NIRAV DEDHIYA

Tempe, AZ adofqf@r.postjobfree.com 480-***-**** LinkedIn Portfolio

Education

Arizona State University, Tempe (Aug 2021 - Aug 2023) Masters of Science in Computer Science

Courses- Foundation of Algorithms, Distributed Database Systems, Statistical Machine Learning Gujarat Technological University (Aug 2016 - Aug 2020) Bachelors of Engineering in Computer Engineering CGPA: - 9.31/10 Skills

Languages: - Python3, Java, C++, C#, SQL

Technical: - Web Designing and Development, Full Stack Development, Mobile Development (Android), Console Applications, Data Visualization, Machine Learning

Web Development: - JavaScript, jQuery, Django, Django REST Framework, Flask, Node.js, React.js, Drupal9, Express, HTML5, CSS Mobile Development: - Android Studio, Firebase, XML Libraries/Tools: - TensorFlow, Scikit-learn, Pandas, Numpy, NLTK, OpenCV, Librosa, Selenium, Matplotlib, Pyplot, Plotly, Chart.js, Tableau Version Control Systems: - Git (GitHub, GitLab)

Database/ORM: - MySQL, Mongo dB, Postgres, SQLAlchemy Operating Systems: - Windows, Linux

Professional Experience

Pikkal and Co. (Asia Tech Podcast Pte. Ltd., Singapore)- Machine Learning Engineer intern (July 2020 - Nov 2020)

Developed a Machine Learning model to extract text from Podcasts (test accuracy 94%), Named Entity Recognition model (accuracy 89%) using NLTK to identify guests/hosts from podcast, an autonomous topic generation and recommendation NLP model for tagging podcasts with relevant topics and recommending trending topics to clients.

Devised a Flask based website to deploy various frontend visualizations using Plotly and chart.js to compare podcasts on basis of ranks, sentiments, topics covered so clients can draw insights.

Ran complex SQL queries, managed a Django-based website and executed CRUD operations using Django REST Framework. Worked on Django superuser, migrations, models, Django templates. The Sparks Foundation, Singapore- Software Development intern (Mar 2019 - May 2019)

Worked on a Django based website to build a credit management platform for employees of company.

Performed CRUD operations using Django REST Framework and utilized Mongo dB for data management, React.js for front end. The Climber- Artificial Intelligence Engineer intern (Aug 2018 - Sept 2018)

Devised a Liveness Detection Software leveraging concept of OpenCV and Image Processing to check if input is real or fake.

The project determines if person’s face in the CCTV camera is real or it is a photocopy. This project was used to enhance authenticity and security.

Projects

Morpher Let’s Translate [Git] (Dec 2020)

A Console software constructed using Python and tkinter, used to translate phrases from one language to another and announces it in target language to know pronunciation.

The Software can also convert currency values from one to another (like USD to CAD, AUD to INR, etc.). Music Genre Classification System [Git] (Sep 2019 - Apr 2020)

Developed a Django based website that can predict genre for an input audio. The ML model is linked to website that is trained on the GTZAN dataset.

Used Librosa python library to extract metadata (MFCC, byte count, tempo, etc.) and various classification algorithms like KNN, SVM, random forest and Deep Neural Networks to classify the Genre. This can be used in open-source platforms like Soundcloud and Spotify. Tracking of Spurious Drugs (Feb 2019 – Mar 2019)

Smart India Hackathon 2019 finals project. Developed a Django website for tracking and identifying spurious drugs for Emcure Pharma.

Concept of QR code is used to identify originality of drug. End-user scans the QR code through an Android app that is linked to Django- based website. User gets notified if the drug is original or spurious. Building Management Application [Git] (Aug 2018 – Sep 2018)

Devised an Android Application using Java and firebase to Manage the apartment/building/society using a single platform.

Residents can convey their issues to secretary directly through the app, and get instant notification about the corresponding solution.

Similarly, secretary can address general discussions (about rules, events and problems) at one go through the app. Publications

Music Information Retrieval and Genre Classification using Machine Learning Techniques and Deep Learning in International Research Journal of Engineering and Technology Vol 07-Issue 07, July 2020, page: 1025-1032 Achievements/Certifications

1. Received Devang Mehta IT Award for being the Computer Department topper during Bachelor’s. 2. Finalist of Smart India Hackathon (National Level Event), 2019 – created software for tracking spurious drugs for Emcure Pharma. 3. Runner-up in state level Android Development Competition at Brizingr 2018 (Gujarat, India). 4. Full Stack Development with React Specialization by Hong Kong University of Science and Technology.

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