About

Sandip Santra is a Senior Data Scientist with over 5 years of experience in interpreting and analyzing data to drive business solutions. He possesses excellent knowledge of statistics, machine learning, deep learning, and analytics. Sandip has worked with various companies, including GAVS Technologies, where he currently serves as a Senior Data Scientist. Sandip has a proven track record of developing automating processes for applying machine learning to real-world problems, covering the complete pipeline from raw dataset to deployable machine learning models. He has also worked on sentiment analysis on Twitter streaming data using Kafka and Spark in Databricks platform, designed dashboards on Twitter data to help enhance visibility and better decision-making for businesses. Sandip has discovered different types of topics that occur in Marlabs feedback dataset and scraped unstructured text from websites while finding semantic similarity between today's text and tomorrow's text in a website, and also finding sentence-wise deltas between two text documents. At CenturyLink, Sandip worked as a Data Scientist with a US-based utility management firm, where he developed machine learning algorithms based on predictive models and statistical analyses. He developed models for Steel Corrosion (non-parametric models) and Wood Pole Decay (non-parametric model) that read in data of steel towers and wood poles and called out the structures that required maintenance. Sandip also developed the automation of ServiceNow ticketing system and predicted the assignment group and priority of the ticket created on customer request. Sandip has a Master of Computer Applications (MCA) degree from RV College of Engineering. He is proficient in various technologies, including Python, SQL, TensorFlow, Databricks, Spark, Azure, Kafka, SVM, Random Forest, Word2Vec, MySQL, AWS, BERT, Keras, Seaborn, Snowflake, RNN, GPT, Scikit, Pandas, and NoSQL. Sandip has 8.28 years of relevant experience in the field of research and data science. He is a results-driven individual who is always looking for innovative ways to solve problems.