Rahul Shelke profile picture

Hello, I'm

Rahul Shelke

Data Scientist

A dedicated Data Scientist with nearly two years of hands-on experience in Python, NLP, and ML technologies

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About Me

Experience icon

Experience

1.7 years
Data Scientist

Education icon

Education

B.E (CS)
University of Mumbai

I am Rahul Prakash Shelke, a skilled Data Scientist proficient in Python, NLP, and Machine Learning technologies. With hands-on experience , I excel in developing advanced models and enhancing product functionalities. My academic background in Computer Science and Engineering from the University of Mumbai, combined with practical project work, has equipped me with strong analytical and problem-solving abilities. Passionate about leveraging data-driven insights to drive innovation, I am eager to contribute to cutting-edge projects in a dynamic team environment.

Tools & Technologies

Languages

PythonPython
CC

Database

MySQLMySQL
MongoDBMongoDB

Web Frameworks

FlaskFlask
StreamlitStreamlit
FastAPIFastAPI

Libraries

NumPyNumPy
PandasPandas
MatplotlibMatplotlib
SeabornSeaborn
Scikit-learnScikit-learn
PyTorchPyTorch
TensorFlowTensorFlow
SciPySciPy

Cloud Platforms

AWS

S3 BucketS3 Bucket
ECRECR
EC2EC2

Generative AI

Models

OpenAIOpenAI
GeminiGemini
Llama 2Llama 2

Databases

FAISSFAISS

LLM Integration Tools

LangchainLangchain

Other Tools

HuggingFaceHuggingFace

MLOps Tools

DockerDocker
GitHub ActionsGitHub Actions

Versioning Tools

GitGit

My Recent

Certificates

Course Certificate

Full Stack Data Science Masters

iNeuron (by Krish Naik) — 2024

View Certificate

Browse My Recent

Projects


churn prediction

Heart Stroke Prediction

  • Domain : Health Care

  • Learning : Supervised (Classification)

  • Technologies :

    Python, Scikit-learn, FastAPI, SciPy,
    Pandas, Numpy, Matplotlib, Seaborn,
    Docker, MongoDB, AWS (S3, EC2, ECR),
    Github Actions

Sensor Fault Prediction

Sensor Fault Prediction

  • Domain : IoT / Logistics

  • Learning : Supervised (Classification)

  • Technologies :

    Python, Scikit-learn, FastAPI, SciPy,
    Pandas, Numpy, Matplotlib, Seaborn,
    Docker, MongoDB, AWS (S3, EC2, ECR),
    Github Actions

Shipment Price Prediction

Shipment Price Prediction

  • Domain : Logistic/ E-commerce

  • Learning : Supervised (Regression)

  • Technologies :

    Python, Scikit-learn, FastAPI, SciPy,
    Pandas, Numpy, Matplotlib, Seaborn,
    Docker, MongoDB, AWS (S3, EC2, ECR),
    Github Actions

Customer Segmentation

Customer Segmentation

  • Domain : Customer Analytics

  • Learning : Unsupervised (Clustering)

  • Technologies :

    Python, Scikit-learn, FastAPI, SciPy,
    Pandas, Numpy, Matplotlib, Seaborn,
    Docker, MongoDB, AWS (S3, EC2, ECR),
    Github Actions

NYC Taxi Fare Prediction

NYC Taxi Fare Prediction

  • Domain : Transportation

  • Learning : Supervised (Regression)

  • Technologies :

    Python, Scikit-learn, Pandas, SciPy,
    Numpy, Matplotlib, Seaborn, Jupyter

Churn Prediction

Churn Prediction

  • Domain : Human Resource

  • Learning : Supervised (Classification)

  • Technologies :

    Python, Scikit-learn, Pandas, SciPy,
    Numpy, Matplotlib, Seaborn, Jupyter

Complaint Classification

Complaint Classification

  • Title : Financial dispute classification

  • Learning : Supervised (Classification)

  • Heighlights :

  • Technologies :

    Python, PySpark, FastAPI, SciPy,
    Pandas, Numpy, Matplotlib, Seaborn,
    Docker, MongoDB, AWS (S3, EC2, ECR),
    Github Actions, Airflow

Sentiment Analysis

Text Classification

  • Title : BBC News classification

  • Learning : Deep Learning

  • Heighlights :

  • Technologies :

