SEERAM MOULIDHAR

Responsible for creating system models, prediction algorithms, prescriptive analytic solutions, and data mining strategies. Performed feature extraction, feature selection and application of various ML algorithms like Logistic Regression, XGBoost, KNN, Decision Tree, Support Vector Machines, CatBoost, Neural Networks to work with huge datasets. Skilled at using Big Data technologies like PySpark and SQL-based databases, Spark ML and Amazon Web Services (AWS) as well as statistical computer languages like Python and R.

Worked on and analyzed various time-series data and forecasted the upcoming records using LSTM Neural Networks and statistical models like ARIMA. Developed an application using a streamlit framework to detect the severity of covid-19 patients using blood exams. Performed data analysis on psychological patients with the help of statistical methods and also calculated association between the variables with the help of chi square test before building a model.

Predicted marks by using supervised machine learning based on the total number of study hours. Performed clustering of data sets using Unsupervised machine learning. Conducted data visualization using PowerBI for supermarket data in the USA.