Ashwini A R

Program Development | Program Management | Vendor Management Develop an impressive and relevant Programme design document's for Higher/ Executive education training. Understand the market demands through primary and secondary research to assess employability gaps that exist in the market especially in the area of Fintech, Finance, Leadership etc., and recommend new programs and curriculum to bridge the gaps.

● It’s an integral part of the Ratings and Research in the field of higher education and school domain providing and coordinating for comprehensive data and process support. ● The process will be on sourcing, extracting, validating, and updating data and other information. ● Creation of new products methodologies and solutions, leveraging and, where needed, adapting existing methods and procedures. ● Gather data from various sources and update relevant tools, templates, internal databases, files and spreadsheets after the evaluation process. ● Assessing client requirements and ensuring adherence of defined processes for solution delivery. ● Specifying quality requirements for internal reviews and acceptance while investigating and setting standards for high quality deliverables. ● Writing technical reports, market intelligence reports, clients’ charters and other research articles for online media, publications, and other forums. ● Providing advice and guidance to teams on data evaluation and gathering of information to support the process of evaluation.

Research Analyst

Working with emerging technologies like Cloud Technology, information security, Data Science & Artificial intelligence as curriculum designer (Course matrix )& Academic Excellence, Content Curation, Monthly Data Analysis. Faculty Feedback Analysis, Faculty Mapping, Internal Department Co-ordination.

Working as a computer science faculty for the undergraduate level including guidance for projects, mini-projects and seminars undertaken by the students during their courses of training. Supervised the functions, improvements, and modernization of the Computer Science lab.

Dissertation | Intelligent ML System for Algorithmic Trading Designed an automated algorithmic trading system using machine learning models (Random Forest, XGBoost, and LSTM) to predict stock price movements. Developed a decision engine for Buy/Sell/Hold actions with backtesting and simulated trading for performance evaluation. Integrated risk management strategies such as stop-loss to enhance trading reliability and financial returns.