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Math for America
...and how we automated our work
Reed Rosenbluth & Raghav Kedia
- Nonprofit organization
- Goal
- Improve mathematics and science
education in U.S. public secondary
schools by building a corps of
outstanding STEM teachers and leaders.
What is MƒA ?
Our Tasks
- Data Entry
- Data Review / Clean Up
- Statistical Analysis
Data Entry
- Aggregate data about prospect applicants
and nominees into “Recruitment Tracker”
- Mostly manual
Data Review
- Excel® formula to cross check the
application progress of each nominee
- Formula to check database for duplicate
nominees or prospect applicants
=IF(ISNA(VLOOKUP(E2,Nominations!$J$2:$AI$1000,26,FALSE)), VLOOKUP(A2,Nominations!$I$2:$AI
$1000,27,FALSE), VLOOKUP(E2,Nominations!$J$2:$AI$1000,26,FALSE))
=COUNTIF($C$2:$C$1000,C20)>1
Nominee Dashboard
Closest Match
Statistical Analysis
- How effective are MƒA’s methods of reaching out
to prospect applicants?
- Methods
- School visits
- Mass emails
- Recommendations
- Advertisements

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Mfa

  • 1. Math for America ...and how we automated our work Reed Rosenbluth & Raghav Kedia
  • 2. - Nonprofit organization - Goal - Improve mathematics and science education in U.S. public secondary schools by building a corps of outstanding STEM teachers and leaders. What is MƒA ?
  • 3. Our Tasks - Data Entry - Data Review / Clean Up - Statistical Analysis
  • 4. Data Entry - Aggregate data about prospect applicants and nominees into “Recruitment Tracker” - Mostly manual
  • 5. Data Review - Excel® formula to cross check the application progress of each nominee - Formula to check database for duplicate nominees or prospect applicants =IF(ISNA(VLOOKUP(E2,Nominations!$J$2:$AI$1000,26,FALSE)), VLOOKUP(A2,Nominations!$I$2:$AI $1000,27,FALSE), VLOOKUP(E2,Nominations!$J$2:$AI$1000,26,FALSE)) =COUNTIF($C$2:$C$1000,C20)>1
  • 8. Statistical Analysis - How effective are MƒA’s methods of reaching out to prospect applicants? - Methods - School visits - Mass emails - Recommendations - Advertisements