Poojitha Thatamsetty

Background

About Poojitha Thatamsetty

Currently seeking Summer 2025 internships in the field of data.I am a young and dynamic data professional with over two years of hands-on experience in SQL, Python, Power BI, and Azure Data Factory. Currently, I am an Incoming Graduate Student in Data Science at the University of Maryland, Baltimore County, and I am actively seeking summer 2025 internships in the field of Data, looking forward to work in the following data roles namely Data Scientist, Data Engineer, Data Analyst, Business Analyst. My expertise lies in developing robust Power BI dashboards, building sophisticated machine learning models, and designing efficient ETL processes and pipelines. I thrive on learning and adapting to new challenges in the ever-evolving data landscape. Technical Skills: Languages: Python, C, SQL Frameworks: Hadoop, Spark, Kafka, Airflow, Django, TensorFlow, PySpark, Lang Chain Tools: Git, Docker, Power BI, Azure, VS Code, PyCharm, Amazon Web Services Libraries: Pandas, Numpy, Matplotlib, Spacy Concepts:Business Analysis, Statistics, Probability, Data Analysis using Python Programming,Data Mining, Data Engineering, Data Visualization, Database Management system, Time Series Forecasting, Predictive Modeling • Conducted in-depth data analysis and exploratory data analysis (EDA) using PySpark and other tools, uncovering customer behavior insights that increased retention by 15% and average order value by 22%. • Scheduled data pipelines in Azure Data Factory for ETL processes, ensuring seamless data integration and availability, reducing operational costs by 19%. • Identified and led proof-of-concept projects, leveraging advanced analytics and machine learning techniques to generate 2.5 million dollars in new revenue streams. • Served as a liaison between technical and non-technical teams, communicating complex data analysis results and recommendations, contributing to a 31% increase in overall productivity. • Collaborated with cross-functional teams to gather requirements, define data models, and ensure timely data availability, driving a 28% increase in marketing campaign ROI. Career Goals: As I progress in my academic and professional journey, my goal is to leverage my skills and knowledge to solve complex data problems and drive impactful business decisions. I am eager to work in environments that foster innovation and continuous learning, and I am particularly interested in roles that challenge me to push the boundaries of what data can achieve.