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bbv

boston-marathon-analysis-python-pandas

Working with Python Pandas and Matplotlib. Analyzed the marathon runners’ split finished times to determine top finishers as per the success ratio of the country. This analysis helped determine the strategies used by top finishers (Positive or Negative split) to complete the marathon effectively.

cloud-computing-architecture-autonomous-car-divison-

Built a cloud architecture for the autonomous car industry to migrate from on-premise servers

data-engineering-nanodegree-udacity-program-projects-and-excercise

Data Engineering Nanodegree focusing on Data modeling with PostgreSQL & Cassandra, Data warehousing using Redshift, Data pipelines with Spark, Airflow, and AWS Services (EMR, S3)

data-pipelines-with-apache-airflow

Developed a data pipeline to automate data warehouse ETL by building custom airflow operators that handle the extraction, transformation, validation and loading of data from S3 -> Redshift -> S3

facemask-detection-cnn-vgg99-mlp

The COVID pandemic has asked human to alter a lot of things in daily life routine. Since then need for many applications has been felt, and Facemask Detection is one of them. This application can easily be utilized in Security cameras and CCTV's.

large-dataset-number-count-pyspark-using-mappartitions

medical-appointment-no-shows-prediction

Data analysis and Machine learning

msis2802_spring2019

nd027-c3-data-lakes-with-spark

ports-and-shipment-data-analytics-tableau-pentaho

This project was a part of the Business Intelligence and Data warehousing curriculum. Built an application with Pentaho as a data integration tool for creating pipelines, MySQL database for schema & modeling then visualizing it on Tableau dashboards.

programming-resources

A curated collection of programming and computation resources

readme-template

README.md template for your open-source project

scala-application-isbn-encoder

This Application covers Apache Spark, Dataframes and Scala/Java.

spark-data-pipeline-and-dashboards

This work repository is motivation to learn more about Spark framework, Scala, Python libraries (PySpark, SQL, Matplotlib), and how data warehousing skills are combined to build an analytic application with charts/graphs on a dashboard. With the futuristic approach, it's worth implementing the application with MLlib, Dataset API with Scala version, generating more interactive dashboards with Tableau, Zeppelin, and Plotly.

udacimak

Udacity Nanodegree and Course Downloader