Experience snapshot
Walkwater Technologies
Analytics automation & NLP
Data Analyst Intern.
Automated reporting and recruiting workflows, moving leadership from delayed manual analysis toward faster, repeatable decision support.
The context.
Problem space
Leadership reporting carried multi-day latency, while recruiting workflows required repetitive manual screening across large candidate pools.
Responsibility
Automate KPI reporting in SQL and Python, build leadership dashboards, and apply NLP to reduce manual candidate-screening work.
Outcome
Reduced reporting latency, created a consolidated view of key business metrics, and substantially shortened the screening workflow.
What I owned.
01
Automated recurring KPI reporting in SQL and Python, removing manual steps and reducing reporting latency by three days.
02
Built Looker and QlikView dashboards tracking 12 recruitment and financial KPIs for leadership.
03
Created an NLP pipeline in spaCy to structure candidate-screening work and reduce the time required to review applicants.
04
Turned recurring operational questions into repeatable analytics workflows that could be used without rebuilding the analysis from scratch.
The evidence.
3 days
reporting latency removed through SQL and Python automation
12
recruitment and financial KPIs tracked for leadership
80%
reduction in candidate-screening time from the NLP workflow
A note on confidentiality.
This experience involved internal company and recruiting data. The overview focuses on my responsibilities and résumé-level outcomes; proprietary datasets, internal dashboards, candidate information, and implementation details are intentionally omitted.
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