Data Scientist Resume Mtn View, CA - Hire IT People

SUMMARY:

Master’s Degree in Statistics; proficient in R, Python, Tensorflow, SAS, SQL, Tableau and MS Office.
Developed strong analytical skills in working with large datasets, extracting crucial information, building models such as regression, neural networks, etc., producing visualizations and drawing conclusions.
Responsible, detail oriented, and self - motivated.

WORK EXPERIENCE:

Confidential, Mtn View, CA

Data Scientist

Responsibilities:

Constructed a Machine Learning algorithm using Tensorflow within Python to analyze Confidential data; developed a model for forecasting of Confidential data; the modeled data matches observed values with high accuracy.
Applied various Confidential methods such as Confidential, Exponential Smoothing and Confidential to generate forecasts on data.
Used Python and/or R to extract, clean and verify the integrity of large datasets for analysis.
Built several kinds of visualizations to illustrate statistical patterns and trends.
Writing a research paper regarding the LSTM (Long Short-Term Memory) model as well as comparisons of LSTM prediction with those of conventional Confidential methods.

Confidential, Mountain View, CA

Business Intelligence Analyst Intern

Responsibilities:

Collected and recorded the prices of various Confidential ’s web security products and deals. Analyzed annual price changes of these products for marketing team to optimize the product sales.
Generated forecasting models for bookings of different products; forecasted order bookings for fiscal years ; applied various techniques to demonstrate that the predictions looked feasible.
Conducted weekly presentations on fundamental statistical concepts and big data topics to the team members.
The presentation covers data visualization, hypothesis tests, regression, ANOVA and nonparametric statistics.

Confidential, San Jose, CA

Data Collector

Responsibilities:

Performed surveys on diverse merchandise for supermarkets and chain-stores around Confidential .
Provided critical sale information to store management to control merchandise inventory.
Identified priorities of different projects and improved time management to meet the deadlines.

Confidential, San Jose, CA

Customer Service Contractor

Responsibilities:

Promoted home remodeling services and assisted customers for professional design consultations.
Developed strong customer communication skills by talking to more than 150 customers a day.

Confidential

Statistics Intern

Responsibilities:

Applied statistical analysis on a sociology project of school students’ performance. The analysis included information collection, data verification and analysis.
Applied multiple regression and structural equation modeling using SPSS (Statistical Package for the Social Sciences) and AMOS software.
Comprehended several kinds of neural network techniques such as convolutional and recurrent neural networks; utilized these networks to conduct analysis and forecast data patterns.
Familiar with other advanced machine learning concepts such as principal components analysis ( Confidential ), clustering, and k-nearest neighbors ( Confidential ).

Confidential

Customer Service

Responsibilities:

Developed skills in various Confidential methods such as Confidential, Exponential Smoothing, Confidential and Theta Forecasting Method; applied these Confidential methods to generate predictions and compared their results.

Confidential

Customer Service

Responsibilities:

Mastered a variety of different database concepts, database models and management systems.
Studied a company’s business process and created company database model. Utilized both SQL statements and Microsoft Access to illustrate the relationships between each component in the model.

Confidential

Customer Service

Responsibilities:

Applied various statistical methods for research projects, analyzed complex data sets and presented conclusions effectively to the clients. Utilized SAS or R to conduct data analysis for applied statistical projects, such as pest control and osteoporosis.
Analyzed a company’s sales information, which has close to 10,000 entries. Used Excel advanced functions such as pivot tables and V-lookup to find out each product revenue, cost and profit. Identified the top customers and determined each salesperson performance.