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Data Engineering

Location:
Dutchess County, NY
Salary:
50000
Posted:
April 06, 2015

Contact this candidate

Resume:

Botong Hu (Jeremy)

http://botonghu****.x**host.com

**** ******* ******, *** #*** 201-***-****

Hoboken, NJ 07030 aco108@r.postjobfree.com

Business Intelligence Analyst/Data Scientist

A top-performing computer scientist, applied mathematician and recent

graduate with a Master of Science in Electrical Engineering received from

Stevens Institute of Technology. 3 years of experience using statistical

models and undertaking database analysis. Ability to confidently extract

and query very large data sets using Java, Python, SQL, and other

programming languages while successively refining applicable parameters to

accurately express data trends or anomalies.

Education/Training & Certifications

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Master of Science in Electrical Engineering, Data Engineering, Stevens

Institute of Technology, Hoboken, NJ (2014)

Relevant Coursework: Data Structure and Algorithm Machine Learning and

Data Mining Pattern Recognition and Classification Database Management

System

Bachelor of Communication Engineering, Beijing University of Chemical

Technology, Beijing, China (2013)

Certified National Psychological Consultant, Level 3 Certificate (2012)

Computer Program Expertise

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MATLAB/R/Java/C/Python/HTML/PHP Scaling/Performance/Schedul Windows/Mac OS/Linux

ing MapReduce

MySQL/ PostgreSQL ETL Techniques/ Data Machine Learning Algorithm

Data Mining/ Data Modeling and Cleansing

Optimization Hadoop

Relevant Professional Experience

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Lenovo, Inc. (Beijing), Beijing, China 2012

Product Assistant, Consumer Product Marketing Department

. Essential mobile product assistant tasked with consumer channel survey

and data analysis, CDMA mobile products planning and consumer electronic

channel strategy planning.

. Supported development, execution, forecast and management of action plans

for new product introduction and product line extensions.

. Provided technical services with product information, responded to

customer questions, requests and assisted in responding to formal

complaints or suggestions regarding products and product lines.

Academic Projects

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Stevens Institute of Technology, Hoboken, NJ 2013 - 2014

A Hybrid ARIMA and Support Vector Machines Model in Stock Price Forecasting

(Fall 2014)

. Implemented a support vector machine model (SVM) for predicting Tesla

Stock open value ranging from Jun 29th 2010 to Nov 31st 2014 based on

optimizing parameters in kernel function.

. Built an ARIMA model; developed linear regression of Tesla stock open

value.

. Created a model by combining two models; obtained a smaller MSE in

testing data compared to SVM and ARIMA models, working primarily in

MATLAB.

Outcome

. The MSE of hybrid model, ARIMA,SVM is 0.000084, 0.036, 0.00086

respectively; new hybrid model combining the advantage of SVM and

ARIMA increased performance on forecasting.

Improved Predictive Model by Combining Neural Network and Genetic Algorithm

(Spring 2013)

. Pre-processed data with principle component analysis in MATLAB; reduced

data dimensions in order to avoid over-fitting.

. Built Back Propagation neural network with gradient descent algorithm;

predicted NBA players' free throw percentage in playoffs.

. Created a better way of obtaining optimal weights matrix in neural

network based on genetic algorithm; significantly reduced the Mean Square

Error in testing set compared to BP neural network; worked primarily in

MATLAB and R.

Outcome

. Mean square error of improved model is 5.3704*10-5; MSE of neural

network model is 1.8776*10-4; shows improvement of smaller error than

back propagation neural network.

Recommendation System Methodology in Yahoo Music (Spring 2013)

. Built hash table for storing hierarchy relationships between tracks,

albums, artists and genres using Java.

. Implemented Yahoo music recommendation system with large dataset using

java based on neighborhood method to recommend 3 songs with higher scores

to each user given users' rating history.

Outcomes

. Compared to the real result, the accuracy reached 78%.

. Published thesis in 2012 was 64%; results show an increase of 21.8%.

Beijing University of Chemical Technology, Beijing, China

May 2012

Project Leader of the Miniaturization Design of Bluetooth Antenna

Organized group brainstorming sessions; assigned tasks to team members

after discussion.

Designed plans to optimize and simulate Bluetooth antenna.

Implemented new structures with PIFA's strength and finished the

emulation of the antenna,

Laid out the antenna and led the group to finish research report and

summary.



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