- Team leadership
- Presentation skills
- Machine learning
- Jupyter Notebook
Project 1: Loan related project. From customers entered information we check the eligibility for loan disbursement. Technologies: Python, Random Forest, Django, Pandas. Project 2: Landmark Detection Landmark Detection Project is a task of detecting popular man-made Sculptures, structures and monuments within an image. Technologies: Python, Computer Vision, Deep Learning, Pandas.
Involved in the design and development of the application using Python 3. 3, HTML5, CSS3, Ajax, JSON, and JQuery that delivered and enabled subsequent company success and 24% sales growth. • Extensively utilized Django technologies, including forms, templates, and orm for communication with databases in different forms while using interceptors, validators, actions using Django 1. 7 frameworks. • Created and wrote result reports in different formats like TXT, CSV, XlS, and JSON while working on CSV files and trying to get input from the MySQL database to ease company processes and ensure continuity.
Worked on the design of Unix shell scripting as apart of the ETL process to automate the loading process. • Accurately wrote more than 100 Python and batch scripts to automate the ETL scripts runs every hour. • Developed ETL scripts in Python to get data from one database table and update the resultant to another. • Used Python and Django to interface with the jQuery UI, managing the storage and deletion of 50+ content.