Aysha Mehek

Aysha Mehek

Data Analyst | Data Scientist | MERN Stack Developer

576216, Udupi, IN.

About

Highly analytical BCA graduate and aspiring Data Analyst/Scientist with a strong foundation in Data Science, Machine Learning, and Analytics. Currently leveraging practical skills in Python, SQL, data analysis, and visualization as a Data Science Intern at MSDC, Manipal, to extract actionable insights from real-world projects. Eager to apply robust technical expertise and a passion for data-driven problem-solving to contribute to strategic decision-making in a dynamic environment.

Work

Manipal Skill Development Center (MSDC)

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Data Science Intern

Udupi, Karnataka, India

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Summary

As a Data Science Intern at Manipal Skill Development Center (MSDC), applied Python, SQL, and Machine Learning to real-world data science projects, enhancing analytical capabilities and project outcomes.

Highlights

Applied Python, SQL, and Machine Learning techniques to analyze complex datasets, developing foundational skills in data science methodologies.

Contributed to multiple real-world data science projects, translating raw data into actionable insights through rigorous analysis and reporting.

Gained hands-on proficiency in data manipulation and visualization tools, including NumPy, Pandas, Matplotlib, Power BI, and Excel, to support data-driven decision-making.

Developed and presented data visualizations and reports, effectively communicating key findings to project stakeholders.

Education

Beary's College of Education, Kodi, Kundapura

Kundapura, Karnataka, India
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Bachelor of Computer Applications (BCA) Computer Applications

Mangalore University

Mangalore, Karnataka, India
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Languages

English

Skills

Languages

Python, JavaScript, HTML, CSS.

Frameworks

React.js, Node.js, Express.js.

Libraries

Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, TanStack Query.

Databases

MongoDB, SQL.

Tools

Git, GitHub, Power BI, Microsoft Excel.

Projects

Expensify - MERN Stack Expense Tracker & Analytics Platform

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Summary

Engineered a responsive MERN Stack Expense Tracker & Analytics Platform to streamline expense management and reporting.

Customer Churn Prediction Using Machine Learning

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Summary

Developed a machine learning model for customer churn prediction to proactively identify and mitigate customer attrition risks.