How I Got Here

I'm a chemical engineer with a passion for data science and analytics. After earning my bachelor's degree in Chemical Engineering, while pursuing an MBA, I discovered that my true passion lay in harnessing the power of data; thus I embarked on a journey that led me to the world of data analysis. This realization prompted me to the transition from business studies to the world of data science.

My Values & Beliefs

Understanding the business strategy

As a data scientist, it's important to know the strategic goals of the company and use them as guidance for the whole data collection and interpretation process. This ensures that the analytics you provide will align with the company's overall objectives and provide value.

Identifying the audience

It's important to consider who will be using the data and insights you provide. Different audiences have different needs, so it's essential to tailor your analysis and communication style accordingly.

Integrity

I prioritize honesty and ethical standards in my work. I believe in presenting data and analysis that are truthful, unbiased, and transparent, ensuring that my findings can be trusted.

Precision

Attention to detail is paramount in my work. I meticulously ensure the accuracy and reliability of my analysis, knowing that even small errors can lead to significant consequences.

Collaboration and Teamwork

I believe in the power of teamwork and communication. By working closely with colleagues from various departments, I can better understand the context of the data and deliver more relevant and actionable insights.

Problem Solving

I approach challenges with a solution oriented mindset. By leveraging data, I aim to address complex business problems, providing actionable recommendations that drive positive outcomes for the organization.

Effective Communucation Skills

Finally, it is essential for a data scientist to be able to provide their findings effectively to non-technical stockholders and managers. This involves being able to explain complex concepts in simple terms, using data visualization to tell a story, and being able to answer questions and provide context for analysis.

A Few More Words About Myself

While persuing an MBA and as a Chemical Engineering graduate, I never imagined that I would end up in a career in data science. during my studies and early career, I discovered a passion for data analysis and problem-solving. I myself drawn to the challenges and opportunities presented by working with data, and decided to pursue a career this field. I began by teaching myself programming and data analysis skills through online courses and personal projects. I am excited to continue learning and growing in this field, and to use my skills to help organizations make data-driven decisions.