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Data Manager

Location:
Jersey City, NJ
Salary:
70000
Posted:
December 20, 2015

Contact this candidate

Resume:

Avinash

Singh

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

Avenue,

Apartment

2R,

Jersey

City,

NJ

07307

(201)

889

1067,

********@*******.*** OBJECTIVE: A

full- time

position

in

the

field

of

Computer

Science

and

Data

Analytics EDUCATION: Stevens

Institute

of

Technology,

Hoboken,

NJ Master

of

Science

in

Computer

Science

expected

12/2015 GPA:

3.92/4

M.S.Ramaiah

Institute

of

Technology,

Bangalore,

Karnataka,

India Bachelor

of

Engineering

in

Computer

Science

07/2013 GPA:

7.82/10

SKILLS: Programming

Languages:

Java,

R,

SQL,

Python,

C,

C++ Database

Systems:

MS

SQL

Server,

My

SQL Technologies:

HTML,

CSS,

Servlets,

JSP,

XML Scripting

Languages:

JavaScript,

PHP

Other

Software:

Microsoft

Visual

Studio,

Microsoft

SQL

Server,

Microsoft

Office,

Microsoft

Windows,

Mac

OS

X, Fedora,

Unix,

Macromedia

Dreamweaver,

Net

beans,

Visual

Studio,

Visual

C,C++,

Notepad

++, Eclipse,

R

Studio,

Amazon

EC2,

Moqups. Certificates:

Workshop

on

HADOOP- CLOUD

COMPUTING,

Microsoft

Dream

spark

Yatra, Social

services

of

the

ROTARY

CLUB EXPERIENCE: Larsen

&

Toubro

InfoTech,

Edison,

NJ,

USA

06/2015

08/2015 Big

data

Intern:

• Training Was provided on: - R programming, Getting and Cleaning Data, Exploratory Data Analysis, Reproducible Research,

Statistical

Inference

and

Regression

Models.

• Statistical Analysis and Prediction of online news popularity: Applied various statistical and machine learning techniques to predict popularity and analyze articles published by Mashable. Algorithms Used: KNN and Linear Regression.

Technology

used:

R,

R- Studio

and

Microsoft

Excel.

• Bank Concentration and Crisis: Using data of 79 countries over the period of 17 years, the impact of bank concentration, regulations and national institutions on the likelihood of suffering a systemic banking crisis was evaluated. Algorithms used: Principal component analysis, linear discriminant analysis, KNN and logistic Regression. Technology

used:

R,

R- Studio,

and

Microsoft

Excel.

• Created

an

Interactive

dashboard

that

used

statistics

to

analyze

the

daily

activities

of

consultants

within

L&T

InfoTech. The hourly data

was collected on a daily basis and

was incorporated in the dashboard.

Which

was used for internal Auditing

and

how

business

is

doing

for

various

IT

teams. Digital

Raddish

PTY,

Varanasi,

Uttar

Pradesh,

India

11/2013

05/2014 Analyst

Intern:

• Analyzed

the

needs

of

the

business

customers

and

coming

up

with

solutions

to

business

problems.

Worked

closely

with data

architects,

developers,

test

managers,

business

stakeholders,

and

project

managers

to

achieve

project

objectives in

defined

time

frames.

• Conducted

requirement

workshop

with

the

client,

documented

detailed

system

requirement

specifications

(Functional

and

non- functional),

business

rules

and

business

process

flows.

• Created

Business

Requirement

specifications,

maintain

traceability

report

and

client

sign- offs,

• Worked

with

offshore/onshore

Project

Manager to

work

on

delivery report

providing

order

of

magnitude to various proposal.

PROJECTS: Stevens

Institute

of

Technology,

Hoboken,

NJ Analysis

of

Diabetic

Dataset

having

a

record

of

more

that

100,000 12/2014

• Implemented

clustering

and

decision

tree

techniques

to

identify

different

patient

segments.

• Designed

the

plot

and

graph

using

data

mining

algorithms,

K- means

clustering,

Naïve

Bayesian

and

K- Nearest

Neighbor. Predicting

the

Success

of

Bank

Telemarketing 05/2015

• Performed

multi- variate

descriptive

data

analysis

on

Bank

Telemarketing

dataset.

• Performed

dimension

reduction

using

Principal

Component

Analysis.

• Classified

data

using

Logistic

Regression,

and

Linear

Discriminant

Analysis.

• Predicted

which

customers

were

potentially

interested

in

buying

the

long- term

policy. Sentiment

Analysis

and

Accuracy

for

Restaurant

Reviews 05/2015

• Scraped

reviews

from

popular

restaurant

websites.

• Categorized

reviews

as

positive/negative

after

cleaning

the

data

for

stop

words

and

forming

n- grams.

• Built

a

model

based

on

the

reviews

with

a

balance

on

positive

and

negative

reviews.

• Used

Python’s

scikit

libraries

to

run

algorithms

and

predict

whether

the

new

data

is

positive/negative. M.S.Ramaiah

Institute

of

Technology,

Bangalore,

Karnataka,

India Cloud

Computing

Security

from

Single

cloud

to

Multi

Cloud 06/2013

• Depicting

the

need

to

use

multi- cloud

over

single

cloud.

• Data

was fragmented into three parts and

was encrypted by Shamir’s Secret sharing algorithm and

was stored into three

different

servers.

• When

required

user

enters

his

password

the

data

is

retrieved

from

all

the

servers

and

decrypted

and

merged. Student

Information

System 05/2011

• An

online

College

Portal,

consisting

of

student,

faculty,

Principal,

Department

Head

and

Administrator

login.

• Student

can

retrieve

information

regarding

academics,

i.e.

Attendance,

Marks,

subject,

etc.

• Faculty

can

give

attendance,

marks.

Principal

and

Department

Head

can

see

the

performance

of

each

class. An

online

website

for

selling

mobile

phones. 05/2011

• 250

Mobile

phones

were

listed

of

all

the

different

companies

available

in

the

market.

• Mobile

phone

price

was

compared

with

different

website

present

in

the

market. Subjects: Introduction

to

Java Knowledge

Discover

and

Data

Mining Fundamentals

of

Cyber

Security Multivariate

Data

Analysis

I Intro

to

cloud

computing Web

Analytics Human

Computer

Interaction Introduction

to

Ecommerce Algorithms



Contact this candidate