Sania Khan
@saniakhan2
Computer Science graduate focused on data science, machine learning, and full‑stack web development.
What I'm looking for
I am a Computer Science graduate with hands-on experience in data analysis, software development, and academic research. I build predictive models and web/mobile applications using Python, ReactJS, Flask, PostgreSQL, and machine learning libraries.
During a Data Science internship I developed sales and Parkinson's disease prediction models, applying data cleaning, EDA, visualization, and model evaluation with Pandas, Matplotlib, and Scikit-learn. I also developed a ReactJS/Flask web app (MedCare) and an accessible Android app (SpecialMinds) for visually impaired students.
I am driven to apply technical skills to real-world challenges, contribute to data-driven solutions, and continue growing through collaborative projects and further learning.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Acmegrade
Jun 2024 - Jul 2024 (1 month)
Developed and tested a sales prediction regression model and a Parkinson's disease classification model; performed data cleaning, EDA, visualization, and model evaluation to extract actionable insights.
Education
Degrees, certifications, and relevant coursework
Royal College (University of Mumbai)
Bachelor of Science, Computer Science
2022 - 2025
Grade: 9.10 SGPI
Activities and societies: Data Science Intern at Acmegrade; projects include MedCare web app and SpecialMinds Android app; publications and poster presentations; TEFL certification.
Bachelor's in Computer Science with strong coursework and projects in data science, web and mobile development, and machine learning; graduated with SGPI 9.10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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