Anushka Joshi

Aspiring Machine Learning Engineer | AI/ML Student
Bhopal, IN.

About

Highly motivated and results-driven AI/ML student with a strong foundation in machine learning, deep learning, and full-stack development. Proven ability to design, develop, and deploy high-accuracy predictive models and interactive solutions, as demonstrated by projects achieving up to 95% stakeholder satisfaction and 90% model accuracy. Eager to leverage expertise in Python, TensorFlow, PyTorch, and cloud platforms to contribute to innovative ML engineering or data science roles.

Education

Vellore Institute of Technology
Bhopal, MP, India

→

B.Tech

Computer Science and Engineering (AI/ML)

Grade: 8.4/10

Shri Gurukul Higher Secondary School
Sonkatch, MP, India

→

Class XII

PCM

Grade: 87.4%

Central India Academy
Dewas, MP, India

→

Class X

Grade: 85.8%

Certificates

Computer Vision

Issued By

VITyarthi

AWS Certified Cloud Practitioner

Issued By

Amazon Web Services

Applied Machine Learning in Python

Issued By

University of Michigan (Coursera)

Skills

Programming Languages

C, C++, Python, JavaScript, HTML, CSS.

Frameworks & Libraries

React, Node, Express, Flask, OpenCV, Scikit-learn, NumPy, Pandas, Tensorflow, PyTorch, Transformers.

Development Tools

Machine Learning, Artificial Intelligence, MongoDB, SQL, Git, FAST APIs, Streamlit, MediaPipe.

Data Science & Analytics

Data Preprocessing, Feature Engineering, Model Evaluation, Classification Techniques, Hyperparameter Tuning, EDA (Exploratory Data Analysis).

Machine Learning Models

K-Nearest Neighbors (KNN), Random Forest, Decision Tree, Logistic Regression, Support Vector Machine (SVM), Transformer Models, Gesture Recognition Models.

Projects

Technical Blogging on Machine Learning

→

Summary

Published multiple technical blogs on machine learning concepts, aimed at simplifying complex topics for beginners.

Kaggle ML Competitions

→

Summary

Completed 5+ machine learning competitions including Titanic, House Prices, and Apple Financials EDA.

National Cadet Corps (NCC)

→

Summary

Ranked Sergeant and completed 400+ hours of training, earning the prestigious NCC 'A' Certificate.

Customer Churn Prediction

→

Summary

Developed and deployed a high-accuracy customer churn prediction model using advanced classification techniques, optimizing feature selection.

Harry Potter RAG Chat (Q&A System)

→

Summary

Launched a Retrieval-Augmented Generation (RAG) system using transformer models to answer Harry Potter-themed questions.

Open Source Contribution (Girl Script Summer of Code 2024)

→

Summary

Enhanced documentation for Girl Script Summer of Code 2024, creating comprehensive guides and tutorials.

MathHelp with Gestures

→

Summary

Created an interactive math learning tool leveraging hand gesture recognition with OpenCV and MediaPipe.