I'm a data scientist and machine learning engineer with expertise in predictive modeling, time series analysis, and NLP. I specialize in developing end-to-end ML solutions from data preprocessing to deployment, with experience across finance, retail, healthcare, and climate domains.
- π Focused on AI/ML solutions that solve real business problems
- π± Currently exploring reinforcement learning and MLOps
- πΌ Open to collaboration on innovative data science projects
- π Experienced with cloud ML platforms (AWS, GCP, Azure)
- π« Reach me at: aktutia@gmail.com
- SuperKart-Sales-Prediction - ML project to predict product sales for retail supermarket SuperKart.
- X-CustomerSupport-Chatbot - NLP-powered AI tool with LangChain, FAISS, and OpenAI's GPT-3.5-turbo for Twitter/X support.
- BART-Abstract-Text-Summarization - Abstractive text summarization using BART transformer model.
- DeepVision-Tesseract-OCR-InvoiceScanner - Custom OCR system using YOLO V4 and Tesseract for automated invoice scanning.
- Climate-Visualization-Shiny-App - Shiny web app for visualizing climate data with time series analysis and anomaly detection.
- Work-Capital-Optimization-Tableau-Dashboards - Interactive Tableau dashboards for Account Payables and Receivables analysis.
|
Python |
JavaScript |
HTML5 |
CSS3 |
React |
|
TensorFlow |
PyTorch |
scikit-learn |
NumPy |
Pandas |
Keras |
Hugging Face |
FastAPI |
|
OpenCV |
NLTK |
LangChain |
Agno |
Matplotlib |
Seaborn |
Plotly |
Streamlit |
|
AWS |
GCP |
Azure |
Git |
Docker |
Heroku |
Postman |
|
PostgreSQL |
MongoDB |
Chroma |
Jupyter |
Colab |
Kaggle |
n8n |
Powered by Posit Cloud for collaborative data science