Amaan Nawab

Experienced SDE 2 Frontend professional at Sequoia with a focus on analytics projects using Apache Superset. Lead the frontend project to build People analytics , a platform for VC backed companies to view real time analytics by building features on top of Apache superset to deliver clients the necessary features

• Did performance enhancement in Dashboards leading to an 90% drop in loading time where the dashboards loading time was reduced from 35 seconds to just 4 seconds
• Resolved & implemented sorting feature which is broken on open source superset
• Implemented dynamic query execution on superset allowing users to view multiple metrics in a single chart
• . Led effort on developing several new features such as Forecasting , Marker point annotations , Alerts & Reports & also collaborated with other team members for better understanding of apache superset

Tech Stack.: Apache superset , Reactjs , Typescript , Webpack , Python Flask , Jinja Template

Nextlevel :

Tech Stack : Nextjs , React native and react native reanimated
• Developed Nextlevel – an online platform offering resume-building services and interactive games using React Native, React Reanimated, and Redux.
• Created a website using Next.js, Zustand, and ChatGPT API to enable users to easily create and customize resumes and ease in recruiting and job finding for candidates.
• Utilized React Reanimated library to build interactive games, leveraging Redux for state management.

Community For Educator :
Tech stack : Nextjs , React native
• Worked on a project at Unacademy to create a 'Community for Educators' to replace Intercom as a communication channel.
• Developed a front-end module on the Unacademy Admin Website to broadcast messages to Educators and a feature on the Educator App on Mobile to receive the messages.

Comments over Community :
Tech Stack : Nextjs , React native
-Developed a comments feature for an online community of educators and learners using Firebase and React Native, including database structure, REST APIs, and cloud deployment.
-Implemented Firebase Authentication, Firestore database, and Cloud Functions for real-time data synchronization.

Developed APIs in Golang for ZestMoney, a digital lending platform. Created proof-of-concept for an Account Aggregator System that uses a single ID, akin to UPI, to connect creditors to consumers. Optimized customer onboarding process, resulting in 40% decrease in user drop-off rate. Automated manual processes, increasing efficiency by 20%. Debugged and troubleshot technical issues, eliminating system glitches and boosting productivity. Improved scalability of customer repayment system, resulting in 30% increase in customer payment success rate. Leveraged predictive analytics to identify customer segments with highest credit worthiness. Enhanced user experience by developing an analytics dashboard for data-driven decision-making.

Tech Stack : Apache superset , D3.js , Nextjs , Reactjs
• Developed and maintained several web-based applications to provide advanced analytics services for teams across the organisation, utilising webpack , d3.js and apache superset
• Built customised data visualisations to enable staff to analyse and interpret data more effectively
• Optimised data performance and scalability using webpack and d3.js to ensure rapid and secure data loading and visualisation
• Consolidated data from multiple sources for analytics and data engineering teams, enabling fast and streamlined analysis
• Supported production of complex data visualisations to help teams gain deeper insights into data trends and patterns
• Collaborated with other departments to integrate data into existing systems and develop new ones
• Developed automated processes and scripts to ensure accuracy, quality and efficiency of data presentation and analysis