Hello, I'm
Rahul Shelke
Full Stack Data Scientist
I'm passionate about turning raw data into actionable insights and building scalable AI solutions that solve real-world problems.
Hello, I'm
Full Stack Data Scientist
I'm passionate about turning raw data into actionable insights and building scalable AI solutions that solve real-world problems.
Get To Know More
1.7 years
Data Scientist
B.E (CS)
University of Mumbai
Iām Rahul Shelke, a skilled Data Scientist with hands-on experience in Python, NLP, and machine learning technologies. I specialize in developing advanced models and enhancing product functionality through data-driven solutions.
With a strong academic foundation in Computer Science and Engineering from the University of Mumbai, and practical experience across diverse projects, I bring robust analytical and problem-solving skills to the table. Iām passionate about transforming data into actionable insights and am eager to contribute to cutting-edge projects within a dynamic, collaborative team environment.
Selenium
BS4
SQL
Kafka
Airflow
PySpark
dbt
Pipelines
S3
MongoDB
PostgreSQL
NumPy
Pandas
SciPy
Statsmodels
Matplotlib
Plotly
Tableau
NLTK
SpaCy
HuggingFace
OpenCV
YoLo
Python
scikit-learn
TensorFlow
PyTorch
Optuna
MLflow
DVC
CI/CD
Docker
Kubernetes
FastAPI
Flask
Streamlit
Prometheus
Grafana
Loki
Evidently AI
Gemini
OpenAI
Mistral
Llama
FAISS
Pinecone
ChromaDB
Langchain
Chainlit
AWS
RabbitMQ
Terraform
Git
Jupyter
VsCode
PyTest
MkDocs
Draw.io
ShellBrowse My Recent
Domain : Health Care
Learning : Supervised (Classification)
Technologies :
Python, Scikit-learn, FastAPI, SciPy,
Pandas, Numpy, Matplotlib, Seaborn,
Docker, MongoDB, AWS (S3, EC2, ECR),
Github Actions
Domain : IoT / Logistics
Learning : Supervised (Classification)
Technologies :
Python, Scikit-learn, FastAPI, SciPy,
Pandas, Numpy, Matplotlib, Seaborn,
Docker, MongoDB, AWS (S3, EC2, ECR),
Github Actions
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
Domain : Customer Analytics
Learning : Unsupervised (Clustering)
Technologies :
Python, Scikit-learn, FastAPI, SciPy,
Pandas, Numpy, Matplotlib, Seaborn,
Docker, MongoDB, AWS (S3, EC2, ECR),
Github Actions
Domain : Transportation
Learning : Supervised (Regression)
Technologies :
Python, Scikit-learn, Pandas, SciPy,
Numpy, Matplotlib, Seaborn, Jupyter
Domain : Human Resource
Learning : Supervised (Classification)
Technologies :
Python, Scikit-learn, Pandas, SciPy,
Numpy, Matplotlib, Seaborn, Jupyter
š Domain : Health Care
šÆ Learning : Supervised
š¢ Type : Binary Classification
Python Scikit-learn Flask Pandas Numpy Matplotlib Seaborn SciPy MongoDB AWS EC2 AWS ECR AWS S3
š Domain : Health Care
šÆ Learning : Supervised
š¢ Type : Binary Classification
Python
š Domain : Health Care
šÆ Learning : Supervised
š¢ Type : Binary Classification
Python
š Domain : Health Care
šÆ Learning : Supervised
š¢ Type : Binary Classification
Python
š Domain : Health Care
šÆ Learning : Supervised
š¢ Type : Binary Classification
Python
š Domain : Health Care
šÆ Learning : Supervised
š¢ Type : Binary Classification
Python
Domain : Humen Resource
Learning : Supervised
Type : Binary Classification
Technologies Used : Python, Transformer, Machine Learning, AWS EC2, AWS ECR, AWS S3
š Domain : Health Care
šÆ Learning : Supervised
š¢ Type : Binary Classification
Python
š Domain : Health Care
šÆ Learning : Supervised
š¢ Type : Binary Classification
Python
Title : Financial Dispute
Learning : Text Classification
Heighlights :
Technologies :
Python, PySpark, FastAPI, SciPy,
Pandas, Numpy, Matplotlib,
Seaborn,Docker, MongoDB, AWS,
Github Actions, Airflow
Title : BBC News classification
Learning : Multi-class Classification
Heighlights :
Technologies :
Python, Tensorflow, Pandas,
Numpy, GloVe/ Word2Vec,
RNNs, Docker, MongoDB, AWS,
Github Actions, Streamlit
Title : Twitter Sentiment Analysis
Learning : Transfer Learning
Heighlights :
Technologies :
Python, BERT, Transformers (š¤),
Tensorflow, Docker, Streamlit,
MongoDB, Github Actions, AWS
Title : Named Entity Recognition
Learning : Sequence Labeling
Heighlights :
Technologies :
[None]
Title : English to Hinglish
Learning : Seq-2-Seq Learning
Heighlights :
Technologies :
[None]
Title : Code Auto-Complition
Learning : Sequence Generation
Heighlights :
Technologies :
[None]
Title : QnA ChatBot
Learning : Conversational AI
Heighlights :
Technologies :
[None]
Title : Text Summarizer
Learning : Sequence Summarization
Heighlights :
Technologies :
[None]
Title : Hinglish to English
Learning : Sequence Transduction
Heighlights :
Technologies :
[None]![[project title]](./assets/Project/computer_vision/working-on-it.png)
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š Domain : [None]
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š Domain : [None]
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Python
š Domain : [None]
šÆ Learning : [None]
š¢ Type : [None]
Python
š Domain : Retail / E-commerce
šÆ Learning : Data Warehousing,
SQL Queries, ETL, Analytics
š¢ Type : OLAP (Analytical Project)
SQL Notion draw.io Git SQL Server
š Domain : [None]
šÆ Learning : [None]
š¢ Type : [None]
SQL Notion draw.io Git SQL Server
š Domain : [None]
šÆ Learning : [None]
š¢ Type : [None]
SQL Notion draw.io Git SQL Server
š Domain : Retail /
Business Intelligence
šÆ Learning : SQL, Power BI,
Data Modeling, Visualization
š¢ Type : Dashboard /
Exploratory Data Analysis
PowerBI SQL SQL Server
š Domain : [None]
šÆ Learning : [None]
š¢ Type : [None]
Python
š Domain : [None]
šÆ Learning : [None]
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š Domain : [None]
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š Domain : [None]
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Python
![[project title]](./assets/Project/dsa_and_ml_algorithms/working-on-it.png)
š Domain : [None]
šÆ Learning : [None]
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š Domain : [None]
šÆ Learning : [None]
š¢ Type : [None]
Python
My Recent
Get in Touch
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:
