My name is Ena, and I'm part of the IBM Community Management team.
My main goal is to support you, answer your questions, facilitate conversations, help you get to know the platform, and make this community an overall great place for you to visit regularly. I'm excited to get to know you all personally.
I'd love if you'd upload a profile picture, then introduce yourself briefly in the comments below by answering one or all of the following questions (feel free to go off script as well):
Here's a little about me: I'm a history enthusiast, I love documentaries, my guilty pleasure is too much black coffee, and I'm super excited to be here at IBM Community.
OK, your turn! Upload that profile picture and introduce yourself!
Hello everyone!My pleasure to meet you all, advocates of Data Science!I'm Winnie Yeung. I specialized in Performance testing using automated test tools working for IBM the past 16 years. Prior to my career move to IT, I had an academic background on Actuarial Science having my early career in the Life Insurance industry. As you might know, Actuarial Science is within the field of Applied Statistics, an early form of supervised Machine Learning and modeling. The emerging Cognitive Computing and Data Science have rekindled my passion in Statistics like an unfulfilled dream. I am excited that Data Science has now given new meaning and purpose for so many business applications! I download and experiment Data Science toolkits, Watson Studio, SPSS, IoT on Cloud. What I found most helpful in my learning is attending local meetups. I take advantage of every opportunity to share and collaborate hence the Communities! As volunteer, I most recently reach out to Grade 7 and 8 students in summer camp to mess up a few things with Raspberry Pi, and Voice box configuring Cloud. A lot of fun, laughter AND sweat but no effort ever wasted! What's your kind of adventure path?
Hello! I'm Sara Amuso, a client reference manager for IBM Analytics, Data Science. I'm interested in hearing from clients about their experience with IBM and from Sales to suggest customers who can tell their story...Please reach out if you have anyone who is happy with IBM, has transformational or quantifiable benefits as a result of their experience with IBM. We write up their stories, video tape them, and even just get a quote or ghost write a blog for them! Thanks!
For rapid prototyping:
Microsoft Azure + Google BigQuery for near real time pipelines & ground algos working demonstration. (Automatic data distribution visualizations/graphs + simultaneous neural networks training with different hyper-parameters for comparison)