Prabhanjan Savanur
Associate Backend Developer
Summary
Backend development professional prepared to bring valuable experience and impact to role. Known for delivering efficient server-side solutions and optimizing performance. Focuses on team collaboration and achieving results, adaptable to changing needs. Well-versed in database management and API integration with reliable and flexible approach.
Overview
2
2
years of professional experience
6
6
years of post-secondary education
4
4
Certifications
6
6
Languages
Work History
Associate Backend Developer
Vizsoft Global LLP
04.2023 - Current
Specializing in building and integrating backend logic using Google FlutterFlow, a no-code platform for rapid application development.
Intern
Aqmenz Automation Pvt. Ltd
10.2023 - 11.2023
- Developed a machine learning model utilizing supervised learning algorithms to predict the likelihood of brain strokes based on patient data such as demographics, medical history, and lifestyle factors.
- Collected and pre-processed extensive datasets, performed feature engineering, and trained the model to achieve high accuracy and reliability.
- Implemented the model using Python libraries such as scikit-learn and TensorFlow.
- Successfully deployed the model into a production environment, enabling real-time prediction and early detection of potential strokes.
Education
BE - Information Science
BMS Institute of Technology and Management
01.2022 - 01.2024
Diploma - Computer Science Engineering
JSS K H Kabbur Institute of Engineering
01.2018 - 01.2021
High School - undefined
K E Board's English Medium School
01.2017 - 01.2018
Skills
Python programming
Java programming
HTML
CSS
MySQL
Data Structures and algorithms
Computer Networks
DBMS
Adaptability and Flexibility
Problem Solving
Creativity
Communication Skills
Team Work
Certification
MongoDB, Infosys Springboard
Projects
CHARITY MANAGEMENT SYSTEM
Project Outcome:
SOCIAL SPAM GUARDIAN USING MACHINE LEARNING
Project Outcome:
This project is about designing an on-line donation management system to enable every person/household to donate anything easily. It uses HTML, CSS, Java Script, MySQL.
Project Outcome:
- Customer registration and authentication (login/logout)
- Order and purchase history access
- Profile management and updates
SOCIAL SPAM GUARDIAN USING MACHINE LEARNING
The main aim of this project is to predict whether a tweet is spam or real using machine learning techniques, NLP techniques and machine learning algorithms like Logistic Regression, Naïve Bayes and XGB Classifier with good accuracy based on tweet entered by the user in the front end.
Project Outcome:
- Enhanced Spam Detection Accuracy
- Real-time Detection Capability
- Reduced Spam Exposure
- Scalable and Adaptive Solution
Timeline
Intern
Aqmenz Automation Pvt. Ltd
10.2023 - 11.2023
Associate Backend Developer
Vizsoft Global LLP
04.2023 - Current
BE - Information Science
BMS Institute of Technology and Management
01.2022 - 01.2024
Diploma - Computer Science Engineering
JSS K H Kabbur Institute of Engineering
01.2018 - 01.2021
High School - undefined
K E Board's English Medium School
01.2017 - 01.2018