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.