In this episode, Savitha discusses her story in marketing, how to properly build out a team and marketing analytics applications. About Savitha Namuduri Savitha Namuduri has 20 years of experience in Data Science and Analytics space, spanning over several industries such as Telecom, Utility, Retail, Finance, QSR, Insurance, Healthcare and CPG. For the past 15 years she has been running Marketing Analytics teams for agencies such as Omnicom and Wunderman, with her most recent stint being for Zeta Global. She has led the development of solutions for informing and measuring several aspects of marketing, including Customer Acquisition, CRM, Omni-channel Marketing and Customer Journey. Her analytical skill sets range from developing visualizations, to customer segmentation to building predictive models and democratizing data science techniques to solve day-to-day business problems. In addition, Savitha also focuses on providing data-driven recommendations for strategy, setting up experimental designs, conducting primary and secondary research, and developing learning plans to inform marketing and sales strategies. She brings a unique blend of business acumen and technical skill set to consult with clients on the best marketing practices and measurement. Savitha has a Ph.D. in Managerial Sciences from Georgia State University, Atlanta's Robinson School of Business. Outside of work, she performs and teaches Indian Classical Music and spends time exploring trails with her family. Overview Savitha shares her story on how she started in sociology and how she transitioned to a managerial science PhD. Her drive to excel was the key to her own success.  She discusses what type of business applications there are for analytics & AI in marketing and what algorithms are used. Algorithms are at the core of marketing campaigns. Through using algorithms, it helps pull together strategy information, measurement & KPI's, and knowing your customers. Savitha explains where to start in your marketing analytics journey and how to be a better data scientist serving marketing business partners. Social Handles: LinkedIn: https://www.linkedin.com/in/savitha-namuduri/ Twitter: https://twitter.com/snamuduri Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

 In this episode, Chrissie discuss the data sources used for pharmaceutical research and developments, the ethical issues arising with the use of data in the pharmaceutical industry, and what the future of AI looks like in the pharmaceutical industry. About Christine Fletcher Chrissie is the Vice President of Development Statistics at GlaxoSmithKline.  She leads a group of statisticians supporting the development of new and approved medicines in immunology, hepatology/gastrointestinal, respiratory, cardiovascular, neuroscience, HIV, global health and infectious disease areas.  Chrissie has worked in the Pharmaceutical Industry for 30 years and has experience of developing and commercializing new medicines in a variety of clinical disease areas across all phases of clinical development.  She previously worked at Amgen in a variety of leadership roles and began her career working at SmithKline Beecham. Chrissie is actively engaged in statistical societies, pharmaceutical trade associations and initiatives relating to the Pharmaceutical Industry.  Chrissie is the Chair of PSI, a Council member of EFSPI, and a member of various European and International Special Interest Groups.  Chrissie is a member of the EFPIA Clinical Research Expert Group and is leading the Innovation in Clinical Trials sub team.  Chrissie is the lead EFPIA representative for the ICH E9(R1) Working Group, and she is co-leading an EFPIA/EFSPI estimand implementation working group. Chrissie is a Chartered Statistician of the Royal Statistical Society (RSS).  Chrissie has an MSc in Applied Statistics and a BSc (Hons) in Statistics with Management Science Techniques. Overview The pharmaceutical industry has had many advancements thanks to data and AI. Chrissie discusses how these advancements have supported the research for vaccines during the pandemic. We spotlight the ethical problems that may arise when using data in the pharmacy industry. From her 30+ years of experience, Chrissie shares her advice for those who are looking to work in the pharmaceutical industry. She closed out the podcast by discussing what most excites her about the future of AI. Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Listen in as Hana Khan shares how you can improve your data storytelling. She covers how communicating data has evolved over the past 10 years and her predictions for the future. Your secret weapon when telling a data story, is finding your voice. Hana tells her favorite tools for presenting data and the top 5 tips on how you can present your data confidently. She also has given DataBytes listeners 20% off of her course "Present Data with Confidence". See below for link and code! Hana has been working in the data field for 7+ years and founded Trending Analytics so she can help data practitioners improve their skills in presenting and visualizing data.  Connect with Hana: Instagram and Tiktok: @hanalytx  LinkedIn: linkedin.com/in/hanakhan Course: trending-analytics.com/present-data-with-confidence Use Code for 20% off: DATABYTES20 Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

