Developed and deployed ETL pipelines on Azure using Airflow, processing large datasets for downstream analysis and loading into PostgreSQL and BigQuery. Built and deployed machine learning models, applying statistical and ML techniques (regression, classification) to extract actionable insights. Developed chatbot applications using LangChain and Langgraph using the OpenAI and Gemini, demonstrating expertise in NLP and conversational AI and RAG.

Provided personalized academic support in science and mathematics to students ranging from elementary to high school. Developed customized lesson plans to strengthen understanding of core concepts and improve problem-solving skills, helping students achieve their academic goals.

Facilitated seamless class operations by managing daily sessions and moderating weekly discussions, ensuring an engaging learning environment. Provided personalized guidance to students, evaluated assessments with actionable feedback, and conducted customer journey research to enhance program outcomes.

During my virtual internship with Data Science ID/X and Rakamin Academy, I applied supervised and unsupervised learning to analyze trends in complex data sets. I created clear data visualizations, collaborated with business partners to align solutions with their goals, and extracted key insights from large data sources through advanced data manipulation.