Soham Patel Email & Phone Number

New York, Ny, Us

San Francisco, California, Us

Boston, Ma, Us

• Lead a team of 8 analysts within the Storefront organisation, collaborating closely with stakeholders and driving initiatives focused on Customer Promise, Buyer Experience, Seller Experience, Search, and Search Ads.• Partner cross-functionally with Product Managers and Strategy Partners, offering quantitative analysis for tasks such as Problem Discovery & Validation, Opportunity Sizing, Experimentation, and Go-To-Market (GTM) Strategy.• Conceptualised the 'Shop the Sale' sponsored banner ad through data discovery and insights, handling end-to-end data support and testing, resulting in a 40% increase in resale GMV and $300M in annual revenue.• Spearheaded the idea of Multi-Badging initiatives through data analysis, leading the planning and execution of six A/B tests, resulting in a 15% increase in CTRs and a 10% boost in add-to-cart rates.• Partnered with product teams to design and optimise Carousel Ads, utilising data analysis to improve targeting and engagement, achieving a 12% increase in CTR and 7% boost in ad revenue.

Austin, Tx, Us

• Lead from Inception to Implementation, company’s 1st ever digital marketing acquisition channel: Targeted ads on Credit Karma, increasing acquisition volume by 130%.• Introduced the ‘1 Click Apply’ feature on Mercury Card ads, resulting in 300% increase in credit card applications.• Performed a series of 3 A/B test on digital ads to test how credit offers (APR and credit line) influence customer application decision, increasing applicants by 56%.• Served as the Product Lead for the launch of two digital marketing acquisition products: Email Targeting and Lending Tree. This involved overseeing the development, strategy, and implementation of these products.

Austin, Tx, Us

• Designed a machine learning-based acquisition strategy, boosting direct mail campaign conversion rates from 1.7% to 4.6% and acquiring 40k new customers in Q2 2020.• Deployed Mercury’s first cloud-based machine learning pipeline for targeted ads on Credit Karma, streamlining operations and optimising campaign performance.• Re-designed the short-term and long-term risk models to accurately quantify user financial risks, improving credit decisions, annualised impact of $120MM.• Designed the credit strategy for a new credit card product, determining APRs and credit limits for each approved Credit Card applicant.• Awarded "Detail Director – 2019" for outstanding performance and contributions to data-driven initiatives.

Austin, Tx, Us

• Built a Response Score Model using Python, Coarse Classing, and Logit Regression to predict conversion rates for marketing campaigns, enabling tailored credit offer designs.• Designed and automated monthly model governance processes, including Characteristics Analysis and Population Stability, using Python, SAS, Redshift, and Tableau, improving efficiency and accuracy.• Optimised the daily processing of TransUnion and Equifax data files, reducing average runtime from 113 minutes to 18 minutes, enhancing operational performance.

Austin, Texas, Us

At OnRamps, I led a segmentation project using K-Means clustering to group Texas education institutes by their educational and logistical needs, enabling tailored programs that boosted engagement and satisfaction. I developed Tableau dashboards to track key performance indicators (KPIs) and analyze monthly performance data, empowering stakeholders with actionable insights. Additionally, I conducted workshops on data analysis with Excel and Python, equipping educators with practical analytical skills to enhance their impact.

Dubai, Dubai, Ae

As a Product Analyst, I analysed key performance metrics such as CPC, CTR, CPM, and revenue across global ad campaigns to optimise strategies and drive higher returns. By conducting in-depth data analysis, I identified trends and user behaviour, leading to a 15% improvement in campaign efficiency through enhanced ad placements. I developed and maintained performance dashboards to monitor campaigns, providing actionable insights that empowered stakeholders to make data-driven decisions. Additionally, I collaborated with sales and account management teams to deliver customised solutions for advertisers, significantly enhancing client satisfaction and retention.

Developed and maintained Java-based backend systems for McDonald's online ordering platform, ensuring seamless performance and reliability. Collaborated with teams to troubleshoot issues, improving system efficiency and user experience.

Master Of Science - Ms, Information Science/Studies

Bachelor’S Degree, Information Technology