SAKSHI SINGH

Data connection using OPC UA library in python for getting the real time data. Creating paper software for the UI. Data modeling. Making necessary APIs for data analytics and visualisations. Anomaly detection on the parameters and used descriptive statistical measures such as mean and std dev for calculating the anomalies. Based on the anomalies detected running set of correlated variables to find the RCA. Setting up Aws server for deploying the project. Regression approach to calculate and predict meld score in Liver disease patients. Pattern identification of heart rate , spo2 and other measures and clustering based on the patterns. Time series clustering using SOM and K means. To predict SOC of the vehicle based on the data received from the OBD devices in EV vehicles such as distance , duration , voltage , temperature , current etc. Time series analysis using VAR and facebook prophet. Key responsibilities include developing reports and dashboards using SQL queries, performing EDA, and identifying patterns. Also handled Telecom Churn Prediction using Logistic Regression, Decision Tree Classifier, Random Forest Classifier, and XGBoost Classifier. Debugging and analyzing issues faced by clients on deployed production systems.

Focused on Telecom Churn Prediction, involving determining client health using Predictive Modeling. Responsibilities included extracting, manipulating, analyzing, and interpreting data to derive key observations and actionable recommendations. Utilized models such as Logistic Regression, Decision Tree Classifier, Random Forest Classifier, and XGBoost Classifier. Key responsibilities also included debugging and verifying issues faced by clients on deployed production systems within given SLA.