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1. End-to-End-Pipeline-for-Diamond-Price-Prediction-with-Snowflake End-to-End-Pipeline-for-Diamond-Price-Prediction-with-Snowflake Public

   This project builds a full machine learning pipeline for predicting diamond prices using Snowflake’s Snowpark and Python UDFs. It covers data processing, model training, and real-time scoring—fully…

   Jupyter Notebook 1

2. Stardigital_ads_ABtest Stardigital_ads_ABtest Public

   An A/B testing analysis for Star Digital's online ad campaign, combining statistical tests, logistic regression, and ROI evaluation to assess ad effectiveness and optimize media spending.

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3. Car-Evaluation-Classification Car-Evaluation-Classification Public

   Applied multiple classification models to predict car evaluations based on categorical features like price, safety, and capacity. Compared decision trees, k-NN, logistic regression, Naive Bayes, an…

   Jupyter Notebook 1

4. Image_detection_classifcation Image_detection_classifcation Public

   CNN-based image classification project using the Dogs vs. Cats Kaggle dataset. Explores different CNN architectures and preprocessing pipelines to optimize model accuracy for binary image classific…

   Jupyter Notebook 1

5. Retail-Time-Series-Sales-Forecast Retail-Time-Series-Sales-Forecast Public

   Retail sales forecasting using LSTM and GRU architectures on Walmart’s M5 Kaggle dataset. Includes time series-specific feature engineering (lag, rolling stats, event-based) and benchmarks performa…

   Jupyter Notebook 1

6. Spark-Sentiment-Analysis Spark-Sentiment-Analysis Public

   Real-time stock sentiment analysis pipeline using Apache Spark Structured Streaming, Twitter API, and financial news feeds. Combines text preprocessing, NLP sentiment scoring, and time-windowed agg…

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