PRATIK DOMADIYA

Artificial Intelligence & Data Science student at Loyalist College In Toronto ON, CANADA, with a passion for data integrity, visualization, Machine Learning, and statistics. With a team-oriented attitude, I am eager to contribute to insightful, high-quality data analytics and visualizations, data modeling, and experimentation to enhance the experience of the Organization's user, business efficiency, strategic goals, and profit. Also excited to apply my passion for data science to the collaborative efforts on insightful, high-quality data analytics and visualizations.

Data Engineer (ETL Developer) (Independent Freelancer) - Upwork | The World's Work Marketplace For Freelancing                 

I used Python - Regex to transform data into the necessary form and cleaned it to make it ready for production. I worked on data extraction techniques such as web scraping using Scrapy, BS4, and Selenium using Python. Next, use Python API and database queries to load the data into a database or cloud service like MSSql, MySQL, or AWS. I've used Python to successfully finish more than 25 distinct ETL (Web Scraping) projects and delivered 100% on time.

Software Engineer (ETL Process Management & Mobile App Development) - Wholetex | Clothing Wholesaler | Surat, Gujarat, India 

I developed an automated Python script to extract data from predefined websites, clean, transform, and dump the data into a MySQL database for use in production. In addition, I created a Python script for WhatsApp Automation that automatically sends messages to consumers about new product promotions. These initiatives have reduced manual database management, allowing business owners to more readily shift their human resources to other beneficial tasks (this project has eliminated around 70% of the manual effort). Also Developed Cross Platform Mobile Application Using Flutter Framework.

Machine Learning Engineer - Research Project Intern (Deep Neural Network) - Physical Research Laboratory | A Unit of Dept. of Space, Govt. of India, Ahmadabad.                          

I created a database of satellite photos (Solar Observatory Image Dataset), cleaned it up with Python modules, used image processing on the dataset, and developed a deep learning model for solar flare prediction. In this research project, Deep Learning Towards Solar Flare Prediction - I used the ideas of Hybrid Convolution Neural Networks, Auto Encoder, Keras/Tensorflow, Automation tool Selenium Web Driver, Image Processing, Jupyter Notebook and Google Colab, Python 3, and I also learned about Real Industrial Work, Team Work, and Presentation Skills.

LOYALIST COLLEGE IN TORONTO, ON, CANADA       (2021-2023)      

Ontario College Graduate Certificate: Artificial Intelligence & Data Science.

DHARMSINH DESAI UNIVERSITY, NADIAD, GUJARAT, INDIA  (2016-2020)

(B.Tech) in Information Technology