Saad Yar KhanSK
Open to opportunities

Saad Yar Khan

@saadyarkhan

Data Science student skilled in data analysis and machine learning.

Zimbabwe
Message

What I'm looking for

I am looking for opportunities that foster growth, collaboration, and innovation in data science.

I am a dedicated Data Science student with a strong foundation in data analysis, machine learning, and programming. My experience as a Quality Engineer at Master Changan Motor has equipped me with the ability to derive actionable insights from complex datasets, utilizing statistical methods and predictive models. I thrive in collaborative environments and am committed to continuous learning, which enhances my problem-solving capabilities.

During my tenure, I successfully collected and analyzed laboratory test data, performed root cause analysis, and developed Excel-based dashboards that improved quality control processes. My academic background, including a Master's in Data Science and a Bachelor's in Electrical Engineering, has further solidified my analytical skills. I have also worked on projects like Emirates Review Analysis and Airbnb Review Analysis, where I applied Python and BI tools to uncover trends and deliver interactive dashboards that support data-driven decisions.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

NT

NED University of Engineering and Technology

MS (Data Science), Data Science

2024 -

Activities and societies: Relevant coursework in Business Intelligence and Machine Learning.

Currently pursuing a Master of Science in Data Science, focusing on advanced topics such as Business Intelligence and Machine Learning. Gaining expertise in data analysis, predictive modeling, and deriving actionable insights from complex datasets.

DU

DHA Suffa University

Bachelor of Electrical Engineering, Electrical Engineering

2016 -

Completed a Bachelor of Electrical Engineering, acquiring foundational knowledge in engineering principles and problem-solving. Engaged in relevant coursework that built a strong analytical background.

Tech stack

Software and tools used professionally

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