ritikdhame

Automated-Telecom-Customer-Churn-Analysis

AWS Glue & Airflow automate weekly churn analysis pipeline (S3, Redshift) for telco (1M+ customers) with actionable Tableau dashboard (user segmentation, churn reasons, geographical distribution).

Bird-Call-Classification-Using-Deep-Learning

A deep learning model that can detect the presence of capuchin bird calls in audio clips

Dashboard-Projects

A collection of Tableau and Power BI dashboards that draw deep insights into various business use cases

Electricity_Demand_and_Price_forecasting

Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. Additionally, hybrid models like GRU-XGBoost and LSTM-Attention-XGBoost for Electricity Demand and price prediction

fetch_etl_pipeline

Fetch Rewards Data Engineering Take Home: ETL off an SQS Queue ETL solution

Language_Translation_Multiplemodel

Carrying out NMT using simple Encoder-decoder architecture, Attention mechanism, hugging face models

Realtime-Wheather-Analysis

Building Powerfull realtime Climate analyis pipeline with Climate API, AWS Lambda, Dynamo DB, S3, Snowflake & Power BI

Sales_Dashboard_DBT_Airflow_GCP

This DBT (Data Build Tool) project leverages GCP (Google Cloud Platform) services, specifically Google BigQuery, and Metabase for data transformation, visualization, and Sales Dashboard creation, while also utilizing Soda (Streaming Data Build Tool) for real-time data processing

Student_score_prediction_app_regression_models

A flask app that predicts student score based on regression models by deployed on AWS beanstock

ritikdhame/Electricity_Demand_and_Price_forecasting

Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. Additionally, hybrid models like GRU-XGBoost and LSTM-Attention-XGBoost for Electricity Demand and price prediction

ritikdhame/Language_Translation_Multiplemodel

Carrying out NMT using simple Encoder-decoder architecture, Attention mechanism, hugging face models

ritikdhame/Automated-Telecom-Customer-Churn-Analysis

AWS Glue & Airflow automate weekly churn analysis pipeline (S3, Redshift) for telco (1M+ customers) with actionable Tableau dashboard (user segmentation, churn reasons, geographical distribution).

ritikdhame/Bird-Call-Classification-Using-Deep-Learning

A deep learning model that can detect the presence of capuchin bird calls in audio clips

ritikdhame/Dashboard-Projects

A collection of Tableau and Power BI dashboards that draw deep insights into various business use cases

ritikdhame/fetch_etl_pipeline

Fetch Rewards Data Engineering Take Home: ETL off an SQS Queue ETL solution

ritikdhame/Hindi_Text_Prediction_using_LSTM

Predicting hindi texts based on a charecter level prediction using LSTM models

ritikdhame/House_Price_Prediction_with_Pyspark

Predicting House Prices using Linear Regression, Random Forest and GBT Regression

ritikdhame/Movie-and-Political-Sentiment-Analysis-with-PySpark

Building a machine learning model using PySpark, TF-IDF, and logistic regression with elastic net regularization to perform sentiment analysis on IMDb rating review data and Tweets

ritikdhame/Realtime-Wheather-Analysis

Building Powerfull realtime Climate analyis pipeline with Climate API, AWS Lambda, Dynamo DB, S3, Snowflake & Power BI

ritikdhame/Sales_Dashboard_DBT_Airflow_GCP

This DBT (Data Build Tool) project leverages GCP (Google Cloud Platform) services, specifically Google BigQuery, and Metabase for data transformation, visualization, and Sales Dashboard creation, while also utilizing Soda (Streaming Data Build Tool) for real-time data processing

ritikdhame/Stockprice_prediction_LSTM

This project aims to build an Multivariate time series prediction LSTM model to predict the stock price.

ritikdhame/Student_score_prediction_app_regression_models

A flask app that predicts student score based on regression models by deployed on AWS beanstock

ritikdhame/ritikdhame