that delivers low-latency concurrent experiences to hundreds of millions of players.

Senior Manager, Machine Learning Engineering

As an expert machine learning engineer, I implement and oversee machine learning projects to detect and minimize disruptive behavior in online gaming.

Staff Machine Learning Engineer

As a Senior Data Scientist on Call of Duty’s behavioral machine learning team, I worked at the intersection of big data engineering, real-time data analytics, and behavioral modeling to drive business value in both paid and F2P online games. 

I balanced hands-on model development while collaborating cross-functionally with my stakeholders across Activision.

•	Managed a team of data scientists developing distributed machine learning models to support behavioral machine learning initiatives
•	Built, refined, and executed a roadmap for a behavioral machine learning approach to anti-disruptive behavior
•	Outlined team best-practices including library packaging, versioning, containerization, CI/CD and task-scheduling
•	Triaged and shaped incoming requests and supervise team deliverables

Senior Data Scientist

Game Security Group (GSG)

The Game Security Group (GSG), is the video game industry's preeminent information-sharing and analysis center that servers as a central resource for exchanging information on cyber threats. The GSG is comprised of 23 companies and facilitates in-person and virtual meetings for members to discuss security challenges and approaches to defending their corporate and game infrastructure.

Governing Council Member

Well Data Labs, Inc

As a Data Scientist on the Well Data Labs Research and Development team, I focused on how data science and machine learning can impact operational efficiencies in the oilfield and increase the ROI of unconventional wells. 

•	Developed, deployed and patented static and real-time machine learning models to automate the recognition of events in time-series metered data
•	Conducted customer discovery and authored studies that addressed key market needs while proposing solutions and strategies to business challenges
•	Prepared and delivered internal and external industry presentations to effectively demonstrate the value of data science in oil and gas
•	Worked collaboratively in an agile environment with Product and Engineering teams on prototyping, designing and implementing robust production-ready business solutions
•	Created documentation and project artifacts for maintaining production code for machine learning platform
•	Explored and visualized data to find actionable insights and developed robust pipelines to automate reporting for Professional Services

Data Scientist - R&D

Associate Data Scientist

AirDNA

As a Product Analyst at AirDNA, I leveraged, visualized and transformed short-term rental data into strategic, actionable analytics to inform decisions resulting in 120% YOY growth and a projected $6.8 million run rate.
 
•	Acted as the point-person on all things related to user data and analytics, from data ingestion, maintenance and tracking, to understanding and reporting
•	Prepared and delivered executive presentations to strategically meet growth objectives
•	Explored and visualized data to find actionable insights and make product recommendations through funnels, churn risk analyses, cohort analyses, customer lifetime value, and behavioral segments
•	Utilized a comprehensive understanding of the full-stack framework to implement and integrate front-end and back-end analytics solutions 
•	 Created documentation and project artifacts such as analytics schema, user stories, process diagrams, work-flows, and technical requirements
•	Prepared specialized market analyses for content creation in high-level publications such as the New York Times and Wall Street Journal

Product Analyst

Analytic Partners

As a Marketing Analytics Consultant at Analytic Partners, I built predictive models to improve marketing ROI and executed communication strategies across five divisions at two Fortune 100 companies. 

•	Developed predictive attribution and media mixed models
•	Outlined the impact of advertising for five individual divisions across two Fortune 100 companies
•	Addressed client specific business challenges while executing communication strategies and presentations to convey actionable insights
•	Extracted and synthesized information from multiple data sources while proactively performing data validation to ensure accuracy, quality and integrity of data
•	Work collaboratively as a consultant with colleagues in sales, marketing, and finance to provide data-driven recommendations for client resource allocation

Marketing Analyst

University of Colorado

As a Computational Researcher, I worked at the intersection of theoretical physics, chemistry, and computational modeling to simulate the behavior of electrons in photochemical reactions.

•	Utilized quantum simulation packages on massively parallel super-computing systems to model the behavior of electrons in photochemical reactions
•	Explored systems which had previously been limited to a mixed QM/MM approach
•	Author of 3 published articles, one of which was in a Top 10 journal
•	Earned grant worth over 1 million computational hours on the 8th largest supercomputer in the world
•	Worked with large, complex data sets generated by massively parallel super-computing systems
•	Spearheaded successful and ongoing summer internship program for at-risk high school students focusing on computer science, chemistry and biotechnology

Computational Chemist

- All views shared are my own opinion and do not reflect the stance of my employer

🎰 Vegas born
🧪 Ex-chemist, current data scientist, lifelong gamer. 
👩‍🔬 Advocate for women in STEM, tech, and gaming.
🚨 Security strategist at Activision. 

Have you ever wondered “what comes after breaking into data science?” I share tips on how to excel in your career - advocate for yourself to get promoted, navigate situations with leadership, and mindfully leverage your strengths to optimize your career. 

Carly is a data scientist, computational chemist and machine learning engineer. She obtained her M.S. 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. 

When she isn't writing about herself in the third person, building mechanical keyboards or neglecting the oxford comma, she works as a public speaker, author and content creator focusing on AI. 

More specifically, she applies Python-based machine learning and best practices in statistical analysis to creatively solve novel problems. This includes harnessing various toolkits to model real-world structured and unstructured data and drive business value to stakeholders at all levels of the organization. 

Areas of Expertise: data science, machine learning, fraud detection, trust & safety, distributed systems, leadership, team-building, time-series and dynamic modeling, anomaly detection, biotechnology, high-frequency signal processing

Languages:
- Python (NumPy, Pandas, PySpark)
- SQL
- Scala

ML Platforms:
- TensorFlow
- Keras
- Scikit-learn

Engineering:
- AWS
- GCP
- Docker
- Apache Spark
- Flask
- Airflow
- CI/CD (Jenkins, Kubernetes)

Carly Taylor, M.Sc.

If you want to read a happy Thanksgiving post, just scroll right on by this one…

Things are not okay right now for a lot of people. 

I’m sure you’ve noticed too - viral posts about fellow professionals who are about to lose everything. They’ve been laid off, unable to find work, and some are about to be homeless. 

I don’t want this to become the new normal. 

Being so lost and hopeless that you are begging for work on LinkedIn is, in fact, not normal. 

And it flies in the face of everything you’re told about people who struggle.

“Oh they don’t have the right degree.” 

“They must be addicts.” 

Nope. Just regular people like you and me. 

The astounding wealth transfer in the U.S. driven by layoffs, AI, and tied up with a pretty little bow we call “shareholder value” is not normal. 

There is an armed guard at my local grocery store checking receipts because of theft. And instead of addressing issues like inflation and price gouging by the grocery store, we accept this as normal. 

We accept that the cashier who checked us out is on food stamps. 

Corporate greed at this magnitude is not normal. 

I have a lot to be thankful for. I could spout some happy platitudes as I sit here in the airport writing this note. 

But that’s not why I’m here. And I don’t think it’s why you’re here either. 

I am using my platform to say none of this is normal or okay.

And I’m tired of it.

Carly Taylor

Senior Leader in Engineering and Gaming 🎮

taplio

The Battle

Zach Wilson

Carly Taylor, M.Sc.

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taplio

The Battle

Zach Wilson

Carly Taylor, M.Sc.

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Zach Wilson's LinkedIn Performance

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