About

Darshan S. is a Data Science Cybersecurity Researcher at Open Systems with over 8 years of relevant experience in the field. He specializes in building predictive models for threat identification, hunting, and intelligence using various frameworks such as Regression, Classification, Clustering, Neural Networks, and Time Series Analysis, all done in Microsoft Azure. Darshan is also involved in R&D in Cybersecurity and has worked on NLP projects on topic modeling, text classification, information retrieval, and document similarity. Darshan is a part-time Data Science trainer at Besant Technologies and has worked as an AI/ML Mentor at the company. He has also worked as a Data Science Researcher at Open Systems, where he conducted research on Cybersecurity using Graph framework methods, Neural Networks, Machine Learning, Cloud Computing, and NLP. Darshan has experience in time series modeling, user behavior analytics for Cybersecurity, and prediction of suspicious IP using deep learning. Darshan has a strong educational background, having graduated from BMS College of Engineering with a degree in Electronics and Telecommunication. He is currently pursuing a Postgraduate Degree in Cyber/Electronic Operations and Warfare from IIT, which he is expected to complete in 2022. Darshan also holds an Associate's degree in Mathematics and Computer Science from MES PU College of Arts, Commerce, and Science, and an SSLC degree in Science and Mathematics from Ashwini High School. Darshan is proficient in various languages and tools such as Python, SQL, Neo4J, DataBricks, Azure SQL, Cypher Neo4J, and web scraping with BeautifulSoup. He is also skilled in data pre-processing and visualization using Pandas, Numpy, Matplotlib, Seaborn, Plotly, and Dash. Darshan has expertise in Machine Learning and Deep Learning using Scikit-learn, Pytorch, Graph Neural Networks, and Graph Frameworks. He has worked on Natural Language Processing projects using spaCy, NLTK, TF-IDF, Word2vec, GLOVE, Doc2vec, Transformers, BERT, USE, and Topic modeling. Darshan is also skilled in optimization using Scipy and Data Engineering using Azure Synapse, Databricks, Application Insights, and Azure Data Factory. He is well-versed in MLOps using Kedro, MLFlow, and AKS and has expertise in Visualization using Plotly, Seaborn, PowerBI, and Dash.