Datadition - a data and tech careers podcast

My guest today started her career in sales and marketing where she quickly became an accomplished seller, tripling quotas and breaking sales targets  across media and agribusiness sectors. Ever keen to break into the world of tech, she eventually landed her first opportunity at Microsoft on the Azure cloud strategy and digital acquisition group. She of course continued to break records till she recently had the opportunity to focus her tech interests in automation and AI & Ops at IBM. Join me for a conversation with the amazing Sheena Wildenhaus.

We are joined today by Omenaa Boakye who started her career working as a stylist for sets like CBS to home and lifestyle extraordinaire Martha Stewart and a host of renowned brands including Amazon, Saks, Macy’s and L’Oreal to name a few. The fashion polymath that she is, she has also worked as a fashion journalist writing for publications like InStyle to The Times in the UK. She has always been fascinated by the intersection of digital and tech with the world of fashion. She takes us on her journey to tech, and how her creative background and experiences have become a valuable perspective in the digital world as a product designer and user experience researcher for Adobe.

Peace started her academic journey in geology and geosciences going on to later complete an advanced degree in the field at the Texas A&M university. Her work experiences had hovered around the oil and gas sector working as an upstream analyst for BP to investment banking as a financial analyst for Goldman Sachs. Today, she has found herself at the intersection of a data rich environment that has leveraged all of these experiences and her domain knowledge masterfully. Working as a technical product manager at S&P global - an intelligence company focussed on an array of data products, she is focussed on the upstream North American division dealing with intelligent insights for commodities. 

Wuraola is a Pharmacy graduate turned AI researcher, data scientist and technical trainer. She currently teaches concepts around tech, the internet and computers as a LinkedIn instructor and more recently expanded this in one of the most scholastically studied languages in West Africa called Yoruba. She is currently a Data science researcher at Imperial College in London and shares her thoughts on the power of tech and the internet in transforming lives.

Aniekan is a Computer Science graduate. First from the university of Uyo in Nigeria and then currently as an advanced degree candidate at the University of Denver in the USA. Even with her technical academic background she almost opted out of the field completely, until an internship experience where she happened to work in close proximity with the data team. She began to see roles beyond the standard developer/engineer and the opportunities possible especially within the world of data. She is currently completing an internship with Microsoft as a Data Scientist and also runs a personal blog herself

Eniola Alese is a research scientist turned machine learning engineer. She began her journey into engineering with an electrical engineering degree from Covenant university in Nigeria before moving to Canada to complete a masters in Engineering Design. She currently works at Google as a machine learning engineer, whilst also running her very own content platform online educating and enriching others on her journey and how to level up in tech.

Eniola's Tech Youtube Channel
Amazethu - Voice AI startup

Modupe started her academic journey in the world of business but quickly pivoted her skills to tech with a graduate degree covering analytics and a machine learning course at Harvard. She now working as a Business Intelligence Engineer at Amazon and shares her journey that it is possible even for junior's without traditional tech backgrounds to make the leap to FANGs!

Resources Modupe shared during this podcast below:

1. Datacamp
2. Interview book 
3. Udemy for SQL
4. Tableau Training
5. IBM Data science cert
6. Machine Learning Course
7. My article on Tableau certification 

My guest today is a data scientist, computational mathematician whose work bridges statistics, topology, differential geometry, and graph theory particularly within machine learning. She is also a published poet,  a Xennial with an entrepreneurial spirit and has racked up over 14k responses to questions within the Quora community. If you are searching for responses on anything data science you’ve probably heard about her...her name is Colleen Farrelly!

Award winning Data Scientist and researcher - Dr Chantel Perry (fondly known as Dr C) joins us to discuss her decade long career in the field. Dr C's  background covers Statistics and Computer Science and she has worked across fields like education, finance and cybersecurity. She is also a STEM advocate for women and minorities, an entrepreneur and recent author for the Data Newbie To Guru - The Visual Guide to Learning SQL!

Lisa is a data scientist, consumer psychologist, PhD candidate at Columbia University and now adds another dimension to her journey as founder/ceo of Belle51 a beauty technology company developing products that work for black and brown skin communities. She is smart, knowledgeable and draws her diverse and vast insights to make a difference in the world of science and beauty! Find out more about their beauty tech products at Belle51.com

Marcia started her incredible career building the decision management unit at Citi bank and spent over 20 years within the banking industry. She recently started a data consulting firm Tal Solutions that help clients find ways to utilize data such as customer complaints using their unique ML platforms to find solutions and opportunities to develop strategies for positive and more profitable outcomes.

Connect with Marcia on LinkedIn here or at Tal Solutions here

Obianuju was planning to become a doctor of medicine when her path collided with software engineering during her undergrad. She will be completing her Phd in Computer Science at the University of North Texas in 2021 and her areas of research cover human computer interaction exploring themes like empathy whilst utilizing methods such as NLP.

Connect with Uju on LinkedIn here or on Medium here

4 Data Scientists from PepsiCo, NBC, JPMorgan and Amazon/Audible answer 9 questions from our data science community. For resources to help you on your data science journey/career visit the website www.mathamagicians.co

Adi was an awesome data scientist to chat with! He comes from an electrical engineering background having worked in industry before pivoting with an advanced degree in Data Science from Columbia into the data science industry working for Audible an Amazon company. He shares his journey, insights and tips for aspiring data scientists. I hope you enjoy this, let me know what you think in the comments below and download my FREE career resource kit on the website. 

Greg is a super cool guy and data scientist/principal engineer at NBC. He has an advanced degree from Harvard in Statistics and was curious about how he could apply his love of math to a career in the real world. He built up tremendous experience within various FinTech/Cyber security roles as a data scientist and speaks about some of the softer yet crucial skills a data scientist needs to have in their arsenal. Check it out and drop your feedback and thoughts in the comments below.  As always, head to mathamagicians.co/downloads for free tools to up your career game. :-)

Talking to Jordy Kieto a machine learning engineer previously at PepsiCo (for marketing and advertising attribution) and now the NBA on his journey from actor to engineer. Jordy also teaches data science at Columbia University his Alma Mater.  
 
Corporations spend millions of dollars advertising on platforms such as Amazon & The New York Times. This process is often done manually, and we’re often blind to the impact of our marketing actions. Neural network quantifies the multiplicative effect of specific ads on sales for specific products, and also allows us to calculate the ROI for particular actions, telling us the optimal amount to spend. 

Aditi is a super smart Math genius that decided to turn her interests to the world of Data Science. She works in one of the most dynamic data rich industries - Investment Banking and shares her background and insights in this conversation.  I hope you enjoy this, let me know what you think in the comments below and download my FREE career resource kit on the website. mathamagicians.co