How I Made It! The Four Years of Making or Breaking It

Somewhere between the math and the hustle — this photo captures the journey better than words.

The Beginning

Growing up, my dreams changed frequently. Ranging from doctor to architect, game designer, software engineer, actuary, and finally, data scientist. Each ambition, reflecting my interests and experiences, served as stepping stones towards my ultimate career choice. As a child, I remember telling my mother, "I want to be a doctor," I seemed certain, too, but as I matured, so did my aspirations. This journey of evolving aspirations led me to discover my passion for data science during my undergraduate studies in Mathematics, marking the beginning of a path that became immensely rewarding. So, what led me to decide to become a Data Scientist? Let's start at the beginning.

During my undergraduate days studying Mathematics, I frequently encountered a dilemma many math enthusiasts face: what career options do I have when I am finished with school?

This dilemma lingered throughout my undergraduate studies. Despite my proficiency and passion for mathematics, I struggled to see myself thriving in traditional roles like teaching, research, or applied mathematics. It seemed my degree might not lead me to a career that matched my aspirations.

Discovery of Actuarial Science

This perspective shifted dramatically upon my discovery of actuarial science. Intrigued, I explored the profession, including the necessary qualifications, career prospects, and the characteristics of those in the field. Actuaries, akin to modern-day oracles, play a crucial role in calculating risks and uncertainties — they work a fascinating blend of analytical and predictive analytics aimed to ensure financial stability. Sounds very interesting, right?

Motivated by the possibilities in actuarial science, my friend Kamani and I organized an event with our math department to learn more about the field. A highlight moment was meeting a practicing actuary who shared insights into the profession's daily challenges and rewards. This experience motivated us to pursue the rigorous path of becoming actuaries. Despite an initial setback with my first actuarial exam in January 2020, my determination only grew stronger.

Uncertainty to Security

The COVID-19 pandemic in 2020 disrupted my plans. Campuses closed, halting my studies and drying up internship opportunities. This period of uncertainty and isolation led me to reconsider my career goals. As graduation approached, the weight of family expectations loomed. I began to explore new directions and possibilities.

During this reflective phase, I discovered data science — a field that merges mathematics, statistics, computer science, and specific domain knowledge. It promised the intellectual stimulation I craved without the continuous exam cycle found in actuarial science. Eagerly, I began self-study, focusing on SQL and Python, and later enrolled in an AI and Machine Learning Bootcamp. This investment in my education equipped me with versatile skills that would last a lifetime.

Despite the challenging job market amid the pandemic, I persisted in applying to graduate programs in Applied Data Science, steadfast in my belief that education and perseverance were essential to overcoming obstacles. My efforts paid off at the end of January 2021 when I was accepted into a graduate program and received a job offer in the field.

My journey from uncertainty to securing a promising career in data science has been transformative. It underscored the importance of resilience, exploration, and aligning passion with a profession. As I embark on this exciting new chapter, I'm reminded of the value of stepping beyond the familiar to embrace the unknown and redefine my futures.

My aspiration extends beyond personal achievement; I aim to contribute meaningfully to the field, using data to solve complex problems and drive innovation.

What I Learned

Looking back, three lessons stand out from these four years:

1. Career paths are rarely straight lines. Every pivot — from medicine to mathematics to data science — taught me something valuable. Don't be afraid to change direction when you grow.
2. Self-study and bootcamps can bridge the gap. When traditional paths close, you create your own. SQL, Python, and a machine learning bootcamp changed my trajectory more than any single class.
3. Resilience during uncertainty is a skill, not a personality trait. It's built through action — applying anyway, showing up anyway, and believing in the outcome even when the environment says otherwise.