Mohsin SahbMS
Open to opportunities

Mohsin Sahb

@mohsinalli

Motivated software engineering student transitioning to data science.

Pakistan

What I'm looking for

I am looking for opportunities that allow me to apply my data science skills in a collaborative environment, focusing on impactful projects that drive business decisions and foster my professional growth.

I am a dedicated software engineering student currently transitioning into the field of data science through rigorous self-study and practical experience. My proficiency in data visualization, reporting, and insight analysis is complemented by a strong foundation in Python, machine learning, statistics, SQL, Excel, Power BI, and Tableau. I thrive on transforming complex datasets into actionable insights that drive decision-making and organizational success.

Throughout my academic journey at Sindh University, I have engaged in various projects that showcase my ability to analyze and visualize data effectively. From analyzing population trends of various countries to developing interactive dashboards for data science salaries, I have honed my skills in leveraging tools like Python, NumPy, Pandas, and Tableau. My passion for data science is fueled by my analytical thinking and problem-solving abilities, which I apply to real-world challenges.

Experience

Work history, roles, and key accomplishments

SU
Current

Data Scientist

Sindh University

Jan 2023 - Present (2 years 5 months)

As a Data Scientist intern, I leverage tools such as Python, NumPy, Pandas, Jupyter, Excel, MySQL, Power BI, and Tableau to analyze and visualize data. I excel at transforming complex datasets into actionable insights, demonstrating my ability to solve real-world problems and make data-driven decisions.

Education

Degrees, certifications, and relevant coursework

University of Sindh logoUS

University of Sindh

Bachelor of Science, Software Engineering

Bachelor of Science in Software Engineering, focusing on software development principles and practices. Developed skills in programming, data analysis, and machine learning, with a strong emphasis on practical applications and project-based learning.

Tech stack

Software and tools used professionally

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