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Anjali12213443/README.md

Hi, I'm Anjali Velu Ramalingam

MS in Data Science & Analytics | AI Minor
Passionate about building end-to-end ML systems that solve real-world problems

About Me

  • Master's in Data Science & Analytics with a minor in Artificial Intelligence
  • Currently building a portfolio of end-to-end Data Science and MLOps projects
  • Focused on Machine Learning, Deep Learning, Data Engineering, and MLOps
  • Based in Florida, USA
  • Open to roles in Data Science, Data Analytics, and Data Engineering

Tech Stack

Programming Languages Python SQL PySpark

Machine Learning & AI Scikit-learn XGBoost PyTorch TensorFlow LSTM

MLOps & Experiment Tracking MLflow FastAPI Streamlit Docker Jenkins

Data Engineering & Databases Apache Spark Apache Kafka MySQL PostgreSQL BigQuery

Cloud & DevOps Azure Git GitHub

Visualization & Dashboarding Plotly Pandas Matplotlib Power BI

Certifications Azure Power BI Power Platform HackerRank

Featured Projects

Project Description Tools
End-to-End MLOps Pipeline Machine failure detection with experiment tracking, REST API, and drift monitoring MLflow, FastAPI, Evidently, Random Forest
Anomaly Detection Pipeline Time-series anomaly detection comparing 3 models on industrial sensor data PyTorch, Isolation Forest, Plotly Dash
Predictive Maintenance RUL Remaining Useful Life prediction on NASA turbofan engine data XGBoost, MLflow, FastAPI, Docker
Sleep Quality Prediction Sleep quality prediction from Fitbit data using LSTM and Transformer models PyTorch, LSTM, XGBoost, Transformer
NLP Sentiment Analysis Pipeline End-to-end sentiment analysis on IMDb reviews with BERT fine-tuning and live Streamlit app BERT, HuggingFace, Scikit-learn, Streamlit

GitHub Stats

GitHub Activity

Connect With Me

LinkedIn GitHub

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  1. anomaly-detection-pipeline anomaly-detection-pipeline Public

    End-to-end anomaly detection pipeline comparing Z-Score, Isolation Forest, and PyTorch Autoencoder on industrial sensor data with Plotly Dash dashboard

    Jupyter Notebook

  2. mlops_pipeline mlops_pipeline Public

    End-to-end MLOps pipeline for machine failure detection using MLflow, FastAPI, and Evidently AI

    HTML

  3. ocean-sound-classification-deep-learning ocean-sound-classification-deep-learning Public

    Deep learning project for marine species classification using ocean acoustic data, spectrograms, contrastive learning, and generative models.

    Jupyter Notebook

  4. predictive-maintenance-rul predictive-maintenance-rul Public

    End-to-end predictive maintenance ML system — RUL prediction, anomaly detection, FastAPI, Docker

    Jupyter Notebook

  5. nlp-sentiment-pipeline nlp-sentiment-pipeline Public

    End-to-end NLP pipeline for sentiment analysis using TF-IDF + Logistic Regression and BERT — 88.5% accuracy with live Streamlit web app

    Jupyter Notebook