    Python, Tensorflow / Keras, Pandas,
    Numpy, Pretrained GloVe/ Word2Vec,
    RNNs(LSTM/BiLSTM), Docker, MongoDB,
    AWS, Github Actions, Streamlit

Named Entity Recognition

Sentiment Analysis

  • Title : Twitter Sentiment Analysis

  • Learning : Transfer Learning

  • Heighlights :

    • X% improvement over baseline
    • reduced model size (~X%)
    • faster inference (~Y% speedup)
  • Technologies :

    Python, BERT, Transformers,
    HuggingFace, Tensorflow / Kersa,
    Docker, MongoDB, AWS,
    Github Actions, Airflow

Machine Translation

Named Entity Recognition

  • Title : Financial dispute classification

  • Learning : Supervised (Classification)

  • Heighlights :

  • Technologies :

    Python, PySpark, FastAPI, SciPy,
    Pandas, Numpy, Matplotlib, Seaborn,
    Docker, MongoDB, AWS (S3, EC2, ECR),
    Github Actions, Airflow

Text Generation

Machine Translation

  • Title : Financial dispute classification

  • Learning : Supervised (Classification)

  • Heighlights :

  • Technologies :

    Python, PySpark, FastAPI, SciPy,
    Pandas, Numpy, Matplotlib, Seaborn,
    Docker, MongoDB, AWS (S3, EC2, ECR),
    Github Actions, Airflow

Q&A System

Text Generation

  • Title : Financial dispute classification

  • Learning : Supervised (Classification)

  • Heighlights :

  • Technologies :

    Python, PySpark, FastAPI, SciPy,
    Pandas, Numpy, Matplotlib, Seaborn,
    Docker, MongoDB, AWS (S3, EC2, ECR),
    Github Actions, Airflow

Text Summarization

Q&A System

  • Title : Financial dispute classification

  • Learning : Supervised (Classification)

  • Heighlights :

  • Technologies :

    Python, PySpark, FastAPI, SciPy,
    Pandas, Numpy, Matplotlib, Seaborn,
    Docker, MongoDB, AWS (S3, EC2, ECR),
    Github Actions, Airflow

Text to Speech

Text Summarization

  • Title : Financial dispute classification

  • Learning : Supervised (Classification)

  • Heighlights :

  • Technologies :

    Python, PySpark, FastAPI, SciPy,
    Pandas, Numpy, Matplotlib, Seaborn,
    Docker, MongoDB, AWS (S3, EC2, ECR),
    Github Actions, Airflow

Content Based Filtering

Speech to Text

  • Title : Financial dispute classification

  • Learning : Supervised (Classification)

  • Heighlights :

  • Technologies :

    Python, PySpark, FastAPI, SciPy,
    Pandas, Numpy, Matplotlib, Seaborn,
    Docker, MongoDB, AWS (S3, EC2, ECR),
    Github Actions, Airflow

[project title]

[project title]

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🛠 Technologies Used :

Python

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Python

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Python

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Python

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Python

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Python

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🛠 Technologies Used :

Python

SQL Data Warehouse

SQL Data Warehouse

    📂 Domain : Retail / E-commerce

    🎯 Learning : Data Warehousing,
    SQL Queries, ETL, Analytics

    🔢 Type : OLAP (Analytical Project)

🛠 Technologies Used :

SQL Notion draw.io Git SQL Server

SQL Exploratory Data Analysis

Exploratory Data Analysis

    📂 Domain : [None]

    🎯 Learning : [None]

    🔢 Type : [None]

🛠 Technologies Used :

SQL Notion draw.io Git SQL Server

Advanced Analytics

Advanced Analytics

    📂 Domain : [None]

    🎯 Learning : [None]

    🔢 Type : [None]

🛠 Technologies Used :

SQL Notion draw.io Git SQL Server

Sales Insights

Sales Insights

    📂 Domain : Retail /
    Business Intelligence

    🎯 Learning : SQL, Power BI,
    Data Modeling, Visualization

    🔢 Type : Dashboard /
    Exploratory Data Analysis

🛠 Technologies Used :

PowerBI SQL SQL Server

Get in Touch

Contact Me

Thank you for visiting my portfolio! I'm always excited to connect with fellow professionals, collaborators, and enthusiasts in the fields of technology. You can reach me through the following platforms: