Rohit Deshmukh

Background

About Rohit Deshmukh

With more than 5 years of experience in the field of data science & analytics, specializing in statistics, machine learning, and a deep understanding of AI architecture. Utilizing Python, SQL, and Pyspark (Databricks) to extract valuable insights from complex datasets, and perform descriptive, predictive, and prescriptive analytics. Descriptive Analytics: 1) Utilized Tableau and PowerBI to showcase trends and anomalies in data. 2) Automated report generation using python libraries such as Pandas,Numpy, Seaborn & etc. Predictive Analytics: 1) Implemented advanced machine learning algorithms such as XGboost, Random Forest & Linear regression to perform predictive analytics, understanding the underlying patterns in the data and using them to forecast the future behavior. 2) Trained ensemble Neural Network models for tasks like fraud detection & risk assessment in financial data. Prescriptive analytics: 1) Developed and automated risk assessment tests using client data, identifying unusual activities and numerous suspicious transactions. 2) Utilized advanced clustering, fuzzy matching techniques to uncover conflicts of interest, preventing the misuse of client systems and improving data integrity.