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Focusing
🎯
Focusing
1 follower · 1 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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nabinelnino/README.md

Hi, I’m Nabin Bagale 👋

I’m currently working as a Software/Data Engineer

I'm a Software/Data Engineer, MLOps Engineer (with a strong toolkit, but always learning more!). My work centers on building scalable data and ML solutions in the cloud.

Top Skills:

  • Python, JavaScript, TypeScript, PySpark, C#, SQL, NoSQL
  • GCP (BigQuery, Dataproc, Dataflow, Cloud Run), MLFlow, Airflow
  • Azure & AWS (working knowledge)
  • Next.js, React, Node.js

Proud Project:
Developed a cloud-based AI/ML pipeline to predict hit discovery using DNA-encoded library (DEL) data—processing hundreds of TBs to deliver ML-ready datasets and predictive models.

Fun Fact:
I love tackling novel problems with data and code, and I'm a big fan of European football (soccer).

Always open to collaborating on impactful projects or discussing anything data, ML, or football!

Connect with me:

https://www.linkedin.com/in/nabin-bagale/

Languages and Tools

Python Bash Git Github Gitlab YAML

aws bash cassandra django docker elasticsearch flask git go grafana hadoop hive hugo kafka kubernetes linux mariadb mysql pandas postgresql python redis scala scikit_learn sqlite

Pinned Loading

  1. work-sample work-sample Public

    ETL pipeline and Data Analysis Project for Stock Data

    Python 1

  2. Audio-Emotion-Detection Audio-Emotion-Detection Public

    Audio emotion detection using Machine learning model

    Jupyter Notebook

  3. Disaster_Tweet_Analysis Disaster_Tweet_Analysis Public

    In this project a recurrent neural network is used to predict whether or not a tweet is talking about a real disaster or not

    Jupyter Notebook

  4. fast.api.app fast.api.app Public

    In this project I have created web based ML model which predicts 7-categories of images from Building, Forest, Glacier, Mountain, Sea, and Street with an accuracy of more than 85%. The web-based fi…

    Python

  5. Hyper-Parameter-Tuning Hyper-Parameter-Tuning Public

    Hyper Parameter tuning using CNN for Fashion MNIST dataset

    Jupyter Notebook

  6. Image-Classifier Image-Classifier Public

    The main goal of this Project is to create an image classifier from scratch using the Keras package. I have created binary classifier based on an object type of your choice. The classifier will acc…

    Jupyter Notebook