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Data Bytes

Latest episodes

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Mar 31, 2022 • 41min

Crypto Research with Kim Grauer

Overview We chat with Kimberly Grower, the Director of Research at Chainalysis. She has has a Masters degree in Philosophy from Oxford University and a Master in Public Administration with a focus in Economic Policy from London School of Economics. In this episode we discuss how she got into the crypto space, how Chainalysis is using data to inform policy, consumers, and provide research, and finally we take a deep dive into her 2022 crypto crime report to discuss the industry and how consumers can better protect themselves from fraud with well informed information. Be inspired by the opportunity available for data professionals to enter the crypto space.  About Kim Grauer  Kimberly Grauer leads research at Chainalysis, where she has led numerous reports on macroeconomics trends and dynamics in the cryptocurrency space. She previously worked in policy research for the New York City Economic Development Corporation, has a Masters degree in Philosophy from Oxford University and a Master in Public Administration with a focus in Economic Policy from London School of Economics. 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
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Mar 24, 2022 • 24min

Building a Data Culture with Prachi Priya

Overview  Before data became “cool,” Priya pioneered some of the earliest advancement in the space and helped companies like Hyundai, Shell, and Microsoft find ease and avoid over-architecting informed solutions. In this episode we discuss, how to build a data culture, some of the key challenges when building a data culture, and the need for data storytelling skills across the organization. This episode is great for leaders looking to make organizational change, and individuals looking to maximize their impact.  About Prachi Priya In her role, Prachi oversees the agency’s consolidated Data & Analytics team across all six of Team One’s offices. With over 18 years of success conceptualizing, developing and delivering best-in-class analytics solutions, she ensures that the company’s products and capabilities are ahead of industry trends, by archetyping the next generation of data strategy, analytics and partnerships.  Before data became “cool,” Priya pioneered some of the earliest advancement in the space and helped companies like Hyundai, Shell, and Microsoft find ease and avoid over-architecting informed solutions. She’s always ready to roll up her sleeves and dig into details, while also keeping strategic intent top-of-mind and leveraging the latest advancements in analytics. Priya excels at helping organizations become innovative and modern, adopting the mindset that it’s okay to lean into data and technology as a competitive advantage, while preserving the legacy in which a company was founded upon. Prior to joining Team One, she held various leadership roles, both on the agency and business-side, at global firms like Wunderman Thompson, UnitedHealthcare, and Lifetime Fitness where she helped drive growth and strategic consumer relationships. She also currently serves on the Asians in Advertising and I-COM advisory boards and collaborates with industry leaders to develop best practices in Data-driven Marketing Social Handles Linkedin                https://www.linkedin.com/in/prachipriya/ 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
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Mar 17, 2022 • 36min

Wellness in the Workplace with Mark Mohammadpour

Today we chat with Mark Mohammadpour, owner and Chief Well-being Officer at Chasing the Sun. Mark shares why we need a focus on wellbeing now more than ever, what individuals, team leaders, and organizations can do to positively impact wellbeing, and mark shares his journey to becoming a chief wellbeing officer. This episode is packed with tons of actionable insights and recommendations you can take today to live your best life and career.  About Mark Mohammadpour Mark Mohammadpour is the owner and Chief Well-being Officer at Chasing the Sun. After spending his public relations career as an executive at Edelman and Weber Shandwick, and after losing and keeping 150 pounds over the last decade, Mark launched Chasing the Sun to empower business leaders to prioritize their well-being so they can shine in the family room and the board room. Mark’s keynote speeches, workshops, and individual, team, and enterprise-wide programs deliver relatable, practical, and actionable advice to help increase Overview Why do we need to have a focus on well-being now more than ever? Mark is here to answer that question and help us find wellness in the workplace. We find positive outcomes in our health and career when we focus on our well-being. Mark shares how we can take control of our wellness at an individual and team level. He talks through the unwritten rules about how to manage and engage with people to make sure they are taking time for themselves.  Social Handles Linkedin               https://www.linkedin.com/in/markmohammadpour/ Instagram             @markmoh Twitter                 @markmoh Website               chasingthesunpdx.com Email                  mark@chasingthesunpdx.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
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Mar 10, 2022 • 29min

