Asmi Shanvi

About

Work

Flipkart
|

Application Engineer

Highlights

Collaborating with the Apps-Core Android Team to manage and enhance the functionality of the Android application.

Contributing to the Fast Fashion project by adding and designing new widgets to improve user engagement and experience.

AICTE
|

AI/ML Intern-AWS Academy

Highlights

Conducted in-depth analysis on extensive datasets and designed machine learning models on AWS, achieving a 15% average accuracy improvement over benchmarks.

Applied advanced algorithms, resulting in a 20% reduction in model training time and improved efficiency.

Education

SRM Institute of Science and Technology

B.Tech

Computer Science

Grade: 9.48/10.0

Delhi Public School

Class XII

Grade: 92.2%

Bharatiya Vidya Bhavan's R.K Sarda Vidya Mandir

Class X

Grade: 94.4%

Awards

Scholarship

Selected for the scholarship for the year 2020-21 based on the performance in the University Examinations.

Third Cohort of the Women Engineers Program

Awarded By

Talentsprint supported by Google

Secured 50% scholarship in top 200 students out of 27000+ applicants all over India.

Campus Ambassador

Awarded By

International Model United Nations Association

Represented the esteemeed International Model United Nations Association as Campus Ambassador

Skills

Languages

C++, C, Python, Kotlin, React Native.

Machine Learning

Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn, Scipy, TensorFlow, OpenCV, Keras.

Tools/Databases

Git, Github, AWS, VS Code, Android Studio, SQL.

Soft Skills

Communication, Analytical and Problem-Solving, Teamwork, Leadership.

Coursework

Data Structures & Algorithms, Operating System, Artificial Intelligence, DBMS, Computer Networks.

Projects

Twitter Sentiment Analysis

Summary

Tested the model using different linear and tree based models leveraging a dataset sourced from Kaggle.

Movie Recommender System

Summary

Designed and produced a movie recommendation system using Streamlit, pickle, and the TMDB API to process over 50,000 movie titles.

E-Commerce Website

Summary

Engineered a high-converting ECommerce platform from scratch using HTML, CSS, and JavaScript.