Srujana Devulapally

Background

About Srujana Devulapally

I am a passionate and innovative entry-level Data Scientist with a strong foundation in quantitative modeling, experimentation, and data analytics. As a recent graduate, I am excited to make a meaningful contribution to the field and drive advancements in data-driven decision-making. With a collaborative and team-oriented approach, I actively seek opportunities to learn and adapt to emerging technologies and industry trends. Equipped with a Master's degree in Computer Science - Data Science and Analytics from École Pour l'Informatique et les Techniques Avancées (EPITA) in Paris, France, I have developed expertise in Python, Data mining, Machine learning, Deep learning algorithms, NLP. My experience includes developing APIs using Webmethods Designer for a Malaysian based Insurance company by collaboratively working with back-end and front-end developers. In my personal projects, I have showcased my ability to translate complex data into actionable insights. I have built predictive models, leveraging PostgreSQL database for real-time display in a web application. Additionally, I have implemented Apache Airflow for automating data ingestion and integrated the Great Expectations framework for proactively identifying and addressing data quality issues. Furthermore, I am driven to push the boundaries of music recommendation systems by integrating state-of-the-art techniques, such as collaborative filtering and content-based filtering. Through my research, I expect to address the challenges like cold-start, long-tail, and evaluation metrics, unlocking untapped potential for accuracy enhancement in existing systems. I have also contributed to projects focused on bank churn prediction, utilizing data mining techniques to extract valuable insights and drive customer retention strategies using the ML platform of Dataiku. Additionally, I have performed sentiment analysis on real-time tweets, categorizing them based on sentiment polarity. Beyond my technical skills, I am a dedicated team player and a lifelong learner. I actively seek opportunities to expand my knowledge and stay up-to-date with the latest advancements in the field. In my free time, I enjoy playing badminton and exploring the world of movies. If you are looking for a passionate and adaptable Data Scientist to join your team, let's connect and explore how we can drive innovation and deliver valuable solutions together