• Achieved 95% accuracy in predicting trade codes for commodities by utilizing nltk and scikit-learn libraries to create a LinearSVC ML model• Engineered and developed ETL pipelines on Azure to optimize trade sanction data extraction, saving 15 hours per week• Migrated and manipulated multiple COVID 19 dataset visualizations from Unity to Dataprep enhancing readability, security and accessibility• Engineered Python ETL scripts for data extraction from various sources and facilitated ingestion into PostgreSQL-based data warehouse• Wrote clean and well-defined documentation for the ETL scripts as well as the ML model and performed TOI

•Automated wrangling 100gb/day of data from multiple vendors using Python by leveraging Pandas and Dask•Containerized multiple projects using docker and deployed on AWS ec2 instances, improving cost by $115/week•Architected automatic watermarking on all exports using PyPDF2 & OpenPyXL, ensuring data compliance and security•Visualized system design architectures for major software projects, facilitating stakeholder understanding and decision-making

•Designed and developed a robust ETL pipeline in Python for autonomous author profile extraction via web scraping, leveraging Selenium•Created and managed a MySQL database to store author profiles, enabling seamless real-time updates and advanced analytics•Utilized Hunter API and Diffbot to enrich missing data fields in the database, enhancing data completeness and quality•Deployed the ETL pipeline on AWS, automating the author profile extraction process, ensuring scalability, and reducing manual intervention•Developed a B2B CRUD API in Django for small and medium-sized enterprises (SMEs) to optimize client interactions and experience

•Integrated Selenium and Aylien API with Google Advanced Search, automating the retrieval of data from over 500 web sources•Transformed 10,000 article links by developing a vector-based preprocessing algorithm and converting into Bag of Words representations •Engineered a NLP algorithm that achieved 80% predictive rate in forecasting the optimal market entry point for emerging technologies •Designed an iOS application in Swift on Xcode for in-depth analysis of client acquisition, utilizing Flask and MongoDB in the backend •Created UI prototypes on Blasmiq (low Fidelity) and Adobe Xd (High Fidelity) to visualize app functionality and enhance user engagement

Member of the organising team responsible for handling the help desk, guiding various school students to their groups and managing the equipment.

Travelled to the National University of Singapore and attended several workshops on 3D modelling and printing, Internet of things, VR in google headquarters, and DNA. Received a certificate of accomplishment for DNA workshop and certificate of achievement for successful completion of science camp.

Member of the organising team, responsible for supervision and the organisation of the event and also the head of equipment handling and logistics.