Sandhya B C — Digiprofile

About

Motivated MCA student at Acharya Institute of Technology, Bengaluru, with hands-on experience in Python, Java, C, JavaScript, Machine Learning, Data Analysis and Web Development. Developed academic and internship projects involving predictive modelling, regression, image processing and web-based applications. Experienced in data preprocessing, EDA, feature engineering, model evaluation and developing practical ML solutions. Strong interest in Software Development, Machine Learning, Artificial Intelligence, Data Science and Full-Stack Development.

Experience

Machine Learning Intern

Knowledge Solutions India

2024-01-01 – 2025-01-01

Completed a six-week internship focused on Machine Learning and predictive analytics. Worked through training, development, testing and maintenance phases. Developed the Admission Prediction Analysis project using multiple regression and neural-network techniques. Gained practical experience in model development, evaluation and web-based deployment.

Education

Pre-University Course (PUC)

Central Commerce College, Hassan

96%

SSLC (10th Standard)

Sagacious International School, Hassan

91%

Master of Computer Applications (MCA)

Acharya Institute of Technology, Bengaluru

AI/ML · 2025 – 2027 · 8.77

Bachelor of Computer Applications (BCA)

Vidya Soudha Academy of Management and Sciences, Hassan University of Mysore

Computer Applications · 2022 – 2025 · 9.77/10 CGPA

Pre-University Course (PUC)

Central Commerce College, Hassan

SEBA · 2020 – 2022 · 96%

SSLC (10th Standard)

Sagacious International School, Hassan

2018 – 2019 · 91%

Projects

Bone Age Assessment

Developed a system for bone image analysis and bone-age assessment.

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Sales Forecasting for Retail Stores (In Progress)

Developing a time-series forecasting system to predict future retail sales and visualize trends.

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Admission Prediction Analysis - Internship Project

Built a model to predict admission probability using student and academic data.

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Child Development Score Prediction

Developed a regression model to predict a child's development score using multiple variables.

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Certifications

Java SE 11 Developer (1Z0-819) Cert Prep

LinkedIn Learning

2026-01-01

JavaScript Essential Training

LinkedIn Learning

2026-01-01

TypeScript for JavaScript Developers

LinkedIn Learning

2026-01-01

Programming Foundations: Fundamentals

LinkedIn Learning

2026-01-01

IoT Foundations: Fundamentals

LinkedIn Learning

2026-01-01

Achievements

Merit Award - BCA

Academic

Received a Merit Award for academic excellence during the 10-Year Felicitation Ceremony.

Merit Award - PUC

Academic

Received a Merit Award for academic excellence in Pre-University Course, securing 96%.