Tanusha Goswami

Crafting the data and impact strategy and story for Tailored Food's portfolio (entrepreneur partners and consulting based projects)

• Campaign MediaWeek 30 Under 30, 2023 (https://www.campaignlive.co.uk/article/media-week-30-30-2023-winners-tanusha-goswami/1824636) • Product Owner of MiQ's geo-contextual audience platform 'Cohorts' to futureproof MiQs programmatic targeting capabilities after deprecation of third-party-cookies. • Since its launch in September 2022, the UK business has transitioned 93% of their entire digital activity across all programmatic channels (60% YoY increase in cookie-less strategies) • 2B impressions and 70% of all media spend has been underpinned by Cohorts including £15M in incremental spend by forging strategic partnerships with agencies for in-house integrations. • Was presented MiQ Innovator of the Year 2022 for my contributions.

• Spearheaded advanced research and in-depth analysis towards programmatic supply path optimization potentially driving profits by 15% and unlocking new revenue streams with global agencies. Research published in Springer. • Analyzed, integrated, and enhanced multiple third-party solutions by deploying custom algorithms like classification, NLP and multi-touch attribution eliminating the need of online cookies to 0% and increasing revenue in cookie-less, privacy focused campaigns by 25%. • Consolidated data from 10+ sources (both internal and externally scraped data) streamlining the supply-side process of accessing and further analyzing data through numerous dashboards and scheduled reports decreasing 100+ hours of manual effort and automatically flagging fraudulent activity saving $100k+ globally. • Steered and strategized product development to diversify MiQ’s service catalog by drafting POCs, conducting data sanity checks, testing, and comparing new technologies which assisted the sales team to increase leads generated by 35% ♤ Tech Stack: Python, Hive, Apache Spark, Tableau, Qubole, Azure Databricks, Amazon S3, Redshift

• Owned client-side deliverables by creating dashboards for standard and novel KPIs from real time app data (NoSQL databases) reducing time to prepare reports by 50%. • 10% increase in ARPU by identifying and targeting most valuable customers, through consumer behavior analyses: RFM analysis, basket and clustering analysis, market research, and customer segmentation. • Designed, conducted, and analyzed A/B tests for the client’s app resulting in 16% uplift in app retention. ♤ Tech Stack: Python, MongoDB, PowerBI

Developed the company’s full funnel customer journey tracking tools and, end to end reporting and analytics suite accurately tracking $250K monthly revenue and saving over 25 man-hours weekly. ♤ Tech Stack: Python, Metabase, Redshift, Zapier, HubSpot, Heap Analytics, Google Ads, Google Analytics.

Implemented time series regression to estimate oil produced in a rig for GE Oil and Gas’ virtual flowmeters using unstructured historical production and ground data. Increased production accuracy by 7%. Tech Stack: MATLAB.

Worked on Hosted Collaboration and VOIP Networks. Learnt about various other networking devices such as CISCO's Call Manager, it's servers and software used.