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Product Manager

Location:
New York City, NY
Posted:
August 20, 2020

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Resume:

MUKTA PAWAR

781-***-****

*****.*****@*******.***

linkedin.com/in/muktapawar

NYC

EMPLOYMENT

Wayfair Jul‘19 - Present

Product Manager

● Primary owner of roadmap for Communications Platform, managing post-purchase customer engagement for the largest online retailer of home decor.

● Built and scaled a messaging platform (APIs) that leverages 3 different channels (SMS, Chat, Push) to engage with 20 million active customers across multiple countries and timezones. Grew channel subscriptions by 6 MM users in 6 months.

● Led cross-functional initiatives with Marketing to launch product reviews via SMS, Cart Abandonment Notifications via Push and with sales to launch Back in Stock Notifications via SMS.

● Collaborated with Data Science to launch a chatbot that uses NLP to power contextualized conversations with customers; improved engagement and retention metrics.

● Drove critical customer learnings through A/B testing and user research to launch improved re-design of messaging.

● Partnered with Wayfair Home Services for selling and fulfilling professional assembly & installation services, through a partnership with Handy.com.

● Launched "Avg Assembly Time" icon shown before the customer checks out.

● Launched "Post Order Attachment" to add services after a purchase has been made, increasing bookings by 10%

● Streamlined product development by improving sprint planning process and adopting efficient feature prioritization frameworks.

Wayfair Apr ‘19 - Jul‘19

Software Engineer

● Built a React tool to view and modify existing Email template data for the Communications platform.

● Created APIs for endpoints to create and maintain data surrounding white labelling product SKUs.

● Collaborated with Kafka engineers to build a Kafka message stream that monitors changes to Part Data, and publishes messages detailing changes in the current state of the system.

● Populated and maintained Part Data information in cache using Aerospike to provide fast service to obtain product option combinations and its parts.

● Wrote stored procedures, functions, complex queries and optimized SQL queries to analyze SKU data and provide insights.

Accenture Dec ‘18 - Mar ‘19

Business Intelligence Engineer

● Comprehended, extracted, and massaged information from multi-terabyte data sources including sales,clickstream, logistics, product, and customer databases to deliver business insights and recommendations.

● Migrated more than 30 monthly performance Big Queries from Legacy to Standard SQL and presented data insights using Google Data Studio.

● Cleaned and reshaped quality data by using Python Pandas and Numpy Library for ETL process.

● Designed visualization of key deliverables (in MS Power BI, Tableau, Plotly, etc.) with high-interactivity & powerful drill-down features; optimized UI/UX design to enable efficient and effective insight generation for management decision making.

University of Toronto Undergraduate Research May ‘17 - Sep ‘17 Bioinformatics Intern

● Collaborated on identifying potential core genes and pathways involved in T2DM, through exhaustive bioinformatic analyses using GSE20966 microarray profiles of pancreatic β-cells obtained from healthy controls and patients with T2DM.

● Provided Flow and Mass Cytometry data analytical support in type 2 diabetes mellitus research project.

● Performed statistical modeling for cross-sectional and longitudinal data using linear regression, mixed effects models, ANOVA.

● Performed KEGG enrichment pathway analysis of DEGs associated with T2DM.

● Performed Transcription Factor enrichment analysis of key TF's involved with T2DM using WebGestalt and Enrichr software.

EDUCATION

University of Windsor 2014 - 2018

B.Sc, Computer Science

SKILLS

Product: User Research, A/B Testing(Google Optimize), Data Analysis, Planning, Strategy, JIRA, Informatica Technical: Java, React (JavaScript), SQL, AWS, PHP, HTML, CSS, R, Python, Hive Cloud:AWS (EC2, S3), Google Cloud Platform

Data Analysis:Excel, Pivot Tables, Tableau, Microsoft BI Databases:MSSQL, NoSQL, MongoDB, Hadoop, InfluxDB

CTMS:Veeva vault, Epic EHR



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