This document provides a profile for Gerald Smith, including his contact information, statistical experience, work history, and education. Gerald has extensive experience in fantasy sports analytics, statistical consulting, and data analysis. He has created advanced statistics for the NHL and statistical models for player projections. Currently, he is pursuing an M.Sc in Statistics at Simon Fraser University, where he has conducted research projects predicting NHL outcomes and developing advanced statistics.

1. 828
Alama
Dr.
Coquitlam,
BC
V3K
2Z7
T
778-­‐838-­‐8763
geralds@sfu.ca
GERALD SMITH
PROFILE
•
Fantasy
Sports
Analytics
•
Created
an
advanced
NHL
Shot
Quality
Adjusted
Plus/Minus
statistic
•
Statistical
Consulting
experience
(Communicating
complex
data
analysis
to
non-­‐statisticians)
•
Computer
knowledge
of
R,
SAS,
WinBUGS/OpenBUGS,
SQL,
and
Microsoft
Ofice
•
Strong
problem
solving,
quantitative
and
analytical
skills
•
Well-­‐developed
written
and
verbal
communication
skills
STATISTICAL EXPERIENCE
FANTASY
SPORTS
(2014
-­‐
PRESENT)
•
Consulting
on
the
creation
of
databases
for
major
sports
(NBA,
MLB,
NFL,
NHL)
•
Constructing
advanced
statistics
from
play-­‐by-­‐play
data
•
Designing
statistical
models
to
create
daily
player
projections;
Using
Neural
Networks,
Cluster
ing
Algorithms
•
NBA
player
projections
match
the
performance
of
the
top
online
projection
sites
(basketball-­‐
monster.com,
numberire.com,
rotogrinders.com)
NHL
DATA
ANALYSIS
(2013
-­‐
PRESENT)
•
Processed
play-­‐by-­‐play
data
for
the
2003-­‐2013
seasons
using
the
statistical
software
R
•
Created
an
advanced
statistic;
Shot
Quality
Adjusted
Plus/Minus
•
Building
statistical
models
to
predict
game
outcomes;
using
various
machine
learning
algo-­‐
rithms
to
conduct
the
analysis
(Neural
Networks,
Naive
Bayes,
Support
Vector
Machine,
etc)
•
Goaltender
analysis:
comparison
of
goaltending
abilities
and
their
corresponding
salaries
to
determine
if
investing
in
a
forward
or
defenseman
will
give
a
higher
return
on
investment
SIMON
FRASER
UNIVERSITY
—
M.
SC
STATISTICS
(2012
-­‐
PRESENT)
•
Major
research
projects:
Predicting
NHL
game
outcomes;
Creating
Advanced
NHL
Statistic;
use
of
MCMC
to
pool
election
polls;
pharmaceutical
drug
trial
Meta-­‐Analysis
•
Familiar
with
Markov
Chain
Monte
Carlo
(MCMC)
methods,
Bayesian
Statistics,
Data
Mining,
Decision
Trees,
Neural
Networks,
Clustering,
Biometrics,
Linear
and
Non-­‐Linear
Regression,
Survival
Analysis
•
Taught
distance
education
course
Statistics
201
-­‐
Statistics
for
the
Life
Sciences
•
Presentations
on
the
topics
of
Bayesian
Methods
for
Election
Forecasting;
Bias
Correction
in-­‐
Canadian
Election
Polls;
Drug
Study
Meta-­‐Analysis
•
On
the
organizing
committee
for
the
2014
Statistical
Society
of
Canada
Student
Conference
•
Requires
an
assortment
of
skills
performed
at
a
high
level:
research,
analytical
reasoning,
writ-­‐
ten
and
verbal
communication,
computer
knowledge,
time
management,
and
teaching

2. STATISTICAL
CONSULTANT
(2011
-­‐
PRESENT)
•
Bayesian
Analysis
using
MCMC
on
large
psychology
dataset
regarding
decision
making
•
Provided
statistical
analysis
(Survival
Analysis)
for
a
paper
published
in
the
academic
journal
Proceedings
Of
The
Royal
Society
-­‐
Biological
Sciences
•
Presentation
at
the
University
of
Toronto
Statistics
Day
Conference
•
Take
part
in
client
meetings
to
understand
and
develop
the
problems
they
wanted
to
solve
•
Create
written
reports
catered
to
the
client’s
level
of
statistical
knowledge
OTHER WORK EXPERIENCE
LEAD
QUALITY
CONTROL
INSPECTOR,
TEAM
QUALITY
SERVICES
(2006
-­‐
2010)
• Veriied
manufacturers
in
the
oil
industry
were
complying
with
appropriate
speciications;
knowledge
of
industry
wide
specs
API
5L,
CSAZ245.1
and
.2,
API
6D
and
in
house
specs
for
PG&E,
Union
Gas
and
Enbridge
•
Consulting
for
Borderline
Pipe
Group
at
Jindal
Pipes
Ltd,
Baytown,
TX.
Witnessed
and
analyzed
pipe
mill
procedures
and
third
party
inspections,
reported
indings
to
client
•
Veriied
Material
Test
Reports
(MTR’s),
radiographic
ilm
and
wrote
inal
reports
for
clients
PRODUCTION
SUPERVISOR,
GENERAL
MOTORS;
OSHAWA,
ON
(2002
SUMMER
INTERNSHIP)
•
Organization
of
manpower/overtime
(led
a
team
of
23
production
employees)
SYSTEMS
AND
FACILITIES
ENGINEER,
GENERAL
MOTORS
(2000
-­‐
2001
SUMMER
INTERNSHIPS)
•
Web
site
and
database
design/development
using
JSP,
Java,
Javascript,
HTML
and
SQL
Server
•
Spreadsheet
design
using
Microsoft
Excel
•
Researched,
designed
and
supervised
maintenance
projects
•
Researched
and
designed
condensate
system
using
AutoCad
•
Designed
electrical
schematic
drawings
EDUCATION
Simon
Fraser
University
—
M.
Sc
Statistics
(2012
-­‐
Present)
•
Research
Interests:
Modern
Statistical
Methods/Computing,
Data
Mining,
MCMC,
Statistics
in
Sports,
Political
Forecasting
University
of
Toronto
—
Specialist
Statistics
and
Economics
Major
B.Sc
(2009
-­‐
2012)
•
Graduated
with
Distinction
•
Completed
several
research
projects
analyzing
large
datasets
•
Successfully
completed
Data
Analysis
I
&
II,
Survey
Sampling
and
Observational
Data,
Experi-­‐
mental
Design,
Probability
I,
Time
Series
Analysis,
Statistical
Computing,
Applied
Statistics
I,
Statistical
Consulting
McMaster
University
-­‐
Honours
BA,
Major
in
Communication
Studies
and
Political
Science
(2006)
•
Dean’s
Honour
List
•
Successfully
completed
Undergraduate
Thesis,
Diasporas
and
Canadian
Foreign
Policy,
a
ifty
page
research
paper
drawing
on
a
large
set
of
data
from
academic
journals,
books
and
govern-­‐
ment
publications.
Included
analyzing
and
making
judgments
on
policy,
inance
and
national
security
in
relation
to
various
diaspora
communities/networks
within
Canada
REFERRALS
Provided
upon
request