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Sangeetha B K

@sangeethabk

I build machine learning models and Android applications that solve practical user problems.

India
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What I'm looking for

I'm looking to begin my career in a reputed organization where I can apply my knowledge and skills, learn new technologies continuously, contribute to organizational success, and build a strong professional career.

I've built an e-commerce customer churn prediction model using Python, Pandas, Scikit-learn, XGBoost, and Matplotlib to identify customers at risk of leaving and support retention strategies.

For Grama Vasathi, I developed an Android platform connecting travelers with rural homestays and farm-stay experiences. I contributed host registration, booking management, personalized recommendations, Firebase authentication, and an accessible UI/UX experience.

I've also developed a role-based Department Library Management System using HTML, CSS, PHP, and MySQL, with book registration, issue and return workflows, fine calculation, search, authentication, and real-time inventory updates.

I'm pursuing a B.E. in Computer Science and Engineering and continuously building practical skills in machine learning, web development, Android development, Python, SQL, and Java. My work on E-Commerce Customer Churn Prediction was published at IC-AISMART-2025.

Experience

Work history, roles, and key accomplishments

MT
Current

B.E. Computer Science and Engineering Student

Maharaja Institute of Technology

Jun 2022 - Present (4 years 3 months)

Pursuing a Bachelor of Engineering in Computer Science and Engineering with a CGPA of 8.7, expected to graduate in 2026. Developed projects in machine learning, Android development, and web development.

Education

Degrees, certifications, and relevant coursework

Maharaja Institute of Technology Thandavapura logoMT

Maharaja Institute of Technology Thandavapura

Bachelor of Engineering, Computer Science and Engineering

2022 -

Grade: 8.7 CGPA

Pursuing a Bachelor of Engineering in Computer Science and Engineering with a current CGPA of 8.7.

Tech stack

Software and tools used professionally

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