Reshma Manjunatha Rao

1) Extracted, cleaned, and analyzed 5k+ high-resolution spectroscopic data to determine modeling parameters using Python and FORTRAN-based codes. 2) Applied statistical modeling to reduce system uncertainty by 5% and improved anomaly detection. 3) Continuing project work remotely (Jul 2025 – present), focusing on numerical simulations and collaborating in an international environment, focusing on model development.

1) Built interactive Excel and Tableau dashboards to visualize downtime and operational inefficiencies. 2) Applied SQL to classify datasets and highlight anomalies, simulating operational risk assessment. 3) Gained exposure to consulting workflows and client-oriented reporting.

1) Modeled physical parameters of 30+ systems using statistical analysis and FORTRAN-based codes. 2) Assisted in the analysis of >100k simulation outputs, detecting rare anomalies in noisy datasets. 3) Conducted quantitative spectral data analysis, reducing model-data mismatch by 20%. 4) Developed experience in extracting trends from complex numerical datasets. 5) Presented results in seminars, translating complex data into clear insights for non-technical audiences.

1) Conducted market research to identify trends in corporate training and align offerings with industry demand. 2) Collected and analyzed client data from 50+ companies, producing actionable insights for decision- making. 3) Designed and implemented KPI tracking and Excel-based reporting to evaluate sales performance. 4) Presented recommendations to non-technical stakeholders, increasing lead-to-client conversion by 15%.

Master’s thesis: Focus on numerical modeling and large-scale data analysis (Grade: 1.3)