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Kajal HoodaKH
Open to opportunities

Kajal Hooda

@kajalhooda

Marketing automation and email marketing specialist leveraging Salesforce to deliver high-performing campaigns end-to-end.

India
Message

What I'm looking for

I’m looking for a role where I can own Salesforce-based marketing automation and email programs end-to-end—building responsive emails and journeys, running QA, collaborating with stakeholders, and continuously improving reporting and lead nurturing outcomes.

I’m a Marketing Automation and Email Marketing Specialist with 2+ years of experience delivering end-to-end email campaigns using Salesforce Marketing Cloud, Salesforce Account Engagement (Pardot), and Data Cloud. I execute campaign execution end-to-end—from responsive HTML emails and landing pages to segmentation, lead nurturing, campaign QA, and reporting for enterprise clients.

I’ve supported 50+ B2B marketing and customer engagement campaigns, completed 100+ email deployments, and developed 100+ landing pages. I also implemented prospect-to-lead conversion automation in Pardot and Salesforce, reducing manual effort by approximately 80%, and I’ve been a primary marketing automation resource for Kirkland & Ellis for 6+ months post-hypercare.

Experience

Work history, roles, and key accomplishments

DU
Current

Associate Analyst

Deloitte USI

Jan 2024 - Present (2 years 6 months)

Executed end-to-end marketing campaigns in Salesforce Marketing Cloud and Salesforce Account Engagement, from setup through deployment and post-launch validation. Built responsive email templates, landing pages, and forms; implemented lead nurturing and prospect-to-lead automation; and handled campaign QA and production issue resolution.

Education

Degrees, certifications, and relevant coursework

Banasthali Vidyapith logoBV

Banasthali Vidyapith

Bachelor of Computer Applications, Computer Applications

Grade: CGPA: 9.83

Bachelor of Computer Applications at Banasthali Vidyapith (CGPA: 9.83).

Jain University logoJU

Jain University

Master of Computer Applications, Artificial Intelligence & Machine Learning

Grade: CGPA: 9.72

Master of Computer Applications (Artificial Intelligence & Machine Learning) at Jain University (CGPA: 9.72).

Tech stack

Software and tools used professionally

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