Developed a comprehensive trainee progress tracking tool using React JS and Spring Boot, featuring an intuitive administration dashboard for data analysis via graphs, easy data export to CSV/PDF, and efficient API utilities for seamless data flow
Developed a fraud detection web application using Natural Language Processing and AWS ECS Fargate, enhancing bank fraud identification
Implemented Docker for efficient CI/CD on AWS and utilized Entity Recognition for flagging high-risk merchants.
Streamlined communication channels for increased productivity with effective collaboration tools.
Education
BSc in Software Engineering - Software Engineering
GorkCraft(Army builder) Web: React Js, Java, Spring, MySQL | Desktop: C#, Entity Framework, WPF, MySQL
PL-300: Microsoft Power BI Data Analyst
CLF-C02: AWS Certified Cloud Practitioner
SAA-C03: AWS Certified Solutions Architect
Contact Profile - Skills
Front End Technologies: JavaScript, React Js, React Native, HTML/CSS
Back End and Databases: Node.js, Spring Framework, MySQL, Flask
Data Analysis and Machine Learning: Python, Pandas, NumPy, Matplotlib, R, PowerBI
C# and related technologies: C#, .NET Framework/Core, Entity Framework, WPF, MAUI
Networking, Systems Programming, Embedded Systems: C/C++, Bash
Hobbies and Interests
Miniature Painting - using traditional oil and acrylic to highlight details of minis
Robotics - Building GPS guided robot using micro-controller, servo and design printed circuit
Competitive programming - Codeforces, leetcode and hackerrank
Projects
Dental Screening Application, React Native, Firebase, Developed a mobile application aimed at engaging rural children, integrating AI for improved dental hygiene.
Included daily quizzes with fun animations and a mascot to enhance engagement.
Collaborated with a team of four, negotiating project scope with the client.
Led efforts to support team members, ensuring inclusive progress.
Innovated AI-driven hygiene suggestions, enhancing dental care practices.
Crafted a user-friendly interface, promoting easy adoption among children.
Enabled real-time data updates through Firebase integration. Mobile Phone Market Insights: Data-Driven Strategies for Product Design Enhancement, Python, R, PowerBi, Weka, Managed the processing of a mobile phone dataset using ETL techniques, leading to the creation of a data warehouse with Python, Power BI, and Weka.
Employed unsupervised machine learning for identifying key features in flagship phones.
Translated these insights into strategies for product design enhancement.
Incorporated data visualization tools to effectively present insights and trends.
Timeline
IT Consultant
FDM Group
07.2023 - Current
BSc in Software Engineering - Software Engineering
University of Western Australia
GorkCraft(Army builder) Web: React Js, Java, Spring, MySQL | Desktop: C#, Entity Framework, WPF, MySQL