From Logistics to Chief Data and Analytics Officer for the Army with Joyce Myers

Overview We speak with Joyce L. Myers, Chief Data and Analytics Officer for the U.S. Army. She has over 40 years of experience and has seen drastic changes within technology and also women's rights. She shares practical advice how you can have a positive attitude to achieve your career goals. In addition,  she talks about the new advancements in data and analytics for the U.S. Army and the new role that has been created of data science within the Army. Joyce is also a member of Women in Data, and mentor. You will enjoy this episode as Joyce shares her practical advice and thoughtful insights she provides.  About Joyce Myers Ms. Joyce L. Myers assumed the Chief Data and Analytics Officer position in September 2020. She is responsible for the command wide data and information strategy, governance, control, policy development, and effective data exploitation.  Prior to this she served as the AMCOM Secretary of the General Staff (SGS) from June 2018 - September 2020. She was born as part of a military family. After completing her Associate’s Degree in Structural Engineering, she joined the U.S. Army in 1984. She supported various Army Logistics data contracts from 2005-2010. From 2010 – 2018, she led the teams that were responsible for analyzing multiple logistics data sets to identify data trends related to processes, systems, policies, and internal business rules to identify possible impacts each particular data set, on its own and when integrated, and on materiel readiness and customer requirements. In addition to her Associate’s Degree, Ms. Myers holds a Master of Science degree in Education and a Bachelor of Science in Business Administration (Logistics Management).  Ms. Myers holds a Graduate Certificate in Enterprise Systems, a Lean Six Sigma Green Belt, and is a SAP TERP 10 Certified Associate. Ms. Myers’ is active in her community through leadership roles in several nationwide non-profit Veteran Service Organizations. Social Handles Linkedin               https://www.linkedin.com/in/joycemyers/ Instagram             @joycemyers6  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
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Mar 3, 2022 • 21min

Driving Analytics Insights in the Public Sector with Monica McEwen

In this episode we chat with Monica McEwen, Managing Director for Government and Public Services Strategy & Analytics team at Deloitte. She talks about use cases in government for AI & Analytics, how to make a career change in the pandemic, and how to find mentorship & sponsors.  About Monica McEwen Monica is a Managing Director in the Government and Public Services Strategy & Analytics team at Deloitte. Monica is a thought leader with experience helping government agencies with their most challenging analytics & data challenges. Prior to joining Deloitte, Monica has spent the last her career working for software companies (ThoughtSpot, Qlik, Cognos) and supporting Government Agencies.  Monica loves to work with clients on their most challenging data problems and brings the perspective of solving business problems combined with technology.  Overview Learn the key points along Monica's journey that has gotten her to where she is today. She answers some questions like " What are the types of problems governments are looking to solve with analytics?" and "What advice do you have for those looking to work in the public sector? ". She shifts into the great resignation and how many people are searching for change. Monica shares how she has dealt with change in the past and gives advice for those facing a mid to quarter life crisis and want to make a change. In addition, Monica shares the power of mentorship and tips on how you can find a mentor. Seeking a mentor or mentee? We are here for you! Check out more information about our mentorship program below: https://www.womenindata.org/mentorship Social Handles Linkedin               https://www.linkedin.com/in/mmcewen2006/ 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
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Feb 24, 2022 • 34min

