Data Engineering and Analytics Specialist | Python • PySpark • SQL • GCP • Data Modeling • ETL • Statistical Modelling • Predictive Modelling • Data Pipeline • Data Visualization (Tableau, PowerBI, Looker) With over 4 years of hands-on experience as a Data Analytics Engineer at HSBC Bank, I've cultivated a strong foundation in data engineering and analytics. Armed with a Master's degree in Information Science from the University of Florida, I'm eager to leverage my expertise in Python, PySpark, SQL, GCP, and data modelling to drive impactful insights. At HSBC, I've spearheaded end-to-end projects, mastering ETL processes, data warehousing, and data pipeline architecture. My proficiency extends to scripting (Python, Bash), statistical analysis, and version control (Git), enabling me to drive business transformations through data-driven decision-making. During my academic journey, I collaborated with the Warrington College of Business as a Data Scientist, delving into survey analysis, exploratory data analysis, time-series analysis, and statistical regression models. I led predictive modeling efforts, utilizing Python to prepare, validate, and structure data storage via star schemas. The resulting insights were effectively visualized through Tableau. I'm enthusiastic about taking on new challenges in Data Analytics and Data Engineering. If you're interested in connecting to explore potential collaborations, please reach out at my email. ✉️ sudikshaacharya@ufl.edu