I bring over five years of hands-on experience with Python, focusing on machine learning, data analysis, and application development. My work includes designing predictive models, such as customer segmentation with ARIMA and SARIMA for inventory forecasting and deploying complex NLP and image classification solutions with TensorFlow and Keras. Iโve built applications integrating SQL and natural language processing for interactive query systems, and I specialize in fine-tuning NLP models like BERT for tasks like sentiment analysis and question answering. With strong knowledge of key libraries such as Pandas, Scikit-Learn, and Hugging Face Transformers, Iโm adept at developing robust solutions and optimizing performance. Additionally, I have experience with tools like Docker, CI/CD pipelines, and AWS, ensuring smooth integration and efficient deployment in production environments.
๐ Nationality | ๐ต๐ฐ Pakistan |
๐ก Residency | ๐ต๐ฐ Pakistan |
๐ Location | ๐ต๐ฐ Pakistan |
Remote OK | rok.co/@mani1994 |
GitHub | github.com/sulemanshahani |
https://www.linkedin.com/in/muhammadsulemanneduet/ | |
Skilled in | python machine learning deep learning nlp data analysis tensorflow pytorch scikit learn xgboost flask keras aws streamlit sql mysql amazon rds web scraping bert llama2 gradio pandas matplotlib time series forecasting arima sarima sentiment analysis cnn image classification data preprocessing feature engineering statistical analysis decision trees random forest chatbot dev api dev data visualization model deployment computer vision nlp techniques model optimization hyperparameter tuning cloud computing generative ai |
Fluent in | english |
Preferred annual pay (min) | $10,000/year |
Preferred hourly pay (min) | $4/hour |
Last seen | 11 days ago |
Signed up | 18 days ago |
Badges |
๐จโ๐ป Remote worker ๐ Early adopter |
2022 - Present : Machine learning engineer @ Merit group
2018 - 2022: Machine learning Engineer @ Codek
2013 - 2017: Mechanical engineer @ Ned university