NAZIR SANI

Championed regional IT support operations across nine operational states, directly supervising state leads to preemptively resolve hardware/software bottlenecks and maintain maximum system uptime.

Formulated and led routine 'field practical' audit visits to regional health facilities, ensuring field officers maintained strict compliance with operational protocols and reporting standards.

Oversaw the audit and verification pipeline for cash disbursements to clinic beneficiaries, securing financial integrity by validating vaccination milestones before fund releases.

Developed scripts and analytical processes to flag performance anomalies and data outliers, proactively safeguarding internal reporting accuracy and upholding Safety-by-Design principles.

Conducted complex proximity analyses, buffer operations, and road network assessments using QGIS and PostGIS to optimize health infrastructure delivery and logistics.

Utilized Python and Bash scripting to design automated data-cleaning workflows, significantly reducing manual processing time for file management and spatial data pipelines.

Engineered robust mobile survey instruments via KoboToolbox and XLSForm, implementing advanced validation logic and skip patterns to ensure high-fidelity field data intake.

Acquired deep competencies in digital forensics and online investigative strategies to protect digital platforms from emergent vulnerabilities.

Collaborated with cross-functional fellows to design regional risk-mitigation frameworks aimed at fostering safer digital communities across Africa.

Formulated curricula and instructed medical professionals making transitions into tech, training them in foundational Python coding and health-focused data structures.

Spearheaded the state-level operational launch of the 'Learn at Home' COVID-19 response initiative, directing teams to distribute vital educational assets to schools.

Managed field teams mapping local clinic and pharmacy distributions, capturing geospatial coordinates and high-quality imagery to train complex AI models.