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ritikdhame/README.md

About Me

I am a data analyst with experience in data modelling, orchestration, scalable Big Data pipelines, machine learning, deep learning, and data visualization. I hold a Masters of Science in Information Systems from Syracuse University. Currently, I work at iConsult Collaborative as a Data Analyst, where I analyze data to provide insights and support business decisions. Previously, I have worked as a Business Intelligence Analyst and a Data Scientist, gaining experience in various data-related projects.

Know More about me

As a passionate hiker, I know the thrill of reaching the summit and gaining a clear perspective of the terrain and landscape around me. Similarly, my love for data analysis and data science stems from the power it holds in providing a clearer picture of complex datasets, unlocking valuable insights that can drive success for organizations across various industries.

My competency in data processing, building efficient data pipelines, visualization and handling data quality tools such as SQL, Spark, Tableau, and Power BI, Excel, DBT coupled with my experience in programming languages such as R, Python and machine learning libraries like TensorFlow, PySpark have allowed me to provide comprehensive solutions to organizations. My skills in cloud platforms and other tools like AWS, Snowflake, GitHub, Azure, Docker have enabled me to give organizations a complete understanding of their data, building data pipelines, conducting A/B testing, performing time series analysis, forecasting and conducting hypothesis testing to leverage it for their success.

But my passion for exploration and analysis is never satisfied, and I am constantly seeking new ways to develop my skills and knowledge in this field. I am excited to apply my passion and expertise to a dynamic organization where I can continue to learn and grow while making valuable contributions to the team.

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  1. Electricity_Demand_and_Price_forecasting Electricity_Demand_and_Price_forecasting Public

    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…

    Jupyter Notebook 40 6

  2. Automated-Telecom-Customer-Churn-Analysis Automated-Telecom-Customer-Churn-Analysis Public

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

    Python

  3. Language_Translation_Multiplemodel Language_Translation_Multiplemodel Public

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

    Jupyter Notebook 1

  4. Sales_Dashboard_DBT_Airflow_GCP Sales_Dashboard_DBT_Airflow_GCP Public

    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, w…

    Python

  5. Student_score_prediction_app_regression_models Student_score_prediction_app_regression_models Public

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

    Jupyter Notebook

  6. Realtime-Wheather-Analysis Realtime-Wheather-Analysis Public

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

    Jupyter Notebook