Priyanka Avasarala
@priyankaavasarala
Product & Data Strategy Professional with 7+ years of experience.
What I'm looking for
As a Product & Data Strategy Professional with over 7 years of experience in high-growth tech environments, I excel in blending product analytics with technical fluency and marketing impact. My expertise lies in crafting data-driven go-to-market narratives and effectively communicating with technical audiences. I have a proven track record of driving product adoption and performance through clear messaging, campaign execution, and stakeholder engagement.
Currently, I serve as the Product Data Analyst Team Lead at Phenom, where I lead the development of an AI chatbot and drive go-to-market strategies by aligning product functionality with user behavior insights. My role involves translating complex data into actionable narratives for both business and technical audiences, ensuring that our product offerings resonate with users. I have successfully directed a high-impact annotation team, generating over $2M in revenue and optimizing processes to enhance productivity significantly.
Previously, I worked at Amazon as a Machine Learning Data Associate, where I developed Tableau dashboards and operational metrics reports that improved peer performance by 40%. My contributions to foundational AI pipeline development and my ability to bridge language and model performance have been instrumental in enhancing the quality of our machine learning projects. I am passionate about leveraging data to drive strategic decisions and foster cross-functional collaboration.
Experience
Work history, roles, and key accomplishments
Product Data Analyst Team Lead
Phenom
Apr 2022 - Present (3 years 3 months)
Led the development of Annotation X+, a conversational AI chatbot, and drove its go-to-market strategy by aligning product functionality with user behavior insights. Communicated performance insights across organizational layers, translating data into actionable narratives for business and technical audiences.
Machine Learning Data Associate
Amazon
Apr 2017 - Mar 2022 (4 years 11 months)
Developed Tableau dashboards and operational metrics reports to communicate trends across ML projects, improving peer performance. Worked closely with Alexa’s ML and science teams to annotate, curate, and improve NLU models, translating linguistic models into usable formats for downstream technical teams.
Education
Degrees, certifications, and relevant coursework
Pragati Engineering College
Bachelor of Technology, Information Technology
Activities and societies: Coordinator for EPROZYNE (national tech symposium)
Completed a final year project on file-sharing security through encryption, demonstrating a strong blend of development and system architecture skills. Coordinated EPROZYNE, a national tech symposium, where responsibilities included event messaging, branding, and speaker logistics.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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