Isaac Wang Email & Phone Number
@spotify.com
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Who is Isaac Wang? Overview
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Isaac Wang is listed as Data Scientist II at Spotify at Spotify, a company with 17003 employees, based in New York, New York, United States. AeroLeads shows a work email signal at spotify.com and a matched LinkedIn profile for Isaac Wang.
Isaac Wang previously worked as Data Scientist II at Spotify and Data Scientist I at Spotify. Isaac Wang holds Bachelor Of Business Administration (B.B.A.), Management Information Systems, General from The University Of Texas At Austin.
Email format at Spotify
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AeroLeads found 1 current-domain work email signal for Isaac Wang. Compare company email patterns before reaching out.
About Isaac Wang
Currently I am a data scientist on Spotify's Creator Business team. I help support and drive product business decisions for Spotify's promotional products, specifically a product called Discovery Mode. Discovery Mode is a product that helps creators spotlight specific tracks in Radio and Autoplay. I perform a variety of different tasks in my current role. I work on the business side and influence high level product strategy with key analyses like financial forecasting, annual planning, and 5 year plans. I also work on the the product insights side and have utilized a few ML algorithms to learn which song features are important in tracks high performing tracks.Prior to Spotify, I was a data scientist on the Conversational Intelligence Data Science & Machine Learning team at Apple working on improving machine learning models for Apple's customer facing and internal chatbots. I work with multiple business teams to lead intent restructuring campaigns to reduce and prevent intent overlap and minimize model confusion.Prior to Apple, I was a data analyst on the Employee Insights team at United Airlines, where I oversaw Voices, an internal app for 40,000 mainline flight attendants to report operational issues or feedback from customers. I performed sentiment analysis on newly offered United in-flight products and meals using various NLTK toolkits. Fascinated by these data science concepts, I decided to join Metis, a full-time, 3-month Data Science immersive, where I completed 5 end-to-end projects included below.
Listed skills include Teamwork, Team Building, Public Speaking, Social Media, and 20 others.
Isaac Wang's current company
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Isaac Wang work experience
A career timeline built from the work history available for this profile.
Data Scientist Ii
Current
Data Scientist I
- Guided high level product strategy on Discovery Mode - a promotional tool for creators to spotlight specific tracks in Radio and Autoplay
- Collaborated with finance and engineering teams to create key business analysis including financial forecasting, annual planning and 5 year plan
- Conducted scenario planning to estimate gross profit impact from expanding product to additional sets beyond radio and autoplay
- Implemented machine learning models (random forest) to uncover feature importance on best performing tracks. Discovered artist tier and content age were important factors in best performing tracks.
- Utilized findings from feature importance analysis to randomly sample and recommend songs to opt into program
- Improved Tableau business dashboard tracking overall program performance and market share lift amongst other key metrics
Data Scientist
- Data Scientist on Conversational Intelligence Machine Learning team
- Worked on enhancing Apple's customer facing chatbot, as well as various internal chatbots to classify any given customer message (utterance) to various intents defined by business as accurately as possible.
- Collaborated with AppleCare and Retail business teams to lead intent restructuring efforts via 2 campaigns: similarity analysis and low confidence restructuring
- Implemented a similarity algorithm that compares two utterances in the training data and assigns a score between 0 and 1 of how similar utterances are to each other. Utilized this algorithm to compare every single.
- Improved intents that commonly fell under a confidence threshold by adding additional n-grams and direct matches to model
- Published interactive Tableau business dashboard that measures model performance on each validation set and highlights top misclassified intents with ability to dive into false positives/negatives per intent.
Data Scientist
Metis is an ACCET-accredited 12 week immersive Data Science bootcamp with a project-basedcurriculum focused on machine learning. Projects include:# 1. Generating Lo-Fi Music with Neural NetworksUtilized Tensorflow and Keras to create a model to generate jazz piano samples in GCP. Final neural network model: Bidirectional LSTM → Attention → LSTM. Samples of.
