Malvik Patel

Toronto, Ontario, Canada

+1-807-***-**** adg1cw@r.postjobfree.com https://www.linkedin.com/in/malvik04/ TECHNICAL SKILLS

• Languages: Java, Python, PHP, XML, Kotlin, C/C++.

• IDE: Android Studio, PyCharm, NetBeans, Eclipse, IntelliJ, GIT.

• Database Systems: MySQL, SQL, Android SQLite, Firebase Database, JDBC/ODBC.

• API’s/Library/Services: Retrofit, okhttp, JSON, Firebase, Bootstrap, RESTful.

• Development Methodology: Agile, Scrum.

WORK EXPERIENCE

• Android Developer (Internship), Kuntec Online Services Pvt. Ltd. Oct 2017 o Participated in SDLC for analysis, development, testing, deployment and enhancement of the code. o Tested the application on multiple android targets and debugged the issues that were found. o Developed UI layers for activities, fragments and used multi-threading to implement parallel processing. o Implement a Broadcast receiver framework, register receiver to receive Screen ON/OFF broadcast event. o Used Picasso and Retrofit to fetch images and data from the Web-Services. o Integrate projects with Parse API, Geocoding API and Google Maps API. ACADEMIC PROJECTS

• Highway Levy:

o An Android and Web application for the user, to apply CRUD functionality for tickets. o Integrated InstaMojo as a payment gateway and OpenALPR for license plate detection. o Raspberry Pi and Sensors were used for the client-side, with Python as backend. o Implemented Restful APIs like Retrofit to interact MySQL by JSON and OkHttp, using PHP as backend. o Highway Levy was shortlisted among the top 100 out of 1000+ innovations, Indian Innovation Initiative.

• Track Bus:

o An android application to get real-time information on BRTS buses using Google Play Services. o Users can check the crowd in the buses and track the buses using JSON and geo-mapping. o With the help of Firebase authentication, users can securely log in to the app. o Used IR sensors and Arduino for crowd calculation to make lightweight hardware integration. o The system was developed in Smart India Hackathon 2018 - Hardware Edition.

• Automatic Test Grader:

o A Python Application to grade an essay, using 12,978 handwritten essays from the Kaggle dataset. o Implemented the Supervised Regression model and achieved a 73% Quadratic Weighted Kappa (QWK). o 22 features where Grammar-based, Semantic and Statistical based features were extracted. o Upgraded skills Python, NumPy, Panda, Scikit-Learn, Matplotlib, Jupyter notebook. o Used seaborn for data visualizations and plotly for interactive visualizations. EDUCATION

• Lakehead University, Thunder Bay, Ontario, Canada May 2020 o Master of Science, Computer Science.

• Gujarat Technological University, Vadodara, Gujarat, India May 2018 o Bachelor of Engineering, Computer Engineering.

• Certifications: ‘The Complete Android Kotlin Developer Course’(Udemy),‘Hands-on Background Services in Android’(Udemy), ‘The Complete Android N Developer’(Udemy), ‘Data Analysis with Python’(IBM). PUBLICATIONS

• “IOT Based Toll Collecting System Using Image Processing”, International Journal Of Computer Engineering & Technology (IJCET), Volume 9, Issue 3.

• “A Comparative Study of Toll Collection Systems in India”, International Journal Of Engineering Research And Development, Volume 13, Issue 11.