Dr. Jennifer Prendki

Google DeepMind

- Leading the engineering team in charge of developing and building DeepMind's AI Data Platform and its underlying organization to facilitate the development of SOTA GenAI models such as Gemini and Gemma.

- Leading and coordinating initiatives in Data Governance, Data Quality, Safety and Infrastructure for all GenAI projects within the company.

- Leading the GDM DMA program and coordinating all related efforts at GDM.

Head of AI Data

Alectio

Founder

Pioneering the DataPrepOps (a term I coined in January 2021) space and using MLOps + AI to automatically prepare, curate, tune and optimize ML training datasets for specific use cases and models.

Founder & CEO

Various Startups

Currently advising: Mimoto AI, Mpathic, inGen Dynamics. 
Past companies: Veamly, VoiceMe, among others.

Advisor / Fractional Chief AI Officer

International Institute for Analytics

- Educated operators and executives from Fortune 500 companies on AI, Data and MLOps.

- Advised companies to help them build world-class ML teams and strategies.

Expert and Advisor

Figure Eight

Figure Eight (aka CrowdFlower) was the first company to offer enterprise-grade labeling and human data solutions to ML teams. I built and grew the team and technology that led the company to a $300M acquisition by Appen within a year of my hire. 

I left right prior to the acquisition to pursue my entrepreneurship ambitions.

VP of Machine Learning

Atlassian

Built Atlassian's first centralized Machine Learning function from scratch and ran the Search & Smarts team, a cross-functional team in charge of developing all Machine Learning-powered features for all Atlassian products.

Grew a world-class team of data scientists and engineers from 3 to 30+ people in less than 6 months, across 3 locations (Mountain View, San Francisco and Sydney).

Products developed by my team:
- Cross-Product Search: Centralized Search Engine to search across all Atlassian products
- User Search, Smart Mentions, Recommendations, News Feed

Chief Data Scientist, Head of Search & Smarts Engineering

Walmart Global Tech

My achievements as a leader of the Search Relevance team

- Build and led the Metrics Measurements & Insights team, a group of 12 people (including product managers, engineers and data scientists), in charge of advancing the usage of data and ML best practices within Search.

- In charge of all Human Evaluation initiatives / preparing training data for the rest of the department.

- Bootstrapped the Store-Search team, the first ever group data scientists allowed to operate across Walmart stores and Walmart eCommerce. The iniative broke down one of the trickiest silos at Walmart and aimed at democratizing the usage of data from Walmart Stores to improve the algorithms used on Walmart.com

Team projects:

- Metrics development: our team developed key metrics for the organization, such as item discoverability, customer satisfaction and LTV, diversity and perception indexes, using both advanced analytics strategies and ML.

- Machine Learning Lifecycle Management / Automated Model Management: the team developed tools to enforce and automate ML best practices and manage models without the need for human intervention and accounting for systems performance and cost.
- Browse Ranking: the team's new solution increased the revenue coming from browsing customers by ~10%.

- Human Evaluation:  our team created active learning algorithms that cut in two the volume of data that the Search Department originally had to be evaluated manually.

- Stores-Search: the team developed multiple signals and indicators based on Walmart Stores data to improved the accuracy of the company's Learning-to-Rank models.

Senior Data Science Manager

- Review Analysis: I invented an advanced strategy using Post-Purchase Customer Feedback to advise customer purchases (3 patents covering the technology).

- Various projects to advice the Data Strategy of the Department and guide Product Development.

Principal Data Scientist

SymphonyAI

Ayasdi (now known as SymphonyAI) was a VC-backed Machine Intelligence company that developed the concept of Topological Data Analysis (TDA) as an innovative way to complement traditional statistical techniques for data analysis and machine learning.

As a Principal Data Scientist, I worked both as on pushing the boundaries of the software and on researching new ways to leverage its capabilities when solving real-life problems.

- Worked on all kinds of business problems, from looking for outliers to analyzing customer behavior. The industries I've worked with range from retail, social media to cyber security and the financial industry.

- Developed code to automate data preprocessing and investigated data fusion solutions.

- Actively contributed to the design and development of novel algorithms in Topoligical Data Analysis

YuMe

Leadership/managerial experience:

As the founding member of the Data Science and Engineering team (which I grew to 8 people in 9 months), I lead all data initiatives, built the roadmaps and acted as the team’s spokesperson. I also worked closely with the executive team on collecting more data features to increase the diversity of the company's data, and build a stable data function.

Technical experience:

My responsibilities covered a large range of Data Science problems, such as forecasting, supply allocation, fraud detection, customer acquisition, etc. Here are some of the projects I worked on:

- Design of multiple algorithms to classify our publisher inventory, based on NLP (Bag-of-words and n-gram models)

- Prototyping, development and deployment of the company's fraud detection system.

- Prototyping, engineering and deployment of YuMe’s inventory forecasting algorithms using Latent Class Modeling.

- Development of a scalable supply allocation system using an hierarchical clustering approach.

- Others: user and family-level fingerprinting, design of attention and receptivity classifiers, targeting tools.

Senior Data Scientist - Tech Lead

Quantlab Financial

My job at Quantlab Financial consisted in maintaining and enhancing fully automated market microstructure models and trading algorithms, and assisting the traders in the choice of parameters/indicators to be used in their daily strategies. This involved both development of new algorithms and maintenance of existing code and strategies.

My most exciting project was the conception, prototyping and development from a range of NLP algorithms aiming at forecasting short-term market price movements by analyzing information found in news articles and social media (using sentiment analysis and topic modeling).

Quantitative Research Scientist - Machine Learning and NLP

Who am I?
=========

I am a 360 Data expert with 19 years of experience in Research and Industry with a track record of enabling Data for AI and AI for Data. My personal mission is to prepare Society for the future. I am an AI innovator, a builder and a strategist. I am serial inventor (20+ patents) and a serial speaker (280+ talks).

As a leader, I specialize in bootstrapping early-stage data and AI initiatives (especially under time- and cash-constrained situations), and in steering dysfunctional ones. I like to call myself an "AI wartime strategist", and companies consult with me to design winning data strategies in all types of environments (collaborative or adversarial, small or large orgs, tech and non-tech companies).

As a people leader, I am highly comfortable managing hybrid teams which include a blend of researchers, engineers and PMs. I managed highly technical teams including frontend, backend and DevOps and love putting order in chaos. I believe in leading by example and in helping people achieve their full potential through trust, empowerment and partnership. My collaborators all refer to me as a no-nonsense person.

I am also an envangelist and have given talks and keynotes at most major conferences in the field. Being a role-model to the younger generation of women in Tech is a big part of my mission and I am proud to say that I have inspired many young women to start a career in STEM. 

================================

The companies I currently advice include cybersecurity startup Mimoto and robotics company inGen Dynamics. Past companies: Veamly, VoiceMe, among others.

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