Sathvik Pidugu

AI Researcher

Jacksonville, Florida, United States0 mo experience

Key Highlights

  • Passionate about product development and data analytics.
  • Skilled in building data-driven insights for product strategies.
  • Experienced in user research and market analysis.
Stackforce AI infers this person is a Data Science and Product Development professional with a focus on E-commerce and Healthcare.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

Data VisualizationMicrosoft AzureData EntrySpreadsheetsMySQLStatistical Data AnalysisPython (Programming Language)Deep LearningStatisticsSQLData StructuresMicrosoft OfficeQuery LanguagesAnalytical SkillsObject-Oriented Programming (OOP)

About

Welcome to my space on LinkedIn 😊 I’m passionate about product development and data analytics, always asking 'why' to create products that not only improve but also simplify users' lives. Collaborating with experts, talking to customers, understanding their challenges, and experimenting with solutions—these are the aspects of the product development process that excite me the most. I have a broad skill set that I am happy to share: 📊 Technical Proficiency - Skilled in Tableau, Power BI, SQL,Python, R programming, Excel, XML, and Jira, I utilize these tools to drive data-driven insights and optimize product strategies. 👤 User Research & Problem Framing - Understanding customer needs is essential for delivering meaningful value. 🔍 Market Research & Competitive Analysis - While copying competitors isn't a strategy, staying informed about their moves is crucial. 💡 Ideation & Experimentation - I believe in moving fast, testing ideas, and learning quickly to innovate effectively. 🤗 Empathy & Listening - Truly understanding customers, stakeholders, and team members leads to better products and stronger collaboration. 📋 Agile, Lean & Design Thinking Methods - A growth mindset and adaptability are key to advancing product development and learning from each iteration. ⏳ Prioritization -It’s not just about adding features; it’s about deciding what to leave out to create the best possible product.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Learnflowservices

Data Science Intern

Feb 2024Jul 2024 · 5 mos

  • Build a fraud detection system using datasets of e-commerce transactions, aiming to identify and prevent fraudulent activities in online purchases.
  • Developed a model to predict the likelihood of approval for health insurance claims using historical claims data, improving efficiency in the approval process.
  • Analysed social network data to identify influential users and community structures, providing insights for community management and engagement strategies.
Data VisualizationMachine LearningData Science

Education

University of North Florida

Master of Science - MS — Business Analytics

Aug 2024May 2026

National Institute of Technology Calicut

Bachelor of Technology - BTech

Jan 2018Jan 2023

Sri Chaitanya College of Education

Board of Intermediate education

Jun 2016Apr 2018

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