Turning data into actionable insights, building intelligent systems, and exploring cutting-edge research in AI/ML.
- 🎓 Background in Geophysics & explorative mining.
- 📊 Experienced in data analysis, machine learning, and statistical modeling
- passionate about Machine Learning, Data Science, and Applied Research
- 🧠 Skilled in Python, R, SQL, and popular data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn)
- 💾 Proficient in data wrangling, visualization, and storytelling
- 🚀 Focused on solving real-world problems with data-driven solutions
- Languages: Python, R, SQL, Bash
- Data Science: Jupyter Notebook, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, XGBoost
- Visualization: Matplotlib, Seaborn, Plotly, Power BI, Tableau
- Big Data: Spark, Hadoop, Dask
- Databases: MySQL, PostgreSQL, MongoDB
- Cloud: AWS, Google Cloud Platform, Azure
- Version Control: Git, GitHub
- Data Engineering: SQL, Airflow, Spark, Databricks
- Exploratory Data Analysis (EDA)
- Predictive Modeling & Machine Learning
- Data Cleaning & Preparation
- Feature Engineering
- Data Visualization & Reporting
- Model Deployment & Monitoring
- Business Intelligence & Strategy
Check out my top repositories:
"Data is the new oil. Extract, refine and create value!"
Feel free to connect or collaborate!