Arjun S.

Arjun S. Email and Phone Number

Senior Product Manager, Fulfilment @ Pattern®
Salt Lake City, UT, US
Arjun S.'s Location
Pittsburgh, Pennsylvania, United States, United States
About Arjun S.

Currently building Direct to Consumer and 3PL products at Pattern.Over the past few years, I’ve built products that have scaled businesses and impacted millions of users. From launching a trading platform to its first million customers in three quarters at TradeX, to leading pricing operations for Asia’s second-largest ride-sharing firm, OLA Cabs, I thrive in creating scalable solutions in gig economy marketplaces and eCommerce platforms.My background includes a Computer Science degree and a Master’s in Product Management from Carnegie Mellon University. Throughout my journey, I’ve focused on building end-to-end product solutions—from automating complex workflows that increase operational throughput to launching customer engagement features that drive repeat purchases.I enjoy building products that solve real problems, scale rapidly, and make a meaningful impact.If you are a business looking to scale and expand your offerings, let's connect!

Arjun S.'s Current Company Details
Pattern®

Pattern®

View
Senior Product Manager, Fulfilment
Salt Lake City, UT, US
Website:
pattern.com
Employees:
1743
Arjun S. Work Experience Details
  • Pattern®
    Senior Product Manager, Fulfilment
    Pattern®
    Salt Lake City, Ut, Us
  • Pattern®
    Senior Product Manager
    Pattern® Jan 2024 - Present
    Lehi, Utah, Us
  • Pattern®
    Product Manager (Intern)
    Pattern® May 2023 - Aug 2023
    Lehi, Utah, Us
    Building Warehouse SaaS that runs the largest 3P Seller on AmazonTo thrive in the $200 billion Direct-to-Consumer market, brands require the capability to distribute products economically, ensuring reliability, and to personally engage their customers. I led a team of UX researchers, designers and developers to cater to both the requirements. Through carrier integrations, I facilitated brands in expanding their reach to 60 additional countries across 10 marketplaces. Additionally, I implemented Machine Learning features that significantly enhanced warehouse efficiency by preemptively identifying and isolating error orders, resulting in a remarkable 30% increase in order throughput and a 98% on-time fulfilment rate across our six global warehouses. In support of our brands' customer engagement efforts, I developed a feature that enables brands to deliver targeted promotions to their customers, resulting in a substantial 17% increase in customer retention.
  • Tradex
    Growth Product Manager
    Tradex May 2022 - Dec 2022
    New Delhi, Delhi, In
    Taking India's first opinion trading platform to a million usersAt TradeX, our goal was not merely to dominate the opinion trading market but also to expand it into adjacent markets such as fantasy sports. Our objective was to increase visibility in the gaming market and provide a seamless, trustworthy trading experience to incentivize user engagement and learning. To accomplish this,I led a team of marketers, designers and developers to systematically improve platform visibility and performance. To increase awareness, we strategically secured a position on Google Play Store's Gaming Trial in India, thereby instantly boosting user confidence and expanding our user base. We confronted adoption challenges head-on by nurturing the TradeX community and introducing initiatives such as TradeX Academy and Gamified User Onboarding. To address issues related to system crashes during demand spikes, we ensured a 99% system uptime by rewriting our backend in GoLang and enhancing the user experience with React, creating a unified platform for both mobile and desktop applications. Finally, we resolved delayed customer complaints by seamlessly integrating a third-party CRM, resulting in a significant reduction in resolution times to just hours, and offering 24x7 chat support.
  • Supr Daily By Swiggy
    Product Manager, Recommendation And Personalisation
    Supr Daily By Swiggy Nov 2021 - May 2022
    Bengaluru, Karnataka, In
    Optimizing the core shopping experience and monetizing customer data As the owner of our data products, I focused on scalability and revenue growth. A major challenge faced by Product and Design included poor hypothesis testing and slow results, which hindered product development. I led efforts to create a system for running concurrent A/B tests, enabling faster iterations. The platform was leveraged to identify the right search vendor and became the biggest needle mover that quarter. I then turned my attention to leveraging data to boost platform revenue. Collaborating with data science and engineering, we developed a checkout recommendation system that increased order size by 6%. I also mentored analysts, expanding our exploration and supply chain capabilities, and strengthening our position as an industry leader in online grocery delivery.
  • Supr Daily By Swiggy
    Analytics Lead
    Supr Daily By Swiggy Jun 2021 - Nov 2021
    Bengaluru, Karnataka, In
    Helping product, business and operations make informed decisions. As the analytics leader for the storefront, I drove data-driven decisions across product and business operations. I crafted universal personas in collaboration with marketing that eventually became the stencil for business. I also created a pricing and promo generator tool that reduced serving costs by 20%, minimizing the liquidation of expiring inventory and supporting operations effectively.
  • Ola (Ani Technologies Pvt. Ltd)
    Pricing Lead
    Ola (Ani Technologies Pvt. Ltd) Feb 2020 - Jun 2021
    Bengaluru, Karnataka, In
    Making travel affordable and accessible for 1.5 million customers, everydayMy mission at Ola was to make travel more affordable for our customers. Leading pricing operations across four countries, I implemented a series of strategies to achieve this objective. Using advanced Machine Learning Algorithms, I optimised pricing by analysing vast amounts of data, evaluating demand and supply through geo-hashes. This approach not only enhanced driver acceptance rates but also ensured more completed trips. I also introduced prepaid ride passes for Pool users, boosting user engagement. To tackle driver scarcity during peak hours, I implemented heat maps to guide drivers effectively, improving the overall customer experience. During the pandemic, I launched an emergency service across 60+ cities, providing essential healthcare access to our valued customers. These initiatives not only maintained Ola's competitive edge but also empowered two million customers to travel affordably and conveniently.
  • Schneider Electric
    Business Intelligence
    Schneider Electric Jul 2018 - Feb 2020
    Rueil Malmaison, Paris, Fr
    Enhanced digitalization objectives of Schneider Electric by furnishing Marketing, Sales, and C-level executives with comprehensive insights spanning NAM, EUR, and APAC regions. Simplified Tableau licensing processes across 32 operational countries. Ensured data governance was implemented and in accordance with GDPR.
  • National Stock Exchange Of India Limited
    Financial Analyst
    National Stock Exchange Of India Limited Jan 2018 - May 2018
    Mumbai, Maharastra, In
    Co-authored a white paper to automate the process of building a stock market index.

Arjun S. Skills

Python Data Analysis R Mongodb Front End Development Finance Tableau C++ C Cascading Style Sheets Cdrs Sentiment Analysis

Arjun S. Education Details

  • Carnegie Mellon University
    Carnegie Mellon University
    Product Management
  • Vellore Institute Of Technology
    Vellore Institute Of Technology
    Computer Software Engineering

Frequently Asked Questions about Arjun S.

What company does Arjun S. work for?

Arjun S. works for Pattern®

What is Arjun S.'s role at the current company?

Arjun S.'s current role is Senior Product Manager, Fulfilment.

What schools did Arjun S. attend?

Arjun S. attended Carnegie Mellon University, Vellore Institute Of Technology.

What skills is Arjun S. known for?

Arjun S. has skills like Python, Data Analysis, R, Mongodb, Front End Development, Finance, Tableau, C++, C, Cascading Style Sheets, Cdrs, Sentiment Analysis.

Who are Arjun S.'s colleagues?

Arjun S.'s colleagues are Rushikesh Neve, Dragana Milosavljević, Hana Bermingham, Jovana Stevic, Rob Myers, Ansh Thakkar, Jana Dumas.

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