Parimi Mastan Rao
AI Data Analyst | AI Business Analyst | GenAI Analyst · Narasaraopeta, Andhra Pradesh, India
As a highly logical and pragmatic professional, I bring a concentrated and diligent approach to coordinating complex academic processes. My ambition drives me to apply insightful data analysis and critical thinking, ensuring efficient and effective outcomes in my role.
Experience
Faculty and Examination Coordinator
Amrita AHEAD Online · Nov 2021 – Jun 2025
- ● Analyzed student performance, examination, and academic datasets to identify trends and provide actionable insights for academic decision-making.
- ● Collected, cleaned, validated, and maintained large-scale academic data from multiple sources, ensuring data accuracy and consistency.
- ● Developed and generated MIS reports, performance dashboards, and data visualizations to track key academic metrics and examination outcomes.
- ● Monitored and analyzed KPIs including student attendance, pass percentages, assessment results, and program performance.
- ● Performed data analysis to evaluate examination effectiveness, student engagement, and academic performance trends.
- ● Collaborated with faculty, academic departments, and technical teams to streamline examination processes and improve operational efficiency.
- ● Conducted data quality checks and validation procedures to maintain the integrity of examination and student records.
- ● Prepared periodic analytical reports and presented findings to stakeholders to support strategic planning and continuous improvement initiatives.
- ● Identified process bottlenecks and recommended data-driven solutions that improved examination operations and reporting accuracy.
- ● Utilized statistical concepts and analytical techniques to support academic assessments and institutional performance reviews.
- ● Designed and delivered courses in Business Analytics, Business Statistics, Information Systems, and Management Information Systems.
- ● Mentored students on academic projects involving data analysis, business intelligence, and analytical problem-solving methodologies.
Research Associate
Amrita Vishwa Vidyapeetham · Sep 2019 – Oct 2021
- ● Collected, cleaned, integrated, and analyzed large-scale software vulnerability datasets from multiple sources to identify security risks and vulnerability patterns.
- ● Performed exploratory data analysis (EDA), data preprocessing, and feature engineering to uncover key factors influencing software vulnerability classification.
- ● Applied statistical analysis and data mining techniques to extract actionable insights and support data-driven decision-making.
- ● Developed and evaluated machine learning models for automated classification and prioritization of software vulnerabilities, improving assessment efficiency.
- ● Processed and analyzed structured and unstructured datasets, including CSR reports and sustainability disclosures, using NLP and text analytics techniques.
- ● Generated analytical reports, visualizations, and presentations to communicate findings and recommendations to academic and industry stakeholders.
- ● Collaborated with cross-functional research teams to define project objectives, validate analytical results, and deliver data-driven solutions.
- ● Published 7 peer-reviewed research papers in machine learning, cybersecurity, data analytics, and information extraction.
- ● Worked on a software vulnerability management project and a corporate social responsibility project.
- ● Analyzed software vulnerability data and built models for software vulnerability classification.
- Built machine learning models to extract information from CSR reports.
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Education
Master of Science (MS), Business Analytics and Systems
University at Buffalo School of Management, The State University of New York · 2016 — 2018
Master of Business Administration (M.B.A.), Marketing
Amrita School of Business, Bangalore · 2015 — 2017
SSC, High School/Secondary Diplomas and Certificates
St. Joseph's High School · 1995 — 2009
B.Tech, Electronics & Communication and Humanities & Sciences
Vignan’s University (VFSTR) · 2011 — 2015
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