Data Manager

Rachelle

Holmgren

***

N.

Claremont

Boulevard,

Box

593,

Claremont,

CA,

***** ***********@***.***

•

***- ***- ****

EDUCATION

Claremont

McKenna

College,

Claremont,

CA May

**** ********

of

Arts,

Computer

Science

Major

at

Harvey

Mudd

College

• In- major

GPA:

3.6

/

4.0

• Relevant

Coursework:

Artificial

Intelligence,

Data

Mining,

Software

Development,

Data

Structures, Algorithms,

Discrete

Mathematics,

Databases

(Spring

‘16),

Programming

Languages

(Spring

‘16) EXPERIENCE

Laserfiche

–

HMC

Clinic September

2015

–

Present Developer

(Fall

Semester),

Project

Manager

(Spring

Semester)

• Building

a

system

to

put

Laserfiche’s

customers’

business

processes

data

into

Amazon

Kinesis

for

real- time data

streaming,

then

into

Amazon

Redshift

for

data

warehousing,

and

finally

into

R

for

analysis

• Developing

trend- analysis

algorithms

to

notify

managers

in

real- time

of

deviations

in

their

business processes

Atlassian

Software

Engineering

Intern June

–

August

2015

• Built

a

personalized

recommendation

engine

for

users

browsing

Atlassian’s

marketplace

• Analyzed

sales

and

customer

data

in

R

to

determine

which

factors

are

related

to

what

add- ons

a

customer will

buy

• Used

base

products

owned,

other

add- ons

owned,

and

categories

they

fall

under

to

generate

personalized recommendations

with

the

use

of

Alternating

Least

Squares

Matrix

Factorization

in

predictionIO

• Used

Optimizely

to

AB

test

the

effect

of

personalized

recommendations

on

the

marketplace

homepage Dead

Battery

Notifier August

2015

• Purpose:

Eliminate

the

need

to

text

family

and

friends

when

phone’s

battery

is

about

to

die

• Built

an

Android

application

that

automatically

sends

messages

to

specified

numbers

immediately

before phone

turns

off

Blog

Popularity

Predictor October

–

December

2014

• Purpose:

predict

how

aggressively

people

respond

to

certain

news

articles

• Wrote

a

script

in

R

to

crawl

1,600

articles

from

http://www.theguardian.com/uk

• Extracted

information

such

as

the

average

number

of

comments

the

author

receives,

word

counts

of

“liberal”,

“conservative”,

“war”,

“peace”,

“protests”,

“deaths”,

“tax”,

etc

• Experimented

with

linear

regression,

nearest

neighbor

regression,

support

vector

regression,

and

multilayer perceptron

models

on

the

training

data

• Used

the

most

accurate

model

to

predict

the

number

of

comments

each

blog

in

the

test

dataset

receives LEADERSHIP

EXPERIENCE

Claremont- Mudd- Scripps

Swim

Team October

2012-

February

2014

• Participated

and

specialized

in

100,

200,

500

Freestyle

• Southern

California

Intercollegiate

Athletic

Conference

All- Academic

Team INTERESTS

AND

SKILLS

• Skills:

C++,

Java,

Python,

R

• Interests:

Data

Mining,

Android

App

Development,

Swimming,

Running,

Playing

Violin,

Painting

• Languages:

English,

Chinese

(conversational)

Contact this candidate