Priyanka Singh

Research and data analyst with 4+ years of experience conducting structured, evidence-based research across ambiguous, incomplete, and multi-source datasets. Skilled in reconciling conflicting information, validating findings across primary and secondary sources, and producing audit-ready, evidence-backed documentation. Experienced in Python-based data processing, quantitative modelling (OLS regression, correlation analysis), and translating raw, unstructured data into structured, decision-ready outputs for varied stakeholders.

UGC NET qualified in Geography, with ongoing interdisciplinary Ph.D. research and a technical foundation in Electrical Engineering.

Geospatial Researcher & Guest Faculty — Geography at Prof.

Rajendra Singh

University, Prayagraj (2022-06 – 2026-08)

Independently led end-to-end research projects across multi-source, often incomplete datasets — from data acquisition and validation through analysis and final reporting — applying consistent quality-assurance and documentation standards throughout.

• Reconciled conflicting and incomplete data across primary and secondary sources (satellite imagery, field surveys, climate records) to produce validated, defensible research findings; cross-checked results against independently field-documented ground truth.
• Built a composite risk-index model (drought vulnerability, Jhansi district) via weighted multi-criteria analysis, integrating five independent data layers; maintained full documentation of assumptions and methodology for reproducibility.
• Applied Python and statistical modelling (OLS regression, Pearson correlation) to multi-year climate and agricultural datasets across Uttar Pradesh (2001–2022), identifying trends and relationships within noisy, real-world data.
• Conducted multi-temporal change-detection analysis (2010–2023) requiring interpretation of ambiguous and evolving source imagery, producing structured comparative outputs and thematic documentation.
• Maintained rigorous records and audit trails across a multi-year research programme, ensuring findings remained traceable and reproducible for external review.
• Delivered structured, evidence-based findings to varied technical and non-technical stakeholders at academic and professional forums, including an international conference (SHUATS, 2026) and an invited national seminar lecture (Prayagraj, 2026).
• Qualified UGC NET in Geography (December 2024); currently pursuing Ph.D. research applying structured spatial and quantitative analysis to river-basin decision-support problems.

Ph.D. in Geography – Prof. Rajendra Singh University, Prayagraj (2025)

M.A. in Geography – Prof. Rajendra Singh University, Prayagraj (2020 – 2022)

B.Tech in Electrical Engineering – Thapar Institute of Engineering & Technology (2013 – 2017)