Priyanka Saboo Email & Phone Number
@umn.edu
5 phones found area 312, 651, and 720
LinkedIn matched
Who is Priyanka Saboo? Overview
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Priyanka Saboo is listed as Data Science @ Confluent at Confluent, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at umn.edu, phone signal with area code 312, 651, 720, and a matched LinkedIn profile for Priyanka Saboo.
Priyanka Saboo previously worked as Data Scientist at Confluent and Product Analyst II at Uber. Priyanka Saboo holds Masters Of Science, Business Analytics from University Of Minnesota - Carlson School Of Management.
Email format at Confluent
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AeroLeads found 1 current-domain work email signal for Priyanka Saboo. Compare company email patterns before reaching out.
About Priyanka Saboo
Priyanka Saboo is a Data Science @ Confluent at Confluent. She possess expertise in r, java, python, sql, business analysis and 45 more skills. She is proficient in English.
Listed skills include R, Java, Python, Sql, and 46 others.
Priyanka Saboo's current company
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Priyanka Saboo work experience
A career timeline built from the work history available for this profile.
Product Analyst Ii
- Improving the rides marketplace through ensuring high accuracy and reduced latency in rider and driver fares
- Prototyped new fare structures to improve customer experience while remaining competitive in the market that will potentially lead to over 0.1% increase in revenue
- Designed and analyzed experiments (A/B, Switchback, and Synthetic Control) to compare impact of features while balancing between customer experience, marketplace balance and revenue metrics
- Investigated outages, evaluated their impact, and aided business in deploying preemptive measures to avoid PR and Legal impact
- Played a key role in prioritization of engineering work by assessing various customer pain points in relation to fares (such as time and distance misestimations) and their impact on marketplace Technologies used: SQL.
Data Scientist
- Data Scientist leading improvements in Sling TV product and enabling the business and engineering teams in improving the service with the help of machine learning and data analysis
- Developed machine learning models to improve the content caching delivery aimed to reduce latency in content delivery
- Enabled business with improved understanding of customer engagement and churn with help of data analysis and automated dashboards in Tableau
- Developed and analyzed A/B tests to access and quantify success of new products and features Technologies used: SQL, AWS (Athena, Sagemaker etc.), Tableau, R, Python, Microsoft Excel
Product Manager - Data Analytics
- Data Analytics Manager responsible for enabling the Product Management team in creation and introduction of cutting-edge consumer television products with the help of data analysis
- Improving UI/UX by analyzing user interface navigation data to identify customer pain points
- Shaping product strategy to minimize cost and assess feasibility during product ideation
- Optimized customer marketing and retention strategies by profiling customers and providing segment level insights
- Transformed and influenced product management into a more data driven team by enabling them with readily available dashboards that unveil product and feature usage trends
- Forecasted success metrics trends to objectify goal setting and track progress to fine tune product strategy
Data Analytics Intern
- Technical Lead for the team responsible for developing an IoT solution to perform predictive maintenance for manufacturing industry
- Developed a working prototype by integrating various AWS tools that would ensure a seamless data flow from sensors to a dashboard on Tableau Server
- Created a predictive model for predicting fault in the system at separate stages of life cycle in real time using Python packages such as Pandas and Scikit-learnTechnologies used: Python, NoSQL (AWS DynamoDB), SQL (AWS.
Data Analyst
- Lead a three member team of data analysts responsible for analyzing data, reporting results and suggesting policy optimizations to help secure the client environment. My leadership has driven innovation, automation and.
- Analyzed and optimized data security for a multinational mass media company using Symantec DLP, Bay Dynamic Risk Fabric tools and generated performance tracking reports
- Recommended various optimizations to the existing processes with the help of business requirement analysis and incorporating policy changes using regular expressions
- Increased the efficiency and accuracy of the system that helped secure the client environment and reduced the amount of false positives from over 70% to under 15%
- Developed key deliverables and executive presentations showcasing the impact of the security analysis that helped fetch new business from the client
Colleagues at Confluent
Other employees you can reach at confluent.io. View company contacts →
Lexus Kantz
Colleague at Confluent
San Francisco, California, United States, United States
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ZW
Zhiwei Wang
Colleague at Confluent
Bellevue, Washington, United States, United States
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SR
Swathi Ramesh
Colleague at Confluent
San Francisco Bay Area, United States, United States
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SM
Shalini Marar
Colleague at Confluent
Bengaluru, Karnataka, India, India
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NS
Nathan Singer
Colleague at Confluent
Nashville Metropolitan Area, United States, United States
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TD
Troy D'Amico
Colleague at Confluent
San Francisco, California, United States, United States
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AS
Aishwarya Srinivas
Colleague at Confluent
Wichita, Kansas, United States, United States
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MA
Mohammed Ajaaz
Colleague at Confluent
Edinburgh, Scotland, United Kingdom, United Kingdom
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NV
Nikoleta Verbeck
Colleague at Confluent
Broomfield, Colorado, United States, United States
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WR
Will Raphaelson
Colleague at Confluent
Chicago, Illinois, United States, United States
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Priyanka Saboo education
Masters Of Science, Business Analytics
B.Tech, Computer Engineering
Frequently asked questions about Priyanka Saboo
Quick answers generated from the profile data available on this page.
What company does Priyanka Saboo work for?
Priyanka Saboo works for Confluent.
What is Priyanka Saboo's role at Confluent?
Priyanka Saboo is listed as Data Science @ Confluent at Confluent.
What is Priyanka Saboo's email address?
AeroLeads has found 1 work email signal at @umn.edu for Priyanka Saboo at Confluent.
What is Priyanka Saboo's phone number?
AeroLeads has found 5 phone signal(s) with area code 312, 651, 720 for Priyanka Saboo at Confluent.
Where is Priyanka Saboo based?
Priyanka Saboo is based in San Francisco Bay Area, United States, United States while working with Confluent.
What companies has Priyanka Saboo worked for?
Priyanka Saboo has worked for Confluent, Uber, Sling Tv, Dish Network, and Carlson Analytics Lab.
Who are Priyanka Saboo's colleagues at Confluent?
Priyanka Saboo's colleagues at Confluent include Lexus Kantz, Zhiwei Wang, Swathi Ramesh, Shalini Marar, and Nathan Singer.
How can I contact Priyanka Saboo?
You can use AeroLeads to view verified contact signals for Priyanka Saboo at Confluent, including work email, phone, and LinkedIn data when available.
What schools did Priyanka Saboo attend?
Priyanka Saboo holds Masters Of Science, Business Analytics from University Of Minnesota - Carlson School Of Management.
What skills is Priyanka Saboo known for?
Priyanka Saboo is listed with skills including R, Java, Python, Sql, Business Analysis, Data Structures, Data Mining, and Business Intelligence.
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