Reddy Kheerthi Jampula

About Reddy Kheerthi Jampula

Data-driven Digital Marketing Analyst with 4+ years of experience optimizing campaign performance, user journeys, and revenue growth across healthcare and financial services domains.I specialize in leveraging analytics, automation, and experimentation to drive measurable business impact—executing 1,200+ campaigns per quarter and delivering over $200K in quarterly ROI improvements.My expertise spans SQL, Python, Power BI, Tableau, HubSpot, and Google Analytics, with a strong focus on A/B testing, attribution modeling, and marketing automation.I am passionate about transforming complex data into actionable insights, enhancing customer experiences, and building scalable marketing solutions that improve conversion rates and overall performance.Currently seeking opportunities to apply advanced analytics and digital marketing strategies to drive growth and innovation.

Experience

1. Digital Marketing Analyst

   PNC

   Nov 2024 — Present · US

   Engineered and deployed scalable, machine learning–driven segmentation and predictive lead scoring models using Python and SQL, enabling the execution of 1,200+ hyper-personalized healthcare campaigns per quarter and significantly increasing lead-to-consultation conversionratesAnalyzed and modeled multi-channel user behavior using Google Analytics, Mixpanel, and advanced SQL queries, identifying high-intent user patterns and improving patient journey flows, which resulted in a 2.5× increase in high-value portal logins month-over-monthOptimized cross-channel paid marketing campaigns (Google Ads, Meta Ads, LinkedIn Ads) using data-driven budget allocation andperformance modeling, generating $200K+ incremental ROI per quarter through continuous bid optimization and audience refinementArchitected and automated end-to-end marketing workflows using HubSpot and Marketo APIs and automation frameworks, reducing manual operational workload by 65%(from 6 hours/day to under 2 hours/day) while improving lead response time and nurturing efficiencyDesigned and implemented real-time Tableau dashboards integrated with SQL pipelines, enabling stakeholders to monitor acquisition, retention, and engagement KPIs dynamically, leading to faster executive decision-making and campaign optimization cyclesLed large-scale A/B and multivariate experimentation frameworks across landing pages and email campaigns, leveraging statistical analysis to improve conversion performance, resulting in a 2.8× increase in form submissions and reduced drop-offsDeveloped and deployed Python-based predictive models for campaign performance forecasting and patient retention analysis, improving targeting precision and enabling proactive engagement strategies across marketing funnelsImplemented advanced SEO and SEM strategies using Google Tag Manager and keyword performance analytics, increasing high-intent organic search impressions from to per month (114% growth)

Education

• Gyanavapi junior college

  Intermediate

• Sacred Heart University

  Master of Engineering - MEng, Data Science

• Sri Indu College Of Engineering & Technology

  Bachelor of Technology - BTech, Electronics and communication engineering

  2019 — 2023

• Bharathi Vidya bhavan high school

  Schooling

• NxtWave

  fellow at Nxtwave CCBP 4.0 Intensive