Sneha Saini

Product Manager

Faridabad, Haryana, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Engineered a high-performance social networking engine.
  • Improved user engagement metrics by 30%.
  • Created Power BI dashboards enhancing decision-making.
Stackforce AI infers this person is a Full-Stack Developer with a strong focus on Data Analytics and Web Applications.

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Skills

Core Skills

Data AnalysisData VisualizationFull-stack DevelopmentWeb Applications

Other Skills

SQLExcelPower BIReactFirebaseFirestoreNoSQLAPIDeploymentBERT (Language Model)Data ScienceTableauTime Series AnalysisDashboard MetricsHTML

About

Software Engineer and B.Tech Computer Science student (2026) with strong expertise in Data Structures, Algorithms, and Full-Stack Development (MERN Stack). Experienced in building scalable web applications and AI-powered systems using React.js, Node.js, Express.js, MongoDB, Python, and Machine Learning models. Skilled in designing REST APIs, JWT authentication, and cloud-based deployments. Passionate about developing efficient, high-performance systems and solving real-world engineering problems.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Escorts kubota limited

2 roles

Data Analytics Intern

May 2025Jul 2025 · 2 mos

  • Analyzed user engagement metrics via Analytics, identifying trends that improved engagement by 30%.
  • Streamlined reporting using SQL and Excel, reducing manual effort by 20%.
  • Created Power BI dashboards for tracking KPIs, improving decision-making accuracy by 15%.
SQLExcelPower BIData AnalysisData Visualization

Software Engineer Intern

May 2024Jul 2024 · 2 mos

  • Engineered e-Connect, a high-performance social networking engine using React and Firebase, facilitating realtime data synchronization for enterprise-level interaction.
  • Optimized backend latency by 25% by implementing efficient indexing in Firestore and refactoring redundant
  • API calls.
  • Scaled the system to support 1,000+ concurrent simulated users through modular architecture and structured
  • NoSQL schema design.
  • Boosted user engagement metrics by 30% through the implementation of a dynamic, personalized activity feed.
  • Automated deployment workflows using Firebase Hosting, reducing feature release cycles by 15%
ReactFirebaseFirestoreNoSQLAPIDeployment+2

Education

Sharda University

Bachelor of Technology - BTech — Computer Science

Aug 2022May 2026

Rawal International School

Intermediate — Non- Medical

May 2020Mar 2022

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