Darshana Anandi

Invested this time in upskilling myself through AI, Quantitative Finance Certifications

Optimizing low-latency, high-volume systems by integrating KDB+/Q and Python to boost productivity and revenue. Collaborating with cross-functional teams to gather requirements and deliver complete solutions using KDB/Q and PyKx. Developing an automated testing framework, documenting it, participating in code reviews, and providing guidance and feedback.

Driving efficiency and innovation, I established coding standards and optimized report/feed generation, cutting turnaround time by 15 hours weekly. Collaborated with stakeholders to translate needs into KDB/Q and Python solutions for 140+ reports. Spearheaded an automated testing framework for 3 modules, automating 50+ daily test cases. Leading Python-based API (Datazone) development, I enhanced data access for 20+ non-KDB users. Documented innovations, review code, and mentor junior team members.

Automated manual processes, boosting system performance by 90% with innovative coding and tool integration. Led SVN to GIT migration, improving workflows and collaboration. Streamlined code build and deployment automation, reducing time-to-market. Implemented cloud solutions, migrating apps to AWS EC2 and automating deployments for efficiency. Developed an automated database backup on AWS S3, enhancing data security and reliability.