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Miranda Shen Email & Phone Number

Data Science Analyst | Visualization | Machine Learning | Statistics
Location: Stanford, California, United States 8 work roles 2 schools
1 work email found @symantec.com 4 phones found area 217, 310, and 650 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email · 4 phones

Work email m****@symantec.com
Direct phone (217) ***-****
LinkedIn Profile matched
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Role
Data Science Analyst | Visualization | Machine Learning | Statistics
Location
Stanford, California, United States

Who is Miranda Shen? Overview

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Quick answer

Miranda Shen is listed as Data Science Analyst | Visualization | Machine Learning | Statistics based in Stanford, California, United States. AeroLeads shows a work email signal at symantec.com, phone signal with area code 217, 310, 650, and a matched LinkedIn profile for Miranda Shen.

Miranda Shen previously worked as Data Science Analyst, IT Data Services at Symantec and Data Science Analyst, Center for Advanced Machine Learning at Symantec. Miranda Shen holds Master Of Science (M.S.), Electrical Engineering from Stanford University.

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Email format at symantec.com

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{first}_{last}@symantec.com
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Profile bio

About Miranda Shen

Miranda Shen is a Data Science Analyst | Visualization | Machine Learning | Statistics. She is proficient in Chinese.

Listed skills include Statistical Signal Processing, Machine Learning, C++, Algorithms, and 22 others.

8 roles

Miranda Shen work experience

A career timeline built from the work history available for this profile.

Data Science Analyst, It Data Services

Drive data science projects that improve business revenue and productivity.• Set up a Python server environment for the development of data science projects and initiated the migration of projects to a newer cloud-based Azure Databricks machine learning platform. This enhanced team collaboration and accelerated productivity.• Partnered with the development and evaluation of a cross-sell model for the enterprise business that was incorporated into a sales application that guided sales strategy and resulted in millions of additional revenue opportunity.• Collaborated in the design and build of a QlikSense dashboard for spend analytics to understand employee spend patterns and quickly identify issues.

May 2017 - Oct 2019

Data Science Analyst, Center For Advanced Machine Learning

In Chief Technology Department, worked with a team to design and build a web-based application for interactive graph visualization. • Incorporated the web app into the internal Splunk-based security operations workflow, allowing analysts to select security incidents from a dashboard to visualize as connected graphs, and to interactively investigate incidents. • Created a workflow to search for phishing incidents and to visualize correlations with other events in Splunk.• Helped to plan and implement a complete code re-architecture that allowed the tool to efficiently scale to other use cases.

Oct 2016 - May 2017

Data Science Analyst, Ebusiness Analytics And Optimization

Performed advanced analytics to identify bookings opportunities and customer retention strategies.• Provided input and oversight for the design and implementation of a service-oriented personalization platform that integrates the eStore with SAS and Adobe Test and Target.• Identified key drivers of why a customer would stop using a product during its active subscription period. Built binary classification models to predict inactive customers and help the business target communication.

Mar 2014 - Oct 2016

Princ Insights Analyst, Ebusiness Intelligence & Optimization

Symantec

Performed analytical research and modeling. Extracted, created and organized data files for analytical and modelling purposes.• Helped develop logistic regression models that generated predictive scores/segments (propensity to purchase) for real time customer targeting.• Designed and implemented A/B tests and online marketing campaigns for a personalization pilot program.• Analyzed results of a loyalty pilot test to identify top value drivers that increase customer satisfaction and long-term sales and bookings.• Built a sequence of auto-regressive models that forecast visitors to the eStore based on PC shipments with preloaded trial software, enhancing marketing campaign strategies.• Built a binary classification model that predicts billing failure and identified key drivers for billing success. Incorporated results into the auto-renew dashboard and report.

Apr 2010 - Mar 2014

Data/Program Analyst, Consumer And Ebusiness Intelligence

Symantec

Worked on a cross-functional team to launch a new consumer eCommerce platform to improve user experience and company revenue.• Helped to plan, strategize and manage the data preparation for the launches of 3 products and 10+ sites on the eStore.• Trained operations team to maintain data in the new platform and data stakeholders to troubleshoot potential problems.• Gathered requirements for and generated ad hoc reports to provide actionable insights.

Jun 2009 - Apr 2010

Independent Research

Stanford University

Surrogate Models for Nonconventional Well Placement Optimization• Incorporated kernel learning methods for feature extraction into a genetic algorithm-based optimization problem• Performed data analysis using PCA, kernel PCA, cluster analysis, and support vector regression• Built data-driven, surrogate models for a high-fidelity simulator• Implemented a calibration scheme using the manifold mapping procedure

Aug 2006 - Jun 2009

Research Intern

Uc Berkeley Summer Undergraduate Program In Engineering Research At Berkeley (Superb)

• Programmed Mica-type sensor motes using the Tiny Operating System (TinyOS) for a networked sensors project • Designed and conducted experiments to determine the sensitivity of light sensors to directionality and orientation

Jul 2002 - Aug 2002

Research Intern

Ucla Institute For Pure And Applied Mathematics (Ipam)

• Designed a program to model and analyze data from the simulation of a quantum semiconductor device • Compared two methods of function approximation, least squares fitting and a physics-based ‘particle’ method• Helped translate mathematical algorithms into C++ code, wrote prototype code, and tested the program for accuracy

Jul 2001 - Aug 2001
2 education records

Miranda Shen education

Master Of Science (M.S.), Electrical Engineering

Activities and Societies: Acts Graduate Christian FellowshipCoursework: Fourier Transform and Applications, Linear Dynamical Systems.

B.S., Electrical Engineering

Activities and Societies: Regents Scholar Society, Tau Beta Pi Engineering Honor Society, Society of Women Engineers

FAQ

Frequently asked questions about Miranda Shen

Quick answers generated from the profile data available on this page.

What is Miranda Shen's role at their current company?

Miranda Shen is listed as Data Science Analyst | Visualization | Machine Learning | Statistics.

What is Miranda Shen's email address?

AeroLeads has found 1 work email signal at @symantec.com for Miranda Shen.

What is Miranda Shen's phone number?

AeroLeads has found 4 phone signal(s) with area code 217, 310, 650 for Miranda Shen.

Where is Miranda Shen based?

Miranda Shen is based in Stanford, California, United States.

What companies has Miranda Shen worked for?

Miranda Shen has worked for Symantec, Stanford University Smart Fields Consortium, Uc Berkeley Summer Undergraduate Program In Engineering Research At Berkeley (Superb), and Ucla Institute For Pure And Applied Mathematics (Ipam).

How can I contact Miranda Shen?

You can use AeroLeads to view verified contact signals for Miranda Shen, including work email, phone, and LinkedIn data when available.

What schools did Miranda Shen attend?

Miranda Shen holds Master Of Science (M.S.), Electrical Engineering from Stanford University.

What skills is Miranda Shen known for?

Miranda Shen is listed with skills including Statistical Signal Processing, Machine Learning, C++, Algorithms, Data Mining, Matlab, Data Analysis, and Omniture.

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