Elevating women in data

THURSDAY, SEPT 9 2021

Sponsored by

Community partners

Data Science Salon Elevate is a unique women focused virtual conference that includes BIPOC, members of the LGBTQIA+, and other underrepresented groups. This event series brings together data science specialists to educate each other, illuminate best practices and innovate new solutions. Learn as these thought leaders share their wisdom and experience in their chosen field.

Speakers

Lauren Stern

Lauren Stern

Data Science Community Lead at Audi of America

Beata Kouchnir

Beata Kouchnir

Director of Machine Learning at Glassdoor

Laura Edell

Laura Edell

Chief Data Scientist, AI Markets & Innovation at Microsoft

Angela Bassa

Angela Bassa

Senior Director of the Data Science and Analytics Center of Excellence at iRobot

Piyanka Jain

Piyanka Jain

President & CEO at Aryng

Vidhi Chugh

Vidhi Chugh

Staff Data Scientist at Blue Yonder

Tempest Van Schaik

Tempest Van Schaik

Senior Machine Learning Engineer at Microsoft

Smiti Sharma

Smiti Sharma

Sr. Director, Systems Engineering at DataStax

Anna Anisin

Anna Anisin

Founder & CEO at Data Science Salon

Schedule

(All times are US Eastern Time)

12:00pm - 12:15pm

live chat on linkedin

12:20pm - 12:30pm

Introduction

Anna Anisin – Founder & CEO at Data Science Salon

12:30pm - 1:00pm

Building A Data Science Community

Lauren Stern – Data Science Community Lead at Audi of America

Data Science is a relatively new term circulating around the tech world. Unlike many other of our more established partner fields such as Statistics, Computer Science, and Computer Engineering we do not have the luxury of relying on institutional degrees and countless years of direct experience to determine a candidate’s ability to perform their job functions. Data Science is in the unique position of being driven at its core, by a predominantly peer led community. Building a strong Data Science Community means more than just checking off a box. It means enabling your workforce with critical technical skills, promoting the adoption of advanced analytics, and providing overall faster customer response times. It means creating an inclusive space where your employees feel heard and are able to share best practices, current issues, and new project ideas and technologies.

Dive deeper with us into what it takes to get a community set up, where some common pitfalls occur, the expected benefits for stakeholders, and finally some tips and tricks for growing your community and helping it thrive!

1:00pm - 1:30pm

BAM! Reinforcement Learning : Taking Recommenders Up a Notch

Laura Edell – Chief Data Scientist, AI Markets & Innovation at Microsoft

1:30pm - 2:00pm

A Few Reflections on a Data Science Career

Angela Bassa – Senior Director of the Data Science and Analytics Center of Excellence at iRobot

How do you grow and lead a high-performing data science team? As someone evaluating whether to join a new team, how do you know what to expect? What should you look for? Data scientists come from all walks of life and contribute in their own ways. Teams need to recognize that, care about each other’s work, know how to connect it to the business, and foster a diverse and resilient environment. This talk will explore how to identify, join, and build healthy data science teams. It is relevant for students and early-career professionals who are interested in exploring data science and understanding what skills and qualities are sought-after within the field. While specific to data science, this talk is also valuable for midcareer professionals and managers across a variety of disciplines who want to know how to instill a positive culture.

2:00pm - 2:30pm

Convergence of Data, Data Governance and AI/ML

Smiti Sharma – Sr. Director, Systems Engineering

The volume of data, the exponential velocity with which new data is generated is talked about much. What is also becoming apparent is the business need to maintain data quality, discover insights from this data while maintaining parameters of regulation and data guardianship. In this talk, we will talk about how companies are using AI ML embedded in transactional systems that deliver real time insights to their customers. We will touch upon data governance and data sovereignty requirements that have been widely used by various industry domains

2:30pm - 3:15pm

Coffee Chat

Tempest Van Schaik – Senior Machine Learning Engineer at Microsoft
Piyanka Jain – President & CEO at Aryng 
Vidhi Chugh – Staff Data Scientist at Blue Yonder
Moderated by Q McCallum – Senior Content Advisor at Formulatedby

3:25pm - 3:45pm

Data Science in banking solutions

Vidhi Chugh – Staff Data Scientist at Blue Yonder

Multiple AI-driven solutions exist in the banking industry, but considering the critical role it plays in the economy and the consumer interaction, it needs more explainability on the prediction outcome. The talk intends to use Bayesian networks to better understand causal reasoning and generate insights on the credit worthiness of the borrower.

3:45pm - 4:15pm

How to identify top AI/Data Science projects and deliver rapidly on them

Piyanka Jain – President & CEO at Aryng

This session will lay out a methodology to identify the most promising projects for a company (i.e., the analytics roadmap). And then, we will showcase how to execute those projects with minimal resourcing rapidly. The recipe we share can serve as a playbook for any head of Data Science/Analytics to drive maximum value from their company.

4:15pm - 4:45pm

Applied Machine Learning (a.k.a Research vs. The Real World)

Beata Kouchnir – Director of Machine Learning at Glassdoor

One of the main reasons that motivates people to get into machine learning is the incredible pace of innovation and potential for world-changing impact. While we all get very excited about the latest breakthroughs coming out of think tanks such as Google Research and OpenAI, for most of us, those discoveries have little in common with our day-to-day work. This talk addresses the less glamorous, but still very complex reality of applying machine learning to “real world” business problems.

4:45pm - 5:00pm

Wrap up

Register

DSS Elevate is a non-profit event. Your ticket covers our production fees so we can continue to elevate women and other underrepresented groups.

For any queries regarding Registration or Tickets, please contact us via info@formulated.by 

sample of topics covered:

Machine learning best practices
Data strategy and governance
Data ethics and bias
Recommendation engines
Designing ML pipelines efficiently
Career paths
Hiring and Recruitment
Seeking mentorship with purpose
The importance of female-first spaces
Navigating male-dominated teams
Overcoming imposter syndrome
Data science teams: managing, building, collaboration
Integrating open source tools into your workflows
Data and AI for emerging platforms
Data governance

About DSSe

DSSe is an initiative to elevate and connect the voices of women in data science and encourage companies to set better standards in hiring women for data-intense roles. To expand our mission, we are committed to creating the most inclusive and diverse community for women including BIPOC, members of the LGBTQIA+, and other underrepresented groups. By elevating our community, we have the opportunity to build a truly incredible and thriving field that influences decision-making at every level in a meaningful way.

DSSe is important because the field of Data Science is still young — for it to fulfill its true potential, we need voices that reflect the full experience of the world we live in to contextualize our data-derived insights.