Analytics Strategy with Sudeshna Choudhury

Sudeshna Choudhury started her career in analytics in the early 2000s, given her a wide range of experience and deep understanding of the analytics space. In this episode you will gain insights on how to develop a lasting analytics strategy and how to revise your strategy to best fit the changes in our current environment. Sudeshna also shares about the work she is doing with Women in Data in India and how it is changing the diversity in data careers.  About Sudeshna Choudhury Sudeshna Choudhury is currently the Head of Strategy, Business Analytics, Analytics and Insights at Tata Consultancy Services. With a career in Data and Analytics for the last twenty years, her skills, interests and focus are all around data and Analytics and engagements around that. She is very passionate about Data for Good and Sustainability solutions and is keen on networking and collaborating on these platforms across industries and academic institutions. She is an IEEE senior member of Kolkata Section and Chair for Women in Engineering (WIE), IEEE, Kolkata Section. She is the first Chapter Lead in India for Women in Data and Asia Region Head for the same. Data being her passion since the start of her career, her role in Women in Data gives her an opportunity to work with Data across the globe and across organizations to promote involvement and networking with women in Data and work towards a wider cause of Data For Good. Overview What did a data career look like back in the 2000s? Take a deep dive with Sudeshna as she shares her journey through analytics. She shares the changes that she has seen within the last 20 years and what she is looking forward to in the future. Sudeshna talks through the components of a successful analytics strategy, and how strategies  differ based on the size of an organization. Strategy is important but she tells us how we can move from strategy to execution. Sudeshna is also very passionate about diversifying data careers. She talks about Women in Data in India and what some of the biggest barriers she sees to increasing representation in data. Social Handles Linkedin               https://www.linkedin.com/in/sudeshna-choudhury-31335692/  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
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Feb 17, 2022 • 27min

Equity in Data Career Pathways with Asya Spears

Our guest this week on the Data Bytes podcast is Asya Spears. In this episode, learn how we can advance equity in data careers and how we can better think about transparency within our data. Asya shares great insights into systems thinking and how we can think outside of the box.  About Asya Spears Asya Spears is a Biostatistician turned STEM Education researcher who focuses on how data skills are cultivated and applied to advance equity in spaces where data is a part of the conversation. As the founder of Rose Data Studio, a data career strategy firm, she teaches skills beyond theory and coding that enable women to align with their passions, showcase their talent, and thrive in their professional endeavors to use data for good. Asya studied Math at Spelman, a Historically Black College that gave her a foundation in creating inclusive learning environments. She earned her MS in Biostatistics at the UCLA Fielding School of Public Health, where she discovered joy in making statistics concepts accessible to others in Public Health. Currently, she is pursuing her Ph.D. in Policy Analysis at the Pardee RAND Graduate School, with an emphasis on data literacy as a key component of advancing health equity.  Overview There is inequity in data careers but Asya shares how we approach this problem and find a solution based upon her research. Asya discusses why more people need to speak up and share their ideas on this issue, and she shares her own experiences where she thought differently than everyone else in the room and what the results were.  Social Handles Linkedin               https://www.linkedin.com/in/asyaj Instagram            @rosedatastudio Twitter                 @rosedatastudio Expertly Position Yourself for Data Analysis Roles in Healthcare Masterclass: https://rosedatastudio.thinkific.com/courses/masterclass-data-analysis-roles  Use code "DataBytes15" for 15% off of course  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
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Feb 10, 2022 • 26min

