About Me
Data Scientist | Machine Learning Engineer | AI Solutions Developer As a soon-to-be graduate with a Master's in Applied Data Analytics from Boston University, I bridge the gap between complex data systems and actionable business intelligence. My work focuses on developing production-ready AI solutions that solve real-world problems at scale. What I Bring to the Table: - Advanced Analytics: Expertise in building and deploying machine learning models (NLP, predictive analytics, time series forecasting) that deliver measurable business impact - Full-Stack Data Skills: From ETL pipeline development (PySpark, Airflow) to cloud deployment (AWS, GCP) and visualization (Power BI, Tableau) - Business Acumen: Proven ability to translate technical findings into strategic recommendations that drive decision-making Recent Achievements: - Optimized financial forecasting models reducing errors by 18% ($80K/semester savings) - Implemented NLP solutions improving text classification accuracy by 22% - Designed data pipelines processing 3M+ records with 30% efficiency gains I'm passionate about leveraging cutting-edge technologies to solve challenging business problems. Currently seeking full-time opportunities where I can apply my technical expertise in data science, machine learning engineering, and analytics strategy.