Amulya Reddy Datla Email & Phone Number

Hello! I am Amulya Reddy Datla, a passionate and dedicated Data Science professional with a Master's degree in Engineering Science Data Science from the State University of New York at Buffalo, where I achieved a GPA of 3.75/4. With a solid academic foundation and hands-on experience in programming, data analysis, machine learning, and software development, I am eager to contribute to the fields of data science, data engineering, or data analysis.Professional Experience:As a Software Developer intern at ValueLabs, I led innovative software development initiatives for the "Cox Automotive" project, optimizing processes and contributing to project success through strategic leadership and technical expertise. My role as a Teaching Assistant at G. Pulla Reddy Engineering College allowed me to guide peers and juniors in programming, enhancing their comprehension and providing valuable insights into placement opportunities. Additionally, my internship at Skill Vertex involved implementing a project to predict employee promotion rates using data science and Python concepts. I excel in extracting actionable insights from data, solving complex problems with creative approaches, and leveraging a strong technical foundation in data structures, databases, and programming languages. Committed to continuous learning, I stay updated on cutting-edge technologies to drive positive social impact through data science for global development.Academic Projects:My academic projects reflect my ability to apply data science and machine learning techniques to real-world problems. These include:->Medical Insurance Charges Prediction: Built a machine learning pipeline for predicting medical insurance charges, including data cleaning, normalization, PCA, and containerized deployment with Docker, and developed a user-friendly Streamlit app for interactive charge prediction.->Multi-factorial Assessment of Economic Data: Conducted a multifactorial study using statistical analysis and machine learning to assess the impact of minimum wage policies on economic indicators, employing time series analysis for long-term insights.->Akinator: Developed a web application utilizing Python and machine learning algorithms to predict a chosen character, with a user-friendly interface built using Flask API and HTML.I am actively seeking opportunities in Data Science, Data Engineering, or Data Analysis where I can apply my skills and continue to grow professionally. I am eager to connect and explore potential opportunities.