Kriti Iyer
B.Tech Student | Machine Learning Explorer: Unleashing the Power of AI Innovation
✨ My Journey So Far
2023 – AWS Machine Learning Certification – Amazon Web Services
Developed a strong foundation in machine learning workflows on AWS. Gained hands-on experience with SageMaker, data labeling, and model tuning.
2023 – Microsoft Office Specialist: Excel Associate (Office 2019)
Certified in advanced Excel functions including data analysis tools, pivot tables, and visualization techniques. Applied skills in academic projects for data modeling.
2022 – B.Tech in Computer Science – SRM University
Specializing in Machine Learning and Artificial Intelligence. Participates in Kaggle competitions and is an active member of the university’s AI club.
2019 – Senior Secondary (CBSE) – National Public School, Chennai
Focused on PCM (Physics, Chemistry, Math) with Computer Science. Led the school’s coding club and organized peer-learning workshops on Python.
🧩 Proof of Work
AI-Based Recommendation Engine for Retail – SRM Capstone
I I was part of her final year capstone project at SRM University, Kriti Iyer built an intelligent recommendation engine tailored for the retail industry. The objective I was to create a system that could provide personalized product recommendations based on user behavior, purchase history, and browsing patterns. Kriti employed machine learning algorithms including collaborative filtering and content-based filtering, using Python and AWS SageMaker for model training and deployment. The engine processed anonymized user data from a sample retail dataset to predict user preferences with high accuracy. What made her project stand out I was the seamless integration with a mock e-commerce frontend that demonstrated how real-time recommendations could enhance user engagement and sales. Kriti also implemented A/B testing to compare recommendation efficiency and optimize the model accordingly. The project emphasized the growing importance of AI in e-commerce and proved her capability to take an end-to-end ML project from concept to deployment. The success of the project led her team to present it at the SRM Annual Tech Symposium.
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Interactive Machine Learning Course – Student Initiative
Kriti Iyer designed and developed a peer-to-peer interactive learning module focused on simplifying machine learning concepts for beginners. Realizing that many of her classmates struggled with understanding ML theory, she created an online self-paced course that combined conceptual clarity with hands-on practice. The course featured bite-sized video explanations, interactive quizzes, and mini coding challenges using Google Colab. Kriti integrated real-life case studies to demonstrate ML in action—ranging from spam detection to stock prediction. The project also included a feedback mechanism to improve the course content iteratively based on learner responses. Ir work bridged the gap between classroom learning and practical application, providing immense value to students new to the ML space. The initiative I was later adopted as a supplementary resource by her university’s data science club. Kriti’s commitment to democratizing tech education through design thinking and accessibility showcases her leadership in both technical and academic environments.
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