Data Analyst - Employee Insights
- Lead the testing, and implementation of United Voices, an internal app that collects operational feedback from 40,000 mainline flight attendants
- Built fully interactive department specific (catering, cabin amenities) dashboards in Palantir to help track, analyze and respond to key trending issues
- Utilized Natural Language Processing to identify urgent reports to help prioritize workflow, in addition to performing sentiment analysis on newly added United in-flight products and snacks
- Analyzed user base engagement by applying logistic regression to predict flight attendant churn
- Worked in ServiceNow to manage pending flight attendant reports
Associate Data Analyst - Domestic Pricing
- Examined major spikes in refunding passengers and implemented a refundable blackout strategy for newly identified events
- Improved efficiency of marketing process by writing SQL query to more accurately describe seat availability via market
- Constructed a procedure that scans markets for wide gaps between price points to automatically creates mid-level fares, resulting in better segmentation across markets
Business Intelligence Data Analyst
- Collaborated with multiple stakeholders using Agile methodology to create an all-encompassing Tableau dashboard
- Automated an excel report to track QA employee efficiency and reduced reporting time from 1 hour to 5 seconds (see Daniel Wardle's Recommendation further down)
- Extracted data from a variety of different data sources using SQL queries, including joins, aggregate functions, case when statements, temp tables, and subqueries
- Constructed of a stored procedure in SQL to automatically populate data into Tableau
Data Analyst
- Developed expertise in forecasting festival budget of $1M for food, merchandise, and bar vendors, as well as ticket sales on a monthly basis utilizing Excel
- Accurately estimated artist value for four to five artists by developing regression model using Excel's StatTools
Assistant Product Manager Intern
- Presented a competitive analysis on rival healthcare product features to the Research and Development Team
- Analyzed potential marketing strategies surrounding a healthcare database
- Facilitated research on potential market niches to be penetrated
Colleagues at Spotify
Other employees you can reach at spotify.com. View company contacts for 17003 employees →
Francesca Ashcroft
Colleague at Spotify
United Kingdom, United Kingdom
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AS
Apurv Singh
Colleague at Spotify
Thane, Maharashtra, India, India
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VB
Vaibhav Bhavar
Colleague at Spotify
Mumbai, Maharashtra, India, India
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RG
Robert Griffiths
Colleague at Spotify
Greater London, England, United Kingdom, United Kingdom
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MA
Md Abu Syed Tanu
Colleague at Spotify
Chattogram, Chattogram, Bangladesh, Bangladesh
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SK
Sunil Kumar Meena
Colleague at Spotify
Jaipur, Rajasthan, India, India
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MD
Martin Diana
Colleague at Spotify
Stockholm, Stockholm County, Sweden, Sweden
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FC
Fernando Carvalho
Colleague at Spotify
São Paulo, São Paulo, Brazil, Brazil
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😋N
😋 Nichlas Larkö Sander
Colleague at Spotify
Gamlestaden, Västra Götaland County, Sweden, Sweden
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C👩
Carla 👩🏼💻 Stickler
Colleague at Spotify
Chicago, Illinois, United States, United States
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Isaac Wang education
Bachelor Of Business Administration (B.B.A.), Management Information Systems, General
Bachelor'S Degree, Management Information Systems, General
Frequently asked questions about Isaac Wang
Quick answers generated from the profile data available on this page.
What company does Isaac Wang work for?
Isaac Wang works for Spotify.
What is Isaac Wang's role at Spotify?
Isaac Wang is listed as Data Scientist II at Spotify at Spotify.
What is Isaac Wang's email address?
AeroLeads has found 1 work email signal at @spotify.com for Isaac Wang at Spotify.
Where is Isaac Wang based?
Isaac Wang is based in New York, New York, United States while working with Spotify.
What companies has Isaac Wang worked for?
Isaac Wang has worked for Spotify, Apple, Metis, United Airlines, and Quicken Loans.
Who are Isaac Wang's colleagues at Spotify?
Isaac Wang's colleagues at Spotify include Francesca Ashcroft, Apurv Singh, Vaibhav Bhavar, Robert Griffiths, and Md Abu Syed Tanu.
How can I contact Isaac Wang?
You can use AeroLeads to view verified contact signals for Isaac Wang at Spotify, including work email, phone, and LinkedIn data when available.
What schools did Isaac Wang attend?
Isaac Wang holds Bachelor Of Business Administration (B.B.A.), Management Information Systems, General from The University Of Texas At Austin.
What skills is Isaac Wang known for?
Isaac Wang is listed with skills including Teamwork, Team Building, Public Speaking, Social Media, Social Networking, Problem Solving, Photoshop, and Research.
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