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π My passion lies in the realm of Data Science, where I continually explore the breadth and depth of its techniques and tools to extract profound insights from complex datasets.
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π Currently, I'm dedicated to honing my skills across various pillars of Data Science, including Data Analysis, Visualization, Machine Learning, Data Engineering, Deep Learning, and Artificial Intelligence.
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π Engaged in diverse projects, I immerse myself in the realms of Data Analysis, Machine Learning, Data Engineering, and Cloud-based Data Science applications, seeking to unravel patterns and insights from vast and intricate datasets.
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Feel free to reach out to me via email at [[email protected]].
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Open to collaboration on exciting projects and initiatives.
- Data Analysis and Data Mining
- Data Preprocessing and Cleaning
- Data Visualization
- Statistical Analysis
- Advanced Mathematics
- Clustering Techniques (Hierarchical Clustering, DBSCAN)
- Dimensionality Reduction (PCA)
- Hypothesis Testing
- Building Machine Learning Models
- Time Series Analysis
- Dashboard and KPI Development
- Business Intelligence Tools (Microsoft Power BI, Tableau)
- Text Mining
- A/B Testing
- Feature Selection and Engineering
- Model Deployment
- Building CNN models
- RNN Models