Parvathy Ramakrishnan

WORK HISTORY

EDUCATION

ABOUT PARVATHY RAMAKRISHNAN

Dynamic data professional with a strong foundation in Data and Analytics and a recent specialization in Data Science from the Indian Institute of Technology (IIT), Palakkad. With over 5.5 years of hands-on experience, I have a strong proficiency in exploring, visualizing, and analyzing structured and unstructured data using statistical analysis, machine learning, and optimization methods. Having recently relocated to Germany, I am actively seeking opportunities to rebuild my career here. I am aiming for a challenging position as a Data Scientist, where I can apply my analytical skills and industry experience to drive actionable insights and contribute to organizational success. Skills Summary- Programming: Python, PyQt, PySpark, SQL, Scala, Unix, and shell scripting - Databases: PostgreSQL, Teradata, Oracle, MySQL, MongoDB - Cloud Platforms: Microsoft Azure (Azure Data Factory, Azure Machine Learning, Databricks)- ETL Tools: IBM DataStage, Wherescape Red, Informatica PowerCenter - Data Analysis & Visualization: Power BI, Plotly Express, Matplotlib, Seaborn, Pandas, Numpy - Machine Learning: Feature engineering, Transfer Learning, Supervised and Unsupervised Learning, Deep Learning and Neural Networks, Computer Vision, Pytorch, Tensorflow, Keras, Scikit-learn - Other Tools: Anaconda, VSCode, MS Office, Putty, BMCRemedy, Control M, Git, Jira, Latex Publications: • Parvathy Ramakrishnan P and Satyajit Das. “ByteZip: Efficient Lossless Compressor for Structured Byte Streams Using DNNs.” In: international joint conference on neural networks (IJCNN) 2024 • Parvathy Ramakrishnan P, Sahely Bhadra, Sudina Dinesh, and Satyajit Das. “ATHARVA- An Efficient Framework for Ocean Acoustic Data Management.” In: OCEANS 2024 (Accepted)