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Management Assistant

Location:
San Diego, CA
Posted:
October 06, 2013

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Resume:

W I L L I A M

J .

H E N R Y

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

San

Diego,

CA

92108

(619)

822-

5856

INTERESTS

My

primary

career

interest

is

in

applying

predictive

analytics

and

machine

learning

to

solve

a

wide

rage

of

real

world

problems.

PROFESSIONAL

EXPERIENCE

EarthRisk

Technologies

Inc.,

San

Diego,

CA

October

2011

Present

EarthRisk

is

a

software

weather

analytics

startup

company

that

analyzes

weather

risk

at

longer

lead

times

than

numerical

guidance

models

can

provide.

The

web

platform,

developed

in-

house,

utilizes

historical

data,

machine

learning,

and

predictive

analytics

to

objectively

project

a

full-

distribution

of

temperature

probabilities

up

to

40

days

in

advance.

Analytics

Team

Lead

As

analytics

team

lead

at

EarthRisk

Technologies,

I

am

responsible

for

research

and

development

of

the

mathematical

models

and

algorithms

driving

EarthRisk’s

flagship

product,

TempRisk.

I

manage

resources,

priorities,

and

deadlines

within

the

research

cycle.

I

also

interact

with

the

other

internal

teams

and

provide

guidance

on

next

generation

research.

A

summary

my

responsibilities

can

read

as

follows:

§ Statistical

Model

Development:

Including,

but

not

limited

to,

Neural

Networks,

Mixed

Density

Networks,

Evolutionary

Algorithms,

Naïve

Bayes,

Logistic

Regression,

and

Linear

Regression.

§ Data

Exploration

and

Analysis:

Including,

but

not

limited

to,

Monte

Carlo

Simulations,

Bootstrapping,

Student

T

Tests,

Cluster

Analysis,

and

Principal

Component

Analysis.

§ Research

Cycle

Management:

Structured

and

organized

the

timeline

of

the

research

cycle.

Worked

with

the

team

to

efficiently

plan

out

resource

allocation,

milestones,

and

deadlines.

§ Research

Reports

and

Presentations:

Generated

model

skill

reports

and

technical

content

for

white

papers.

Prepared

and

performed

presentations

at

research

partner

workshops.

§ Product

Quality

Assurance:

Verified

data

and

algorithms.

Tested

and

logged

product

bugs.

EDUCATION

M.S.

Applied

Mathematics

Fall

2012

San

Diego

State

University,

San

Diego,

CA

Cumulative

GPA

of

3.97/4.0

B.A.

in

Exercise

Science

and

Physiology

July

2007

Point

Loma

Nazarene

University,

San

Diego,

CA

Cumulative

GPA

of

3.94/4.0,

Summa

Cum

Laude

PROFESSIONAL

SKILLS

Math:

(not

limited

too)

Machine

Learning,

Statistical

Models,

Non-

Linear

Optimization,

Neural

Networks,

PCA,

Genetic

Algorithms,

Bayesian

Model

Averaging,

and

Bootstrapping.

Programming:

• Advanced:

MATLAB

• Intermediate/Beginning:

MySQL,

R,

Java,

C/C++.

Software:

Microsoft

Office,

Weka,

MATLAB,

R.

Management:

Research

Cycle

Assistant

Management,

Analytics

Resource

Management,

Scrum

Experience.



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