Motivated and results-driven Analyst with proven track record in data analytics and process mapping. Proven ability to identify business needs and develop valuable solutions to drive accuracy and process efficiency. Drives business effectiveness through making recommendations based on data findings.
Robot Simulation
This project focuses on training an autonomous robot in a simulation environment. It involves the use of Python programming language and using deep learning libraries. For better performance and stabilized robot, Webots 3-D environment is used. Simulation based assembled (SBA) robot will be communicated using a python-based controller file in the webots simulator.
Employee Salary Prediction Model
During my subject at masters, a real-world problem from Kaggle had been assigned to us as an assignment. The main objective was to study the entire data set of the company as a data analytics consultant and to perform different tasks to do predictions upon different attributes of data set. Before performing final operation on data sets, different tasks like Pre-processing of Data, Classification technique and different methods of classifiers. The final output is the result predicted from both train and test datasets given as input to classifiers. The information from the output can be used by the company to identify the salaries of the employees whose details were not provided in other data set. Which can be helpful for the companies account department to pay the employees time to time.
Stock Prediction Model for Grocery Store
The main project objective is to create a model for Grocery retailer. This model will allow the organization to forecast the product sales accurately. At present, they are dependent on forecasting which are based on subjective methods. These subjective methods work with minimum data to back up and automation for plan execution. The model would be created with the help of machine learning techniques, ensuring the customers that they get enough of products they require.