Rima Chakraborty

Senior Specialist - Ad Ops

Benzinga

May 2023 - May 2025 (2 years 1 month)

• Managed B2B ad sales and budgets, developed strategies, analyzed data and made adjustments based on performance based on client needs and ensured that campaigns align with their goals. • Successfully handled 68 client accounts consistently over 3 years. • Created and managed native, display, newsletters and video ad trafficking for creatives. Boosted in-article ad revenue by 18% across 2023. • Checked performance and discrepancy with third party tags on a weekly basis and liaised with the onshore team regarding campaign delivery and management of client accounts. • Experienced working with Programmatic Advertising technologies like DSPs, SSPs and RTB. • Site inventory comparison and ran inventory forecasts for future needs ( in Goog

Ad Ops Specialist

Benzinga

Feb 2022 - Apr 2023 (1 year 3 months)

• Set up the AdOps team from scratch and independently led the setup, monitoring, and process optimization of media campaigns, ensuring maximum ROI and achieved an overall 20% increase in campaign efficiency. • Implemented and structured data for creative management, trafficking QA, troubleshooting and client follow ups.

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Ad Yield Analyst

Seeking Alpha Remote

Feb 2019 - Dec 2021 (2 years 11 months)

• Successfully handled 24 client accounts consistently over 2 years. • Processed Insertion Orders & Media Plans. • Set up, trafficked, and managed campaigns (display, native, newsletters, and video) on DFP/Google Ad Manager, LiveIntent, and Megaphone. • Live QA on website and screenshots. • Creative management, trafficking QA, and troubleshooting. • Managed revisions & optimizations followed by monthly billing using Boostr and Salesforce. • Campaign delivery & performance reporting and yield analysis in DFP. • Additionally, leveraged LinkedIn Ads to enhance B2B campaign performance, integrating insights from these campaigns into overall yield analysis and optimization strategies.

Business Analyst

Genpact

Jul 2016 - Jan 2019 (2 years 7 months)

• Developed Market Mix Modelling and Forecast models based on ARIMA etc. using SAS Forecast Studio to predict numbers and trends of various KPIs for booking & website by analyzing historical data of last fiscal years. • Prepared and explored huge DMA based segregated data from Teradata, • Ran iterative SAS models based on Linear and Logistic Regression to account the contribution of different promotional tactics to net number of bookings for a leading US based Entertainment Conglomerate • Evaluated various promotional activities and offer data carried out by calculating ROIs and effectiveness helping client to optimize the spending in future promotional drivers. • Coordinated with US based clients and ensured smooth delivery of the pro

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