Dhriti GadaDG
Open to opportunities

Dhriti Gada

@dhritigada

Aspiring product manager with expertise in data-driven decision making.

United States

What I'm looking for

I am looking for a dynamic role that fosters innovation and collaboration.

I am a dedicated product manager with a strong foundation in technology and analytics, currently pursuing a Master of Information Systems Management at Carnegie Mellon University. My academic journey has been marked by a consistent record of excellence, including being on the Dean's List and earning a Certified Scrum Product Owner certification. I have honed my skills in data science, product management, and agile methodologies, which I leverage to drive impactful product strategies.

In my professional experience, I have successfully led cross-functional teams in various roles, including as a Product Manager Intern at SuperWorld and Co-Founder at Timeli. My work has involved optimizing product performance through data analytics, implementing innovative solutions, and driving significant revenue growth. I am passionate about creating user-centric products that not only meet market demands but also enhance user experience and engagement.

With a proven track record of achieving substantial results, such as a 60% increase in e-commerce engagement at Harley Davidson and a 500% revenue increase at Timeli, I am eager to bring my expertise in product management and analytics to a forward-thinking organization. I thrive in collaborative environments where I can contribute to strategic initiatives and drive product innovation.

Experience

Work history, roles, and key accomplishments

SU

Product Manager Intern

SuperWorld

May 2024 - Jul 2024 (2 months)

As a Product Manager Intern at SuperWorld, I leveraged analytics tools to optimize product performance and inform strategic decisions. I collaborated with cross-functional teams to develop a digital marketplace for crypto collectibles, enhancing customer traction through data-driven metrics.

TI

Co-Founder & VP of Product

Timeli

Aug 2022 - May 2024 (1 year 9 months)

At Timeli, I orchestrated the development of a platform that matched recruiters with job seekers. I led strategic initiatives, executed a go-to-market strategy, and drove significant revenue growth through data-driven decision-making and feature optimization.

HC

AI Product Manager

Harley Davidson Motor Company

Sep 2023 - Nov 2023 (2 months)

In my role as AI Product Manager, I utilized advanced analytics tools to analyze social media data, driving targeted advertising strategies. My efforts resulted in a 60% increase in e-commerce engagement within four months.

DI

Analyst

Deloitte India

Oct 2022 - Jun 2023 (8 months)

As an Analyst at Deloitte, I developed SOPs for data migration projects and implemented SAP technologies to enhance user experience. My role involved leading data migration strategies and ensuring data integrity through ETL processes.

VL

Product Manager

Volga InfoTech Pvt. Ltd.

Jul 2020 - Jul 2022 (2 years)

At Volga InfoTech, I led a team to develop a crowdfunding application, enhancing product quality and driving significant revenue growth. I implemented agile methodologies to streamline product development and improve user engagement.

Education

Degrees, certifications, and relevant coursework

Carnegie Mellon University logoCU

Carnegie Mellon University

Master of Information Systems Management, Information Systems Management

2023 - 2024

Grade: 3.73/4.0

Pursuing a Master of Information Systems Management with a focus on data science and product management. Key achievements include being on the Dean's List and obtaining certification as a Scrum Product Owner. Relevant coursework includes Data Science for Product Managers, Agile Methods, and Digital Service Innovation.

Thadomal Shahani Engineering College logoTC

Thadomal Shahani Engineering College

Bachelor of Engineering, Information Technology

2018 - 2022

Grade: 9.83/10

Completed a Bachelor of Engineering in Information Technology with a strong academic record, achieving Dean's List recognition. The program included coursework in Python, R Programming, SQL, and Big Data Analytics.

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