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SharadChoudhury/README.md

About Me:

👋 Hi there! I'm Sharad, a Data Engineer passionate about leveraging data-driven insights to solve complex problems and drive meaningful impact.
I am well-versed in using a wide range of tools and programming languages such as:

  1. Python
  2. SQL
  3. PySpark
  4. Kafka
  5. AWS - EMR, RDS, S3, REDSHIFT
  6. Airflow
  7. Hadoop Ecosystem- HDFS, MapReduce, HBase, Sqoop, Flume, Hive
  8. Grafana
  9. InfluxDB
  10. Docker
  11. Linux

🌟 If you are looking for a data engineer who combines strong technical skills, a passion for problem-solving, and a collaborative mindset, I'd love to connect and explore potential opportunities. Feel free to reach out via https://www.linkedin.com/in/sharadchoudhury27/.

Let's make data-driven decisions together and unlock new possibilities!

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  1. ATM-Transactions-Batch-ETL ATM-Transactions-Batch-ETL Public

    Batch ETL pipeline using Apache Sqoop, Apache PySpark, Amazon S3 and Amazon RedShift to analyze ATM withdrawl behaviours to optimally manage the refill frequency.

    Jupyter Notebook

  2. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    Credit card fraud detection of real time transaction data

    Python

  3. Hadoop-Project Hadoop-Project Public

    NYC Taxi data analysis using Mapreduce

    Python

  4. Lead-Scoring-CaseStudy Lead-Scoring-CaseStudy Public

    Scoring Leads for an Ed-Tech company to enable higher leads conversion

    Jupyter Notebook

  5. Bike-Sharing-prediction Bike-Sharing-prediction Public

    Multiple Regression model building with Sklearn and statsmodels and analysis of relevant predictors using P-values and VIF

    Jupyter Notebook

  6. Credit-EDA-Case-Study Credit-EDA-Case-Study Public

    Extensive EDA Case study of Loan applications of customers based on various factors and identifying the trends in Defaulters and Non Defaulters

    Jupyter Notebook