In this episode, Diane discusses how the finance industry has changed in the last 20 years due to data and AI. As a CIO, Diane Lye knows what are the essential skills/traits you need to be successful. Learn how you can navigate the continual changing environment of the workforce and set your teams up for success. Diane also shares her journey into the financial industry and what some of the challenges she faced and lessons learned along the way to be successful.   Diane Lye, CIO of Card & Small Business Technology at Capital One. Prior to her role at Capital One, she has held executive positions at Bank of America, Citit Group, and Amazon. Diane also holds a PhD in Demography from the University of Pennsylvania.  --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Avi Gesser is partner in the Data Strategy & Security practice at Debevoise & Plimpton, a global law firm based in New York. He advises companies on privacy, cybersecurity and artificial intelligence matters, including incident response and data minimization. Avi has represented international financial services firms, private equity firms, hedge funds, and media organizations through large-scale data breaches and AI incidents, including coordinating with law enforcement, responding to regulatory investigations, advising boards and executives on liability issues, and defending against civil lawsuits. Avi is the primary author of the firm’s Data Blog and the architect of the Firm’s Data Portal, an online tool that helps clients quickly assess and comply with their cyber breach notification and AI obligations. From 2010 to 2013, Avi was the Counsel to the Chief of the Justice Department, Criminal Division’s Fraud Section. Connect with Avi on LinkedIn: https://www.linkedin.com/in/avi-gesser/ Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Lan Guan is a Senior Managing Director at Accenture and currently leads the Global AI Solutions within Accenture’s Strategy & Consulting domain. In this role she is responsible for working with clients to develop and implement data and AI strategies for their organizations. Lan has spent the last 18 years at Accenture working with Fortune 100 and large multinational clients across industries. As an experienced Strategy & Consulting professional, Lan brings deep expertise in transforming all forms of data into actionable strategies and plans to maximize market opportunities for clients. Connect with Lan on LinkedIn:  https://www.linkedin.com/in/lan-guan/ Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

AI is for everyone. You may not feel like you can total understand the AI world but Gianluca Mauro is here to help! He believes that AI should be accessible to all not just those in the tech world. Gianluca has a vast knowledge of AI and has even founded the AI Academy. (Check the website out below!) Gianluca Mauro is the author of “Zero to AI”. His mission is to make Artificial Intelligence more democratic, enabling people without a tech background to understand it and use it in their profession. He has taught AI to hundreds of people, ranging from high school students to executives at large multinational corporations. Article Reference: https://medium.com/startup-grind/i-reverse-engineered-a-500m-artificial-intelligence-company-in-one-week-heres-the-full-story-d067cef99e1c  Connect with Gianluca: LinkedIn: https://www.linkedin.com/in/gianlucamauro/?i=emailsignature Instagram: https://www.instagram.com/gianluca.mauro/?i=email_signature Blog: https://blog.gianlucamauro.com/?utm_source=emailsignature&utm_medium=email&utm_campaign=emails Website: www.ai-academy.com Link to Class:  https://school.ai-academy.com/ai4humans Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Up level your leadership skills with Jamie Martin. She is a Life and Leadership Coach who is passionate about helping people who have been going so long they have lost themselves. Her 17 year career in technology at companies like DoubleClick and Google, combined with intensive coach certification gives Jamie a unique perspective into what it takes to make a significant transformation for her clients. She has allowed herself to expand beyond industry, career paths, and she continues to do that as a coach. Jamie partners with women in technology to own their voices and build a career that they desire without sacrificing their lives for it. Leadership can mean different things for everybody. So how do you know if you have authentic leadership? Jamie discusses what authentic leadership looks like for her.  Learn the challenges that women leaders face and how you can overcome them. Jamie talks about career shifting from tech into life coaching. She also shares tips on how you can find what you love in your work.   Connect with Jamie: Instagram: https://www.instagram.com/jamiemartincoaching/ LinkedIn:  https://www.linkedin.com/in/jamiemmartin/ Website: www.jamiemartincoaching.com Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Heather Hill is a leader and influencer with over 15 years experience in the business intelligence space. She is actively involved in the analytics community as an international speaker, published author, and SAP mentor. Heather applies her passion for delivering business intelligence and analytics programs, enabling winning teams and promoting women & minority leaders through her coaching solutions. Get ready to learn how to be a leader in analytics! Heather shares the need for more women leaders in the space of analytics and how you can evolve yourself into that role. Connect with her on LinkedIn: https://www.linkedin.com/in/heathersinkwitzhill/ Check out her website: https://www.bisuccesscoach.com/ Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

As the Senior Director for Applied Artificial Intelligence at RelationalAI and an advisor on multiple boards, Michelle Yi specializes in machine learning and cloud computing and has 15 years of experience in technology consulting. She is passionate about diversity, STEM education/careers for our minority communities, and is an avid volunteer with Girls Who Code. She enjoys building teams dedicated to leveraging cutting-edge technologies and techniques to tackle some of the most difficult business and societal challenges. Are you curious how machine learning is impacting healthcare? In this episode, Michelle discusses the main challenges she see in machine learning and how she is hoping to solve them. She shares what role robotics pay in the world of healthcare. If you are looking to get into data science for healthcare, Michelle talks about her key advice for you! Connect with her on LinkedIn: https://www.linkedin.com/in/michelleyulleyi/ Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support