Binish Rizvi
@binishrizvi
Software Engineer AVP at Wells Fargo India
Hyderabad, India
Motivated and results-driven software developer with 2 and a half years of experience in designing, developing, and optimising large-scale applications and data warehousing solutions. Proficient in backend development and ETL processing using PL/SQL, Python, and Spark. Experienced in building scalable ETL pipelines, data API integration, and data warehousing solutions with Snowflake and Star schemas. Skilled in enhancing operational efficiency through shell scripting and CI/CD pipelines with Liquibase, UCD and Jenkins.
Experience
Software Engineer AVP
Wells Fargo India
Program Associate
Wells Fargo India
Developed an advanced deep learning model for Bone Age assessment using left-hand X-rays, utilising depth-wise separable convolutions and Swish activation function, which improved model accuracy by 11% over traditional CNN approaches. Co-authored, presented, and published a paper at an IEEE international conference. Developed an emotion-based music recommender using CNNs, Haarcascades, and K-Means clustering, achieving 86.9% training accuracy with TensorFlow and Pandas. Designed and developed a secure, web-based Hospital Database Management System using JavaScript and a relational database (MySQL), improving data management efficiency and operational workflows in healthcare environments.
Education
Dayananda Sagar University
Bachelor of Technology
Computer Science Engineering
Licenses & Certifications
Microsoft Azure AZ-900
Microsoft