Pinned Loading

1. Amazon-Reviews-NLP-Project Amazon-Reviews-NLP-Project Public

   Analyzed 500 product reviews using NLP and Sentiment Analysis especially Ranking Feature to derive actionable recommendations. Used Sentimental Analysis, TF IDF, Sentiment-Keyword Mapping, and Rand…

   Jupyter Notebook

2. Azure-Data-Ingestion Azure-Data-Ingestion Public

   Data Ingestion to Azure Cloud from on-premises SSMS

3. Orders-Analysis-using-Python-SQL-Server-and-Tableau Orders-Analysis-using-Python-SQL-Server-and-Tableau Public

   I sourced some Orders data through Kaggle; did EDA using Python and then fetched some insights out of cleaned data using SQL Server (SSMS). Then, I built a Tableau Dashboard for some visual insight…

   Jupyter Notebook

4. SQL-DBMS-using-PostgreSQL-and-dimensional-Modelling SQL-DBMS-using-PostgreSQL-and-dimensional-Modelling Public

   Created a Dimensional DB of a company on PostgreSQL; implemented all integrity constraints and fetched some insights out of them using alternative approaches. This can be helpful for someone learni…

5. Time-Series-Analysis-of-Product-Demand Time-Series-Analysis-of-Product-Demand Public

   Extrapolation of 5 years of historic data of Demand of a product: I used different methodologies to come up with the best according to the dataset on MS Excel

6. Training-Supervised-Model-of-Train-Crash Training-Supervised-Model-of-Train-Crash Public

   Using Python OOP, I created a ML algorithm to train and test a train crash model. Data was shared in a class project; I did Exploratory Data Analysis, Data cleaning and analysis, selecting factors …

   Jupyter Notebook 1