good to see you here :)
junior at minerva university, majoring in data science & finance, founded my at 17, took two gap years, and since then live/study/work across five countries: 
2027 2028
shipped ~5 prs/day with ai agents, cutting bug resolution time ~70%, at · quoted $421k in saas subscriptions and qualified ~$2.1m in pipeline at · saved ~240 hrs/year automating the daily standup at · shipped a real-time dashboard, cutting retrieval time by 92%, at · one of 36 universities in 's inaugural ambassador cohort · built a menu bar app that notifies and auto-launches google calendar links at · opened 204 paid internships co-founding
skills
tools
turning a food pantry's raw intake data into something staff could actually use.
built a centralized data pipeline and live dashboard for a food-pantry nonprofit, cutting data-retrieval time by 92% and surfacing insight across 8.09m lbs of food distributed.
pantryinsight.com needed a way to turn intake forms from food pantries into something usable for grant writing, program evaluation, and needs forecasting, without a data team of their own. started as a consultant through 180 degrees consulting, then stayed on as a contractor.
intake data was scattered across inconsistent report formats. producing even a basic cross-pantry summary took hours of manual cleanup every time someone needed one.
nobody on staff was non-technical-proof: the reports that existed required someone comfortable with raw exports just to answer a simple question like "how many people did we serve in march."
led 3 consultants in building an sql database to automate the cleanup across 4 recurring report types, then designed a real-time dashboard with backend api integration so non-technical staff could filter by demographics, location, and program themselves. built out to a preset, autosync monthly report and detail dashboard covering the pantry's historical data.
~15 hours/month saved on manual cleanup, retrieval time cut 92%, and the dashboard now surfaces insight across 177,497 household visits, 559,139 individuals served, and 8.09m lbs of food distributed.
extending the same pipeline to a second report type the client has asked for, and looking at whether the dashboard can support year-over-year trend views.
the hard part usually isn't the query. it's designing something a non-technical person will actually trust and keep using without a consultant standing behind them.
building the data, automation, and quoting backbone for an amer renewals team.
built the data infrastructure, automation, and quoting systems for an amer enterprise renewals team, identifying ~$3.9m in potential business and personally quoting $421k in saas subscriptions over the summer.
as an err intern on autodesk's fy26 amer named account inside sales team, worked across three fronts for a 5-person renewals team: data (dashboards and reconciliation), automation (airtable-to-salesforce workflows), and quoting (fielding inbound renewal and new-license requests).
the team had no real-time view of pipeline versus plan, was manually cross-referencing two disconnected systems to find new business, had duplicate billing going undetected across fiscal years, and spent real time hand-building salesforce opportunities and weekly forecasts.
opportunity data discovered in an internal business-planning tool was not systematically reconciled against what reps had already created in salesforce, so real qualified pipeline was being understated. creating a salesforce opportunity meant re-keying the same fields by hand every time.
built a "gap to plan" dashboard tracking new acv won, open pipeline, and enterprise business agreement (eba) progress by rep against fy26 goals ($2m new acv, $5m eba). cross-verified salesforce team and seat data against the discovery tool by parent account, surfacing previously undiscovered potential business. built a double-dipping and dunning report to catch multiple bills against the same contract per fiscal year, with a rep lookup so the right person could follow up. automated closed-won handling so an airtable automation emails the right rep and logs the record the moment a deal closes. built a prefilled airtable-to-salesforce form that creates a real opportunity, stage, forecast category, and close date included, without re-keying. built the nested-formula engine behind the team's weekly forecast, rolling up acv by stage and region for leadership.
~$3.9m in potential business identified, ~$2.1m of it turned into qualified salesforce pipeline. personally quoted $420,794 across renewals ($84,016) and new licenses ($336,778), averaging $9,351 per quote. the weekly forecast tooling was used directly by vp-level leadership.
the dashboards, automations, and reconciliation process stayed in use by the team after the internship wrapped, rather than being a one-off project.
half the job wasn't building a report, it was getting two systems that were never designed to talk to each other, salesforce and an internal planning tool, to actually agree on the same number.
what's actually on my plate, roughly as of whenever i last updated this.
working as a technical product support intern at lindy, managing ai agents for support tickets, and still running the pantryinsight data project through 180 degrees consulting. taking applications of ai this term. training for the next crossfit milestone i haven't told anyone about yet.
abstract stand-in for a real map. minerva's program moves the whole cohort city to city, one continent at a time.
people who've made the work better. placeholder cards below: swap in real notes.
these are placeholders on purpose. didn't want to put words in anyone's mouth.