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Anu2711/README.md

Hi there, I'm Anusha 👋

I'm a Data Scientist at a Network International in Dubai, U.A.E., passionate about using data to solve real-world problems. I recently graduated from the University of Waterloo where I majored in Data Science and minored in Economics.

I love seeing how data is applied in the real world across different industries and have made it a point to explore companies in various sectors—from transit at RideCo, to e-commerce at Babylist, and now in the fintech space at Network International. This diverse experience has given me a unique perspective on how data-driven solutions can transform businesses across different domains.

🛠️ Technical Skills

🔬 CI

CircleCI

💾 Databases

MicrosoftSQLServer MySQL Postgres SQLite

📚 Frameworks, Platforms and Libraries

Apache Spark Apache Kafka Django Flask Snowflake

☁️ Hosting/SaaS

AWS Azure

📋 Languages

C++ LaTeX Python R

🖥️ ML/DL

Matplotlib mlflow NumPy Pandas PyTorch scikit-learn TensorFlow

🥅 Other

Docker Kubernetes Power Bi Terraform

🗄️ Servers

Apache Airflow

🎯 Featured Projects

Multi-Modal Classifier: A deep learning model that classifies fashion items into 27 categories using noisy text descriptions, images, and categorical variables. Demonstrates advanced feature fusion techniques.

Housing Price Prediction: End-to-end regression analysis using Linear Models, Splines, and Random Forest to predict housing prices with comprehensive EDA in R.

NLP with Disaster Tweets: Binary classification system to identify real disaster tweets using NLP techniques and deep learning.

WhatsApp Chat Analysis: Text analytics tool to extract insights and patterns from WhatsApp conversations.

📫 Let's Connect!

I'm always interested in collaborating on data science projects, discussing ML techniques, or exploring new opportunities!

💼 LinkedIn

📧 Email

Popular repositories Loading

  1. Housing-Price-Prediction Housing-Price-Prediction Public

    Conducted an EDA and created models to predict housing prices using Linear Models, Splines and Random Forest in R

    1

  2. Multi-Modal-Classifier Multi-Modal-Classifier Public

    Trained a multi-modal machine learning model that classifies fashion items into 27 categories by utilizing noisy text descriptions, noisy images, and categorical variables

    Jupyter Notebook 1

  3. WhatsApp-Chat-Analysis WhatsApp-Chat-Analysis Public

    A nostalgic first-year university project that turns WhatsApp chat exports into beautiful data stories.

    Jupyter Notebook 1

  4. NLP-with-Disaster-Tweets NLP-with-Disaster-Tweets Public

    NLP Classification to classify tweets as disaster/non-disaster

    Jupyter Notebook 1

  5. domain-ready-show domain-ready-show Public

    Lovable generated website for my dad's construction company portfolio

    TypeScript

  6. Anu2711 Anu2711 Public