I'm Rushikesh Darge, a passionate data scientist with 3 years of experience, I have actively engaged in diverse project endeavors spanning the entire data lifecycle, from meticulous data collection to seamless deployment. My expertise lies in harnessing the power of cutting-edge deep learning and machine learning models or technologies to solve complex business problems with precision and innovation.

• 🎓 Education: Specialization course in Machine Learning and Deep Learning with scaler.com, and B.Tech in Information Technology
• 💼 Current Role: Data Scientist at ClaimGenius
• 🛠 Tools & Technologies:
  • Language: Python, SQL Javascript, HTML
  • Data Analysis: NumPy, Pandas, MySQL, NoSQL, Excel
  • Data Visualization: Matplotlib, Tableau, PowerBl, Redash
  • Machine Learning Algorithms: Linear Regression, Logistic Regression, K-Means Clustering, KNN, Decision Tree, Random Forest, XGBoost, Naive Bayes, Support Vector Machine.
  • Deep Learning: TensorFlow, Keras, PyTorch
  • Deep Learning Architecture: ANN, CNN, LSTM, VGG16, EfficientNet, MobileNet, Yolo-V9, U-Net, Transformers, BERT, Large Language Models (LLM), Ollama
  • Version Control: Git, GitHub, Bitbucket, DVC
  • Image Annotation: Labellmg, Labelme
  • DevOps: Cl/CD, Containerization (Docker), Orchestration (Kubernetes), Amazon Web Services (AWS)
  • Amazon Web Services (AWS): GLUE, LAMBDA, S3 bucket, Amazon QuickSight
  • Others: Django, Flask, ETL, OOPS, Predictive Modeling, Statistics, GenAi, Scrapy, Web scraping, prompt engineering, fine-tuning

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• Email

I'm always open to interesting projects and collaborations. Feel free to reach out if you'd like to work together or just chat about data science!