Becoming a Data Scientist

I am still thrilled about the prospect of becoming a data scientist! The progress I’ve made on my journey has been quite impressive, and it seems like I possess the perfect combination of skills and experience to thrive in this field. ?

My Early Fascination with Computers and Coding:

Ever since I was little, I’ve always been intrigued by computers. I excelled in math, had a passion for science, and my interest in programming kicked off when my stepdad gave me a small computer to tinker with and make games. It was my first real encounter with coding, and I believe I was using Basic at the time. The computer came preloaded with games and simple math problems, but I loved diving into the ‘Basic’ codes and creating my own. This experience showcased my natural knack for technology and problem-solving, two key traits for a successful data scientist.

My Background in Programming and Databases

Hey there! So, I’ve had the opportunity to play around with various programming languages and databases. In the past, I’ve tinkered with VB.net, SQL, SAS, and IBM Cognos. These tools have been super helpful for diving into data analysis.
Right now, I’m diving into projects that involve Python, R, and Tableau. It’s been quite the adventure so far! Can’t wait to see where these projects take me. ?

My enjoyment of design and problem-solving

I absolutely love designing and problem-solving – they’re essential skills for data scientists! Being able to come up with elegant solutions to tricky problems is key. For instance, in my role as a Manager, I led my team in coming up with some awesome process improvements and innovative ideas. One of our best ideas was integrating an EDC application with the LABS data. By doing this, we managed to turn a task that used to take 40 hours to complete manually into a quick job that took an hour or less. I called our new tool “EDC2LIMDS” and it was a big success! ?

My love for learning and personal growth ?

I’m constantly seeking out new challenges and chances to expand my knowledge. This is crucial for excelling in any industry, particularly data science. Right now, I’m diving into various hands-on projects related to data analytics and machine learning. Can’t wait to see where they take me! ?

I believe I have the necessary skills and experience to excel as a data scientist. Keep expanding your knowledge and seizing the countless opportunities in this field. Let’s continue to learn and grow together! ?

Here are some additional tips for becoming a data scientist:

• Join the data science community! Whether online or offline, there are many ways to connect with fellow data scientists and gain valuable insights from their experiences. I just joined the Kaggle data science community myself, but I still need to make time to fully explore all it has to offer. Let’s embark on this exciting journey together! ?
• “Get involved in open-source projects: It’s an awesome way to gain experience and enhance your portfolio. Check out my latest project on GitHub and stay tuned for more updates when I find the time to upload my past work.”
• Make sure you’re keeping up with all the latest trends in data science. This field is always changing, so it’s vital to stay up-to-date on the newest technologies and techniques. I’m currently taking a few courses through Coursera, but there’s just so much to learn in one day!

Available for short-term contracts or ad-hoc requests.  See my contact page for more details.

Aaliyah Raderberg, Clinical Programmer, Data Management and Data Automation SME. Expert in Electronic Data Capture (EDC) tools and Reporting solutions. Results-focused with extensive strength in Clinical Data Management and Innovative Thinking.