Mugilarasu P

Text Classification

• Implemented text classification models for Risk information categorization, resulting in a 20% improvement in accuracy.
• Collaborated with teams to gather requirements and refine model performance based on user feedback.
• Conducted thorough data analysis and preprocessed large datasets to enhance model robustness using BERT model.
• Using Machine learning models like SVM , Random forest created Theme identification for text summary and developed flask /python based UI

Sentiment Analysis

• Developed a real-time sentiment analysis tool for Risk data, enhancing Risk management.
• Integrated sentiment analysis API to automate and streamline the analysis process.
• Utilized pre-trained models and fine-tuned them for domain-specific sentiment classification.

NLG

• Using LSTM models, implemented Auto commentary generating tools for report generation packs.
• NLP based next line generator for generating commentary based datasets.
• LLMs used to generate data set with based commentary.
• Using API data from various areas of Risk each model generates it suggestions for the Risk commentary based on numbers.

DATA ANALYTICS

• Generated , Global compliance reporting using Qlik sense and mashups. Created user commentary creation.
• Developed Dashboard for CEO score card for all region based on the Issues, Risks and Controls.
• Developed Dashboard on Qliksense with external data connectivity using custom developed connectors.

• Lead a team to develop applications like , Gate Entry/ Exit , Inventory management, Fund Allocation for an oil company using Sharepoint/ .Net .
• Developed monthly and daily production output plans to deliver on customer service and financial metrics.
• Built strong relationships with customers through positive attitude and attentive response.
• Coached team members in techniques necessary to complete job tasks.

• Interacted with the client regularly on technical discussion and requirements
• Developed application based on .Net , Sharepoint, for reporting based on users electricity usage
• Lead a project to read all power box issues based on siemens data and report in web based applications
• Developed Business dashboard using qlik view and SQL.

• Lead software development initiative as subject matter expert and primary point-of-contact for project management staff.
• Reviewed project specifications and designed technology solutions that met or exceeded performance expectations.
• Analyzed data to coordinate installation of new systems or modification of existing systems.
• Developed robust, scalable, modular and API-centric infrastructures.
• Demonstrated experience and good hands-on programming experience .NET, Python and React JS.

• Revised, modularized and updated old code bases to modern development standards, reducing operating costs, and improving functionality.
• Collaborated on stages of systems development lifecycle from requirement gathering to production releases.
• Collaborated with project managers to select ambitious, but realistic coding milestones on pre-release software project development.
• Introduced automated diagnostics for sensor data collection and processing.
• Designed reusable and reliable code for use within distributed cloud environments.
• Supervised work of programmers, designers and technicians, assigned tasks and monitored performance against targets.
• Analyzed work to generate logic for new systems, procedures and tests.