women in data

Meet Kulani Likotsi, Head of Data Management and Data Governance at one of the big four African banks, headquartered in South Africa. Kulani’s career spans from being a developer and analyst in the technical team, and growing into the head of a team in the business. Get to know Kulani ahead of her conversation with Jesse, which will delve into her passion for data governance, data privacy, and people. 

• More about our host, Jesse Anderson
• Read the transcript of this episode
• Connect with us on social media: Twitter, LinkedIn, Facebook
• Find book recommendations and more resources for data professionals at https://dreamteam.soda.io

From Soda, the provider of data reliability and data quality management platform to enable data teams to detect, resolve, and prevent data issues.

Stimmtraining, Bum Bum Eis im Freibad, Vorurteile und Durchsetzungsvermögen, Roller Derby und und und. Miriam und Oliver sprechen mal nicht übers Business! Genau wie ihr lernt Oliver Miriam das erste Mal kennen und fragt u.a.: - Was macht man eigentlich beim Stimmtraining - nur "mimimimi" oder doch mehr? Und wozu ist das gut? - Wie schmeckt Miriams Kindheit? - Muss man sich in einer Patchwork-Familie viel durchsetzen? - Welchen Vorurteilen begegnet Miriam immer wieder? Und viel wichtiger: Wie geht sie damit selbstbewusst um? - Wie sieht ihr perfekter freier Tag aus? - Schließen sich Programmier-Skills und Kreativität gegenseitig aus? Miriam verfügt über langjährige Erfahrung bei der Umsetzung von Self-Service-Strategien für die digitale Transformation von großen Unternehmen. Als Leiterin des Data-Analytics-Bereichs von ORAYLIS entwickelt sie mit Ihrem Team unternehmensweite Analyseoberflächen auf der Basis von Microsoft-Technologien, durch die jeder Mitarbeiter Daten analysieren und geschäftliche Werte erschließen kann.

In this episode of MY DATA IS BETTER THAN YOURS Jonas Rashedi talks in English - with Viviana Ortiz Ruiz, Head of Data at parcelLab. Viviana is originally from Ecuador, now based in Germany, and she has a lot of experience in supply, e-commerce and data analytics. Jonas and Viviana talk about the reasons why lots of jobs in data and tech are occupied by men. Viviana explains that most job applications are from men instead of women. Together they talk about the differences of women and men and how recruitment processes at parcelLab and Douglas work. Both think: Gender shouldn’t be criteria for employment. Often women underestimate themselves and are afraid to apply for roles, because they think that they are not capable of the job. Jonas gives the advice: Never underestimate yourself and don’t be shy in a job interview! You also get a foresight to data in the next years and interesting ideas about how to give access to data to young girls.

Anna is a Domain Owner of Data Science at Metro.digital - an IT devision of METRO AG - driving the story of data science within the whole Metro business. Previous to this position, being a product owner, Anna guided five recommender systems to their success. This journey included transition to cloud, introduction of agile working principles, and the most important – the step from PoC to live products. Before recommender systems, Anna focused on robotics and smart logistics at Zalando SE. As a product manager, she was responsible for warehouse automation with bagsorter system, which included transition to cloud, third party integration, negotiation and planning of constructional and IT interplay. Anna has a strong empathy for the owned products and their users and believes you have to love what you do! Here's what you can take away from the episode: • Why the combination of Data Science and Product Management is so important • Why a data science leader must speak and understand the tech and business language • Play time is over - organizational requirements for companies to really get it on the road • Team setup, roles and collaboration • Starting and entering the Data Science world • Women in Data Science

Sadie is helping pave the way for women in data science as being the first female instructor for Data Science on the Coursera platform, and as founder and CEO of Women in Data - a non-profit organization focused on increasing diversity in data careers. FIND SADIE ONLINE Website: http://sadiestlawrence.com/ LinkedIn: https://www.linkedin.com/in/sadiestlawrence/ Instagram: https://www.instagram.com/sadiestlawrence Twitter: https://twitter.com/sadiestlawrence QUOTES [18:59] "If you're looking to get into Data science and transitioning from something else, what made you successful in that area and what principles did you apply?" [20:41] "I knew that if I was going to do Data science, I needed a community and a tribe of people to be a part of." [22:54] "Data science isn't just about building models and doing that type of work. You're working, usually for, a business..." [34:18] "If you want to own your career, really what you need to do is look at and see what things can I control in my life. And when you start hundred percent focusing on those the world around you is going to change." SHOW NOTES [00:00:40] Guest introduction [00:03:19] Sadie’s path to data science [00:05:52] Data collection in laboratory settings [00:07:32] The data science hype [00:08:24] Is data science going away any time soon? [00:09:39] The positive impact data science will have [00:11:34] Going from good to great as a data scientist [00:14:02] SQL skills you need for data science [00:17:23] An action plan for breaking into data science [00:22:02] Soft skills to elevate your career [00:23:19] Use verbal judo to be more persuasive [00:24:46] How to communicate with executives [00:25:55] The data science mindset [00:27:35] Making the most of networking events [00:29:24] Communication and teamwork [00:30:49] Is data science an art or science? [00:32:55] How to own your career [00:36:38] Steps for combating imposter syndrome? [00:38:17] Tips for women in data science [00:43:45] What can the Data community do to help foster the inclusion of women in the field? [00:45:31] What's the one thing you want people to learn from your story? [00:46:43] Lightning round Special Guest: Sadie St. Lawrence.

In unserem Podcast T HOCH 6 treffen wir Frauen, die uns beeindrucken und nachhaltigen Einfluss auf uns und andere Menschen haben. Gast der heutigen Folge ist genau so eine Frau: Mina Saidze. Als Data Analyst sticht Mina heraus, da im Feld von KI und Big Data der Frauenanteil in Deutschland bei gerade einmal 16 Prozent liegt. Dafür hat sie Anfang des Jahres europaweit den ersten Standort der internationalen Organisation „Women in Data“ gegründet. Als tatkräftige Macherin, welche Herausforderungen gerne anpackt, setzt sie sich mit ihrer Organisation für mehr Vielfalt in der Datenwelt ein! Wir sprechen mit ihr über viele interessante Themen wie Digitalisierung, Innovation und Vielfalt. Dabei trägt Mina noch zahlreiche andere Hüte: Medienmacherin, Aktivistin und Gründerin. Verpasst auf keinen Fall diese super interessante Folge! Hast du Anregungen oder Fragen? Dann schreibe uns deine Ideen und Feedback gerne jederzeit via podcast@missgermany.de

Listen in to this live coffee chat discussion, where a panel of four amazing female data scientists dive into specific themes including imposter syndrome, challenges faced by women in the data science field, and changing career paths.