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Hello! I'm Priyanshu

 

I'm a Data Scientist by profession and an alumnus of The University of Texas at Dallas. I like to transform data into insights and turn those into strategies that drive growth. 

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Priyanshu Sharma

DATA SCIENTIST & CLOUD ARCHITECT

 

Phone:

469-316-7620

 

Email:

sharma.priyanshu96@gmail.com 

 

Address:

7575 Frankford RD

Dallas, TX 75252

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Date of Birth:

October 12th, 1996

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EXPERIENCE
EXPERIENCE
Jun 2019-Present

Data Scientist

MARKETCHORUS

I build State-of-the-Art Machine Learning & Natural Language Processing driven products to help identify the right Audience for your Content.

Have a look at my work here: https://dev.marketchorus.com

May 2016-Jul 2016

Hadoop Developer Intern

MULTISOFT SYSTEMS

I analyzed real-time twitter feeds for a better understanding of social behavior and trends using cutting edge Big Data tools like Spark, Hadoop, Kafka, etc. 

EDUCATION
EDUCATION
2018-2020

Master's Degree

UNIVERSITY OF TEXAS AT DALLAS

Master of Science in Business Analytics

2012-2014

Bachelor's Degree

GLA UNIVERSITY, INDIA

Bachelor of Technology in Computer Science & Engineering

EXPERTISE
EXPERTISE
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SKILLS
SKILLS

PYTHON

MACHINE LEARNING

DATA VISUALIZATION

NATURAL LANGUAGE PROCESSING

CLOUD ARCHITECTURE

BIG DATA ANALYTICS

PROJECTS
PROJECTS
Risk Analytics Engine

As a part of Fanni Mae's HackUTD-VI Data Science Challenge, we built a Risk Analytics Engine using Machine Learning and Data Science. This is a hosted Web-Application that is based on a highly-accurate ML Model to Predict if a certain loan should be acquired or not.

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Credit Card Fraud Detection

The datasets contain transactions made by credit cards in September 2013 by European cardholders.  The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions. I was able to achieve a 92% precision and recall average.

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Stock Market Forecast

This is a Kaggle Kernel I posted as a guide for people willing to learn more about Time Series Analysis and Forecasting. I used multiple stock data sources to describe various techniques used for the ideal analysis of such data.

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CONTACT
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