Open to Summer Internship 2026 Β· 1 Month

Anshika Chauhan

AI & Data Science Undergraduate - Aspiring AI Product & Analytics Professional

8.3 CGPA
5+ Key Projects
10+ AI Tools Used
Jun 2026 Available From
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Professional Summary

AI & Data Science undergraduate with a CGPA of 8.3 , bringing a strong foundation in data analysis, AI systems, and cross-domain problem solving. Proven ability to translate complex technical concepts into actionable insights. Seeking to contribute in AI product, business analytics, or AI strategy roles where analytical thinking and domain knowledge drive real-world impact - leveraging AI tools to deliver results efficiently and creatively.

πŸ† Academic Achievement

8.3 CGPA

B.Tech AI & Data Science Β· Amrita Vishwa Vidyapeetham, Delhi NCR Β· 2024–Present (completed 2nd Year)

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Key Projects (Framed for Business Impact)
AttendEase – Analytics Dashboard & NLP Chatbot
Academic Project
2024–25
  • Designed a multi-role web platform (Faculty / Student / Admin) with real-time attendance analytics, threshold alerts, and automated defaulter detection β€” equivalent to a product analytics dashboard.
  • Built a keyword-based NLP chatbot supporting 10+ business intents, backed by live database queries β€” demonstrating product thinking and user-centric design.
  • Used AI tools to rapidly prototype UI flows and validate database schema decisions.
πŸ€– AI Angle: Leveraged AI tools to rapidly prototype UI flows and validate database schema decisions, cutting development iteration time significantly.
Multi-Modal Defect Analysis – Semiconductor Industry
Academic Project
2024–25
  • Built a 3-stream analytics framework combining computer vision, sensor data, and a digital twin simulation to classify wafer defects (PASS / REWORK / FAIL) β€” a real-world quality analytics use case.
  • Produced explainable insights using SHAP and Grad-CAM, mirroring how a BI analyst translates model outputs into business decisions.
πŸ’Ό Business Impact: Quality analytics framework directly applicable to manufacturing efficiency and cost reduction reporting.
SkyFare India – Flight Fare Prediction & Pricing Model
Academic Project
2024–25
  • Developed a pricing prediction model for airline fare trends using ML regression techniques and feature engineering on real-world flight datasets.
  • Built interactive dashboards to visualize route-wise fare patterns, enabling data-driven pricing strategy insights.
πŸ“Š Analytics Angle: Direct application to revenue management and dynamic pricing strategy analytics in travel/fintech sectors.
IoT-Based Health Monitoring System
Academic Project
2024–25
  • Designed a real-time patient monitoring system integrating IoT sensors with ThingSpeak cloud platform for live data visualization.
  • Implemented threshold-based alert system for critical health parameters β€” demonstrating product thinking for healthcare analytics.
πŸ₯ Domain: Healthcare AI & IoT β€” directly applicable to digital health, remote monitoring, and clinical analytics products.
Signal Processing & Robotics Control System
Academic Project
2024–25
  • Implemented digital signal processing algorithms for sensor data filtering and noise reduction in robotics applications.
  • Designed and simulated control logic for autonomous navigation modules, applying data-driven decision-making principles.
πŸ€– Application: Foundation for AI/ML-driven automation analytics and embedded systems product roles.
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What I Bring to an Internship
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Data-Driven Thinking
EDA, KPI dashboards, SQL queries, and clear visual storytelling
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AI-Powered Productivity
Proficient with 5+ AI tools to accelerate research, prototyping & analysis
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Cross-Domain Knowledge
Fintech, healthcare, semicond. manufacturing, IoT β€” broad problem-solving lens
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Fast Learner, High Output
5+ complex projects in Year 1 β€” proven ability to ship results under constraints