The document provides a resume for Aakanksha Agnani. It summarizes her professional experience as a software engineer at Gap Inc. and Accenture, where she developed applications using technologies like Java, Python, Oracle and PostgreSQL. It also lists her education as a Master's in Computer Science from Ohio State University and Bachelor's from University of Mumbai.

1. AAKANKSHA
AGNANI
500
Beale
St
aakankshaagnani@gmail.com,
(614)
843-­‐3684
San
Francisco,
CA,
94107
www.linkedin.com/in/aakankshaagnani
Professional
Summary
• Strong
industry
experience
in
developing
multi-­‐tier
applications
using
agile
methodology
• Experience
delivering
end-­‐to
end
products,
complete
with
design
documents,
unit
tests
and
well-­‐documented
code
• Solid
understanding
and
industry
experience
with
Object
Oriented
Programming
Principles
(OOPS)
• Experience
with
multiple
databases
including
Oracle,
PostgreSQL,
MySQL
• Excellent
communication,
research,
analysis,
organizational
and
leadership
skills.
• Oracle
certified
professional,
Java
SE
6
Programmer
Technical
Skills
• Languages
:
JAVA,
Python,
C#,
SQL,
PL/SQL
• Operating
Systems
:
Unix/Linux,
Windows,
Mac
• Web
Design
:
HTML,
JavaScript,
CSS,
XML
• Database
:
Oracle,
MySQL,
SQL
Server,
PostgreSQL
• IDE/Tools
:
Eclipse,
Net
Beans,
SQL
Developer,
IntelliJ,
TOAD
• Servers
:
JBoss,
Weblogic,
Tomcat
• Version
Controls
:
git,
Subversion
(SVN),
Win
CVS
Education
• The
Ohio
State
University,
Columbus,
Ohio
May
2015
Masters
of
Science
in
Computer
Science
GPA
–
3.5/4
• University
of
Mumbai,
Mumbai,
India
June
2011
Bachelors
of
Engineering
in
Computer
Science
GPA
–
3.7/4
Work
Experience
Gap
Inc.
Software
Engineer
July
2015
–
Present
• Automated
flow
of
data
by
improving
end-­‐to-­‐end
information
flow
between
internal
application
like
design,
negotiated
cost,
assortment
and
planning
• Resolved
data
integrity
issues
by
adding
additional
validations
on
core
application
components
• Implemented
purging
functionality
for
unused
style
numbers
in
order
to
reuse
styles
in
GAP
systems
• Refactored
code
to
improve
efficiency
and
maintainability
• Fine
tuned
and
automated
test
scripts
Technologies:
Java,
Mongo
DB,
Oracle
10g/11g,
Gradle,
Groovy
Gap
Inc.
Software
Developer
Intern
June
2014
–
Aug
2014
• Created
a
new
modern,
responsive
design
for
GAP
Inc.’s
brand
of
websites
to
improve
user
experience
on
smaller
devices
like
phones
and
tablets
• Developed
internal
web
application
to
maintain
information
about
employees,
their
technical
skills
and
proficiencies
• Supported
feature
to
request
SMEs
to
review
proficiencies
as
well
as
deletion
and
in
place
modification
of
skills
and
email
notifications
for
changes
• Migrated
code
from
Oracle
db
to
PostgreSQL
Technologies:
Java,
Oracle
10g/11g,
PostgreSQL

2. Accenture
Services
Pvt.
Ltd
Software
Engineer
Oct
2011
–
July
2013
• Worked
on
customization
for
Vodafone
inventory
systems
using
PL/SQL
and
Cramer
modules
• Developed
PL/SQL
procedures,
triggers
&
packages,
modeled
system
component
and
prepared
test
cases
for
device
and
circuit
modeling
• Implemented
change
requests
for
handling
new
devices
and
connections
for
Vodafone.
Estimated
and
analyzed
impact
of
change
requests.
• Individually
handled
a
migration
module
to
a
newer
version
of
Cramer
Technologies:
PL/SQL,
Oracle
10g/11g,
AMDOCS
OSS
Cramer
Selected
Academic
Projects
Product
recommendations
on
Twitter
based
on
user
reviews
• Implemented
a
model
to
provide
game
recommendations
for
users
based
on
sentiment
analysis
of
tweets
related
to
the
underlying
features
and
specifications
of
a
game
• Provided
recommendations
based
on
products
with
similar
appreciated
features
in
tweets
using
clustering
techniques
• Worked
with
Alchemy
API
for
natural
language
processing
and
machine
learning
techniques
to
find
information
about
sentiments
in
tweets
• Used
Metacritic
game
reviews
as
truth
data
to
compare
tweets
and
game
reviews
to
make
recommendations
Technologies:
Python,
Java,
Alchemy
API,
Metacritic
Mashap
API,
NLTK
clustering
Implementation
of
crowdsourcing
to
reduce
cube
computation
• Worked
on
reducing
cost
computation
of
finding
interesting
groups
in
data
cubes
based
on
holistic
measures
by
using
crowdsourcing
(Amazon
Mechanical
Turk)
along
with
implementation
of
Bottom
Up
Cubing
(BUC)
algorithm
for
n-­‐dimension
cube
Technologies:
Python,
BOTO
(python
interface
to
AWS),
Amazon
mechanical
Turk
Psychographic/demographic
data
analysis
–
Astute
solutions
• Built
an
estimation
model/service
in
python
using
open
datasets
that
analyzes
basic
attributes
such
as
name
and
location
and
estimate
a
set
of
more
advanced
attributes
like
income
range.
Technologies:
Python,
NLTK
library
Customer
shopping
recommendation
systems
• Developed
a
shopping
recommendation
system.
Recommendation
list
was
given
to
user
based
on
the
past
transactions
in
a
grocery
store.
• Provided
recommendations
based
on
similar
customers
purchases
to
enhance
the
list.
• Customers
were
also
recommended
a
list
of
most
popular
items
of
the
store
Technologies:
C#,
SQL
Server
2005,
Association
Mining,
Collaborative
Filtering
Research
• Published
and
presented
a
technical
paper
entitled
“SHOPPING
LIST
RECOMMENDER”
in
the
proceedings
of
the
International
Conference
and
Workshop
on
Emerging
Trends