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Shangying Jiang

New York, NY ***80 • 765-***-**** • ac7pgn@r.postjobfree.com • http://www.linkedin.com/in/shangying-jiang QUALIFICATIONS PROFILE

Dedicated to quality, project success, and improving business processes as they relate to solutions in a Data Scientist role.

• Analysis: Hands-on experience deriving insights from structured and unstructured data by performing information analytics.

• Modeling: Capable of building Artificial Intelligence (AI) and data science models as well as prototyping algorithmic incorporations and testing efficiency by leveraging experimental design and hypothesis validation.

• Architecture: Possess capabilities to architect risk and security monitoring systems and enable information evaluation of other issues effectively and efficiently.

• Key Strengths: Excel at interfacing with clients’ customers, engineers, and management. Able to convey complex technologies to a variety of skill levels.

Core Technologies:

Applications: Hadoop, SAS, Spark, JMP, Tableau, Amazon Web Services (AWS) Programming Languages: Python, R, Excel VBA, LaTeX, and SQL EDUCATIONAL BACKGROUND

Master of Science in Data Science – May 2018

New York University, New York, NY

Bachelor of Science in Applied Statistics – December 2015 Purdue University, West Lafayette, IN

EXPERIENCE HIGHLIGHTS

New York University, New York, NY

Master of Science Student, September 2016 to May 2018 Technologies: Python, PyTorch, TensorFlow, SQL, VBA, AWS, SAS, R, Excel Excelled in this rigorous graduate degree program, completing extensive coursework in big data, machine learning, deep learning, natural language processing with representation learning, inference and representation, data-driven decision making, advanced Python, and risk and portfolio management with econometrics. Key Projects:

Two-Stream Convolutional Neural Network (ConvNet) Architecture for Action Recognition (Spring 2018)

Contributed to an open access deep learning project, running experiments on Two-Stream Convolutional Neural Network (ConvNets) architecture in search of human action recognition in videos.

Proposed a model for solving discriminative tasks with video inputs.

Evaluated an average of five group optimization algorithms and controls.

Risk and Portfolio Management System based on S&P 500 Companies (Spring 2018)

Devised a risk and portfolio management system based on S&P 500 companies’ stock data.

Employed quantitative methods to process, analyze and visualize the data to help user to understand the distribution and statistical relationships within data.

Generated eigen portfolios which achieved 2% more return than SPDR S&P 500 ETF (SPY) using principal component analysis.

Shangying Jiang

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Neuronal Components Classification of Calcium Imaging Data with Flatiron Institute (Fall 2017)

Developed multi-classification models to identify neurons and noise artifacts in the images extracted from high- resolution videos that records brain activities.

Achieved 95% accuracy by locating noise artifacts and neurons amid images within recorded brain movement videos.

New York Times Articles Popularity Prediction (Spring 2017)

Extracted and constructed data for modeling by web scraping and text mining and analysis.

Designed forecasting models for New York Times articles’ “Popularity before Publication.”

Proved a model simulation of 30% revenue expansion on an advertisement pricing tactic.

Devised approximately six multi-classification models with Decision Tree, Random Forest, and Naïve Bayes Algorithms.

New York City Crimes Analysis (Spring 2017)

Dissected reported crimes data with the New York City Police Department between the years of 2006 to 2015.

Authored MapReduce and PySpark programs and designed expressive synopses.

Compared housing and crime data of New York City as part of a big data project.

Airbnb Recommendation System (Spring 2017)

Devised a recommender system which supported customer requests using collaborative filtering.

Assisted hosts in comprehending personal market positions via perceptual map produced by hierarchical clustering.

Incorporated a Latent Dirichlet Allocation on patron appraisals of online entries through a behavioral inquiry. China Southwest Security, Chongqing, China

Data Analyst Intern, May 2015 to August 2015

Technologies: R and Excel

Forecasted clients’ accomplishments by leveraging the applied statistical method. Examined clients’ financial documents as a support feature of due diligence.

Augmented understanding of financial data on a $200M asset reorganization project.

Boosted statistical analysis on a $3M asset acquisition project.

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