Sandhya Mane
@sandhyamane
Computer Science and Engineering graduate building machine learning systems and Android apps with clean, data-driven engineering.
What I'm looking for
I’m a Computer Science and Engineering student who enjoys turning data into working solutions. I’ve built end-to-end projects in machine learning—focused on strong preprocessing, feature engineering, and model evaluation.
In my projects, I designed a phishing website detection system using Python and machine learning, using URL and domain-based features. I improved accuracy through data preprocessing and feature engineering, and validated performance with precision and recall on unseen data.
I also developed a breast cancer predictor using machine learning and patient medical data. I performed data cleaning, normalization, feature selection, trained multiple classifiers, and delivered a user-friendly interface for real-time prediction.
Beyond ML, I built an Android-based Women Safety App using Java and the Google Maps API, with shake-triggered SOS alerts and real-time location sharing. I completed a 4-week Industrial Training Program in Machine Learning and Artificial Intelligence, led teams in academic projects, and continue to build with leadership, teamwork, and problem-solving mindset.
Experience
Work history, roles, and key accomplishments
Industrial ML & AI Training
Rudra Infotech Industrial Training Institute
Completed a 4-week industrial training program in Machine Learning and Artificial Intelligence.
Industrial Training - ML & AI
Rudra Infotech Industrial Training Institute
Completed a 4-week industrial training program in Machine Learning and Artificial Intelligence at Rudra Infotech Industrial Training Institute.
Education
Degrees, certifications, and relevant coursework
Walchand College of Engineering, Sangli
Bachelor of Technology (B.Tech), Computer Science and Engineering
2024 - 2027
Grade: 8.31 CGPA
Activities and societies: Projects: Phishing Website Detection (URL/domain ML features; preprocessing; precision/recall evaluation); Breast Cancer Predictor (cleaning/normalization, feature selection; model comparison); Women Safety App (Android, shake-triggered SOS, real-time location sharing via Google Maps API).
Pursuing B.Tech in Computer Science and Engineering at Walchand College of Engineering, Sangli. Built machine learning and Android projects including phishing website detection, breast cancer prediction, and a women safety SOS app.
Government Polytechnic, Kolhapur
Diploma, Information Technology
2021 - 2024
Grade: 94.94%
Completed a Diploma in Information Technology at Government Polytechnic, Kolhapur. Scored 94.94%.
Government Polytechnic, Kolhapur
Diploma in Information Technology, Information Technology
2021 - 2024
Grade: 94.94%
Activities and societies: Achievements: 4-week ML/AI industrial training at Rudra Infotech Industrial Training Institute; HackerRank SQL (Basic) certificate; 40-hour national hackathon (GDG, Sanjay Ghodawat University); Runner-up in Python competition (Python Warriors); Project Leader for final diploma project; Head of Code-Ranger (C/C++ event).
Completed a Diploma in Information Technology at Government Polytechnic, Kolhapur. Earned certifications and participated in hackathons and competitions during this period.
Availability
Location
Authorized to work in
Job categories
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