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pooja97/README.md

Hi there 👋

I'm Pooja Yadav a Data Scientist, Data Engineer, and a Master of Science graduate from San Diego State University.
Thank you for visiting my GitHub profile.

About Me ✍

🔬 Current: Research Scientist at IFF
🔭 Previously a Data Engineer at Getinge
💬 Ask me about Data Engineering, Machine Learning, and Deep Learning.

💻 Technical Proficiency

Programming Languages: Python, SQL, Java, T-SQL
Databases: PostgreSQL, MySQL, MongoDB, BigQuery, SSIS, DBeaver
Data Analysis: Pandas, NumPy, Tableau, Streamlit, Plotly, Seaborn, Power BI
Big Data: PySpark, PySparkSQL, Spark

☁️ Cloud Services:

  • AWS: S3, EC2, ECS, ECR, Glue, Lambda, Athena, QuickSight
  • GCP: Cloud Compute, BigQuery, Looker Studio
  • Azure: ADLS gen2, Databricks, Synapse, DevOps, OpenAI

Machine Learning and Deep Learning: Scikit-learn, PCA, XGBoost, Linear Regression, Logistic Regression, Clustering Analysis, VGG16, TensorFlow, Keras, Image Segmentation (Computer Vision)

Tools and Frameworks: Jupyter Notebook, VSCode, Docker, Git, Selenium, AirFlow, React, Kafka

🔥 My Stats :

GitHub Streak

Top Langs

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  1. pooja97.github.io pooja97.github.io Public

    CSS

  2. Virltor Virltor Public

    AI based real estate service for rating 1.2 million housing community of San Diego

    Python

  3. Word_Processor Word_Processor Public

    Flyweight pattern for word processor in python3. Implemented a Flyweight factory that given a unicode code point returns the Flyweight character object for the character and font. Created RunArray …

    Python

  4. kafka-airflow-mongodb kafka-airflow-mongodb Public

    Implemented data pipeline for validating email and sending OTP using kafka, mongodb, webhooks and airflow

    Python

  5. uber_data_analytics uber_data_analytics Public

    Data modeling and ETL pipeline for data analytics on Uber dataset using Google cloud storage, BigQuery, and Looker Studio

    Jupyter Notebook 1

  6. ethio_hydro ethio_hydro Public

    Worked with Ethiopia's rain and temperature time series data. Processed and analyzed 67 million Data and created a dashboard to monitor it.

    Python 2 2