Aisha Amirkizy

Data Science Track Scholar

Selected scholarship recipient of the Freedom Holding-sponsored Data Science track focused on business analytics and decision support. - Delivered end-to-end analytics projects covering EDA, KPI design, and dashboard reporting for business stakeholders - Built interactive dashboards in Google Looker Studio and Streamlit to translate raw data into business insights for Demo Day judges - Wrote SQL queries against relational datasets to extract trends, segment users, and validate KPI definitions - Applied data storytelling techniques to communicate analytical findings to non-technical audiences - Stack: SQL, Python, Excel, Google Looker Studio, Streamlit

AI / ML Researcher

Member of the university AI lab building applied ML/DL systems and production-style ML services. - Designed and trained machine learning and deep learning models in PyTorch and Scikit-learn for classification and NLP use cases - Built and shipped REST APIs with FastAPI to serve ML models, with Docker-based deployment for reproducibility - Completed advanced training in Deep Learning, NLP, LLMs, AI Agents, and Retrieval-Augmented Generation (RAG) systems - Owned full pipeline: data cleaning, feature engineering, EDA, model training, evaluation, and serving - Stack: Python, PyTorch, Scikit-learn, FastAPI, Docker, Git

Founder & Lead

Founded and operates a 230+ member data community supported by 20 mentors across AI, analytics, and data science. - Scaled community from zero to 230+ active members and onboarded 20 industry/academic mentors - Organized workshops, meetups, and project collaborations spanning analytics, machine learning, and AI - Coached students on technical and analytical skill development, reinforcing communication and leadership capabilities

• Scaled community from zero to 230+ active members
• Onboarded 20 industry/academic mentors