Creating a Lasting Data Governance Practice with Susan Walsh

This week on Data Bytes, Susan Walsh discusses data governance. What is it, how can you make sure your data governance strategy stays up to date and who is responsible for maintenance. She not only shares her data insights but also her tips on being yourself on social media. With over 26,000 followers on LinkedIn, Susan knows how to present herself in a positive and professional way. About Susan Walsh Susan is Founder and Managing Director of The Classification Guru ltd - a specialist data classification, taxonomy customization and data cleansing consultancy. She is an industry thought leader, TEDx speaker and author. Susan has more than a decade of industry experience and used her platform to educate others on all things data. Susan is passionate about helping you find the value in cleaning your ‘dirty data’ and raises awareness of the consequences of ignoring issues through her blogs, vlogs, webinars and speaking engagements. Overview Susan takes us through way all data governances don't last or stay up to date. She shares her advice on keeping data up to date. There is a great cost benefit from having a good data governance practice. Susan also gives insight to another area she is passionate about - Social Media. She talks about putting yourself out there and experiences she has overcome through the pushback she has received. Looking to start sharing more on social media? Susan has you covered, she shares her best tips!  Social Handles Linkedin               https://www.linkedin.com/in/susanewalsh/ Facebook            https://www.facebook.com/TheClassificationGuru Instagram            https://www.instagram.com/classificationg/ Twitter                 https://twitter.com/ClassificationG YouTube              https://www.youtube.com/channel/UCfrWRbL-zeEZsHwjYhj3v_A Website               www.theclassificationguru.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
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Feb 3, 2022 • 32min

Launching a Career in Deep Learning with Misra Turp - Career Development

In this episode, Sadie talks with Misra Turp, the founder of "So you want to be a data scientist?", where she teaches people how to get into data science and deep learning. They discuss topics like real world use cases of deep learning and Misra provides a step-by-step guide in the learning journey for deep learning. Misra does a fantastic job of breaking down the complex things down to a simple, easy to understand format that will help you get started on your deep learning journey. About Misra Turp After graduating from my Bachelor's degree on Computer Science in Turkey, I moved to the Netherlands to attend a master's degree. My master's was a specialization in Big Data Engineering. By that point, I had very little idea on where to go with my career so I let my instincts guide me. Fresh out of college, I started working as a data scientist at IBM. During my time there, I got to work in the finance and energy industry. During my time at IBM, I got a lot of questions from aspiring data scientists about how they can too start their data science career. To answer the questions I received the most often, I started my blog So you want to be a data scientist?. This grew into a full-blown platform with videos, blog posts, a podcast and online courses to serve the data science community. After a brief period working in the healthcare industry, I started focusing on So you want to be a data scientist? full-time. Now I make online courses to help beginners learn data science and deep learning and also create content on YouTube and on my website. Overview Interested in Deep Learning? Let an expert like Misra guide you through the journey. She discusses how we are using deep learning in the real world and shows us the vision and research behind it all. Misra also shares how you can get started in deep learning, and why having a solid ground first is essential. Finally, see into the future as Misra discusses the top trends in deep learning for 2022. Social Handles: YouTube: https://www.youtube.com/c/Soyouwanttobeadatascientist Twitter: https://twitter.com/misraturp Deep Neural Networks Hyperparameters cheat sheet freebie: https://www.soyouwanttobeadatascientist.com/nn-hyperparameters-cheat-sheet Link to Misra's Deep Learning 101 course: https://www.soyouwanttobeadatascientist.com/deeplearning 10% off discount code: DATABYTES22 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
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Jan 27, 2022 • 28min

Causality & Experimentation with Erik Gregory - Industry Case Study

In this episode, Erik explains what casual inference is, use cases for this type of analysis and why asking for reviews from other team members is important. He also dives into experimentation and how we can evolve our analysis. About Erik Gregory "I am a Senior Staff Data scientist with 10+ years of experience who currently works at Meta.  My strengths and focus in data science are experimentation and causal inference, data tools and automation, and social network analysis.  In my current and past positions I have worked on ecosystem analyses, equitable product development, ads targeting, climate analysis, and Biostatistics research.   I grew up in the Sacramento area, and attended school at American River College and later CSU Sacramento.  I currently live in Los Angeles with my wife and our toddler, with a permanent remote worker arrangement.  I like to try to teach myself musical instruments, run competitively, and go to restaurants and coffee shops with my family." Overview This is a great episode for data scientists or individuals looking to get into the field and specialize in causal inference and experimentation. Erik defines causality and what is needed for this type of analysis. He talks through how a causality use case might be used. Erik shares how we evolve the experimentation process. Social Handle: LinkedIn: https://www.linkedin.com/in/erik-gregory-58569a38 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

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