Say something about yourself, short and sweet.
As a Data Science Master’s candidate at the Roux Institute, my passion for data was ignited through analyzing cycling metrics, which showcased the transformative potential of data in optimizing performance. This intrigue propels me to develop sophisticated algorithms, aiming to harness data-driven insights for impactful decisions.
My business background has equipped me with strong communication skills, crucial for any team or project. Coupled with my ultra-endurance athletic pursuits, I’ve developed a remarkable resilience that stands firm especially in tough situations where support is scarce. These experiences have honed my ability to lead, adapt, and solve problems, ensuring I stay effective even under pressure.
About me.
Raised in Yarmouth, Maine, I developed a deep connection with the mountains, and the outdoors in general. Now, I’m an endurance athlete with several cycling records under my belt.
My journey on two wheels has not only shaped my physical endurance but has also steered my intellectual curiosity towards the power of data analytics. The intriguing blend of precision and strategy in both cycling and data analysis led me to delve deeper into the latter.
With a rigorous athletic background, I bring a rare blend of strong work ethic, perseverance, and a meticulous approach to problem-solving. My hands-on experience with data analysis for enhancing athletic performance and driving business analytics has been instrumental in deriving actionable insights. My passion for ultra-endurance events has helped me take a new perspective to challenges where a simple solution rarely exists.
The thrill of decoding data patterns to optimize cycling performance was my first tryst with the magic of algorithms. This fascination has grown manifold, fueling my passion for building robust algorithms that can transform raw data into strategic solutions.
As I stride towards gaining a comprehensive understanding of data science, I bring both my analytical aptitude with my athletic discipline to contribute uniquely to projects that demand a blend of precision, innovation, and endurance.
Job Search Strategy Plan
Network with Current Contacts
Reach out to individuals in my existing network for advice and potential job leads. This might include former colleagues, mentors, or acquaintances from conferences and workshops.
Dates: October 17th to November 5th
Define My Category and Companies of Interest
Spend time introspecting on what exactly I’m targeting in my job search. Is it machine learning, data engineering, or another niche? This will help in tailoring my applications and in identifying the right companies. Description: Discover and list down companies based in Maine that align with my interests and are known to be innovators or key players in the domain.
Dates: October 19th to October 25th
Evaluate Company Size and Learning Opportunities
Before applying, ensure the companies are of a size where I can benefit from peer learning. Given my previous solo roles, I should target companies where mentorship and collaboration are integral.
Dates: October 26th to October 31st
Send out Applications to Companies
Send out 15 applications to job posts of interest. Use NEU works and connections to send applications.
Dates: November 1st to November 7th
Interview
Go to at least 5 interviews
Dates: November 7th to December 15th
Accomplishment Stories
Below are selected works and projects I have had the privilege of contributing to:
WaveWise
I am the CEO/Founder of this venture and head computer scientist. Check out the website I wrote in JavaScript.
Patagonia Cover Photo
“Jake Inger dropped from the summit just as the light faded, but with winter coming, every sunset ride is worth finishing in the dark.”
Port to Peak Video
A video about me biking and skiing across New England.
My site
Want to see more?
Check out my personal website.