Applying AI & Machine Learning To Finance & Technology

DECEMBER 8-10

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Speakers

Jessica Stauth

Managing Director at Fidelity Labs

Devshree Golecha

Head of Analytics at TDECU

Ilya Katsov

Head of Data Science at Grid Dynamics

Jeff Sharpe

Sr Manager - Tech Lead, Enterprise Platform Products at CapitalOne

Abhishek Mehta

Director of Field Engineering at TigerGraph

Gaurav Deshpande

VP Marketing at TigerGraph

Thulasi Nambiar

Senior Manager, Marketing Data Science at Prosper

Sonali Syngal

Machine Learning Specialist at Mastercard

Brandy Walsh

Data Privacy Attorney at Acxiom

Kristie Wirth

Data Scientist at Zapier

Asaf Somekh

Co-Founder & CEO at Iguazio

Nick Brown

Senior Data Scientist at IHS Markit

Shruti Jadon

ML Software Engineer at Juniper Networks

Manasi Vartak

Founder and CEO at Verta

Laura Gabrysiak

Data Science Manager at Visa

Nikunj Aggarwal

Staff Software Engineer at Citizen

Alyssa Columbus

Datanaut at NASA

Vijay Pravin

Data Analytics Expert at Siemens AG (Germany)

Alina Petukhova

Product Lead at John Snow Labs

Subhabrata Majumdar

Senior Inventive Scientist at AT&T Labs Research

Julia Khan

Vice President of Analytics at SEMrush

Debasmita Das

Senior AI Specialist at Mastercard

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About

Data Science Salon unites the brightest leaders in the finance, technology and travel across the nation in data science fields. We gather face-to-face and virtually to educate each other, illuminate best practices, and innovate new solutions. Data Science Salon | Finance, Technology & Travel is the only industry conference that brings together specialists in the finance, technology and travel data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. Get the most current state of current industry trends and innovations in finance, technology and travel through DSS podcasts, exclusive content, Webinars and live Trainings. DSS also has an extensive on-demand video library of presentations from the top industry experts.

Schedule

(All times are US Eastern Time)

Tuesday, December 8 – Finance

12:00 pm – 12:10 pm – Introduction & Housekeeping

12:10 pm – 12:35 pm – Guided Meditation

12:40 pm – 1:10 pm – Start with why: it’s not just good leadership advice, it’s good data science practice!

Jessica Stauth – Managing Director at Fidelity Labs

1:15 pm – 1:45 pm – Empowering Organization Through Analytical Insights
Devshree Golecha – Head of Analytics at TDECU

1:50 pm – 2:10 pm – A Reinforcement Learning-based Architecture for Personalization Systems

Ilya Katsov – Head of Data Science at GridDynamics

2:10 pm – 2:25 pm – 15 minute break

2:25 pm – 2:55 pm – Data Platforms and Why You Need One

Jeff Sharpe – Senior Manager, Tech Lead, Enterprise Platform Products at CapitalOne

3:00 pm – 3:30 pm – Double the performance of your fraud detection system with graph DB and machine learning

Abhishek Mehta – Director Field Engineering at TigerGraph

Gaurav Deshpande – VP of Marketing at Tigergraph

3:35 pm – 4:00 pm – Building a data science team from ground up

Thulasi Nambiar – Senior Manager, Marketing Data Science at Prosper

4:05 pm – 4:25 pm – Server Failure Detection using Deep Learning: Moving from Research Datasets to Real-World Industry Server Data

Sonali Syngal – Machine Learning Specialist at Mastercard

4:25 pm – 4:30 pm – Wrap up

4:30 pm – 5:30 pm – Tuesdays Together

Wednesday, December 9 – Fin/Tech

11:30 pm – 12:30 pm – Virtual Coffee Chat

12:30 pm – 12:40 pm – Introduction & Housekeeping

12:40 pm – 1:10 pm – Data Privacy Law: An Unexpected Evolution

Brandy Walsh – Data Privacy Attorney at Acxiom

1:15 pm – 1:45 pm – Automating support ticket replies
Kristie Wirth – Data Scientist at Zapier

1:50 pm – 2:10 pm – Lessons Learned on Operationalizing Machine Learning at Scale

Asaf Somekh – Co-Founder & CEO at Iguazio

Nick Brown – Senior Data Scientist at IHS Markit

2:10 pm – 2:25 pm – 15 minute break

2:25 pm – 2:55 pm – How to train a Deep Learning Model in low data regime

Shruti Jadon – ML Software Engineer at Juniper Networks

3:00 pm – 3:20 pm – Reducing operational risk via model monitoring

Manasi Vartak – Founder and CEO at Verta

3:25 pm – 3:55 pm – Opening up the 911 system using a Convolutional Neural Network
Nikunj Aggarwal – Staff Software Engineer at Citizen

3:55 pm – 4:10 pm – Wrap up

5.00 – 5.45 – Cooking Demonstration

Thursday, December 10 – Fin/Tech

12:30 pm – 12:40 pm – Introduction & Housekeeping

12:40 pm – 1:10 pm – How Open Access Information and Software Launches Innovation

Alyssa Columbus – Datanaut at NASA

1:15 pm – 1:45 pm – Insights on the advancements of Data Analytics in Mobility

Vijay Pravin – Data Analytics Expert at Siemens AG (Germany)

1:50 pm – 2:10 pm – Automated detection of environmental, social, and governance issues in financial documents

Alina Petukhova – Product Lead at John Snow Labs

2:10 pm – 2:25 pm – 15 minute break

2:25 pm – 2:55 pm – System to Integrate Fairness Transparently: An Industry Approach
Subhabrata Majumdar – Senior Inventive Scientist at AT&T Labs Research

3:00 pm – 3:30 pm – Business Analyst or Data Scientist? What field to choose if you want to launch a startup in future

Julia Khan – Vice President of Analytics at SEMrush

3:35 pm – 4:05 pm – Deep Learning Algorithm to Rank-Order Resumes using Discriminative Embedding Space
Debasmita Das – Senior AI Specialist at Mastercard

4:05 pm – 4:15 pm – Wrap up

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A SAMPLE OF TOPICS COVERED

Putting ML Apps into production

Personalization at scale with AI

Cloud Automation And Machine Learning

Building ML pipelines to generate decisions faster

Natural Language Processing & Deep Learning

Engineering for Data Science

Scaling ML Production

Data Science Teams: Managing, Building, Collaboration

Improving Data Quality

Machine learning best practices

Data strategy and governance

Data ethics and bias

And more!