Unik ShyaulaUS
Open to opportunities

Unik Shyaula

@unikshyaula

Aspiring Data Scientist with a passion for data analytics.

Zimbabwe

What I'm looking for

I am looking for a role that fosters growth, collaboration, and hands-on learning in data analytics.

I am a motivated and detail-oriented aspiring Data Scientist, currently pursuing a B.Sc. in Computer Science and Information Technology. With practical experience in Python, data cleaning, and visualization, I have developed a strong foundation in extracting insights from complex datasets. My certification in Data Science has equipped me with the necessary skills to tackle real-world data challenges.

Throughout my academic journey, I have engaged in various projects, including a comprehensive analysis of the Titanic dataset. This project allowed me to perform Exploratory Data Analysis (EDA) and develop an interactive Power BI dashboard, showcasing my ability to present data-driven insights effectively. I am eager to contribute to an innovative team and grow through hands-on learning opportunities in the field of data analytics.

Experience

Work history, roles, and key accomplishments

US

Data Scientist Intern

Unik Shyaula

Jul 2023 - Aug 2023 (1 month)

Aspiring Data Scientist with practical experience in Python and data visualization. Conducted exploratory data analysis on the Titanic dataset, developed an interactive Power BI dashboard, and presented key findings through visualizations.

Education

Degrees, certifications, and relevant coursework

Tribhuvan University logoTU

Tribhuvan University

Bachelor of Science, Computer Science and Information Technology

Currently pursuing a Bachelor of Science in Computer Science and Information Technology, focusing on data science and analytics. Engaged in practical projects and coursework that enhance skills in programming, data cleaning, and visualization.

BI

Broadway Infosys

Certification, Data Science

Completed a certification in Data Science, gaining practical knowledge in data analysis, machine learning basics, and data visualization techniques.

Tech stack

Software and tools used professionally

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