Amar DS

- Develop statistical methods and machine learning models for predictive analysis for Data Driven and Digital Marketing. - Investigation of data quality issues, performance of data aggregation and interpretation of patterns using statistical techniques and visualization. - Creation, maintenance and optimization of data pipelines (ETL).

• Recommending similar tickets in software bug repositories, so that a developer might be able to resolve the new bug in short period of time. • A systematic literature review in order to evaluate the current practices employed to achieve the goal. • Evaluation of different Information Retrieval techniques and text learning approaches for finding similar tickets.

• Worked on an API to retrieve the data from Capital IQ and Data Pre-processing for Shareholder activism project. • Anomaly detection using clustering algorithms like Hierarchical clustering, DBSCAN and Local Outlier Factor in an User Mining project and Data Analysis using Qlikview. • Support for the development of an interface using SQL and Python with the aim of carrying out an fuzzy search for any information in an ERP data stock and subsequently visualizing the search results

• Maintenance of custom scripts to increase system efficiency and subsidize the human intervention time on analysis. • Testing of application for possible bottlenecks and implement the solutions to increase the application performance.

• Creation of a ’Search Bar’ to enhance search functionality and retrieval of the desired results quickly in an e-commerce project. • Implementation of performance acceptance testing, GUI testing and integration of different code snippets.

• Solved all the example problems of the entire textbook ‘Op-amps and Linear Integrated Circuits’ using Scilab. • The code written for the solved examples can be found in the following link - http://scilab.in/textbook_run/199

Machine Learning

Control Engineering, Instrumentation, Electronics and Software