Key Skills :

• Python Libraries, Databases, Frame-works and Version Control: NumPy, Pandas, Scikit-Learn, TensorFlow,Databricks, Anaconda, PySpark, Spark, Jupyter notebook, MongoDB, MySQL, Big-Query, Oracle, A WS s3 bucket, EC2, ECS, AWS, SageMaker, CI/CD, Github, Github Actions, Flask
• Probability Mathematics and Applied Statistics: Probability, Distributions, A/B testing, Confidence Interval, Hypothesis Testing, Bayesian Model, t-Test, ANOV A, Chi-Square Test
• Machine Learning and Deep Learning: Supervised Learning, Decision Trees, RandomForest, GBDT, XGBoost, SVM, ensemble techniques ,Stacking ,voting, Unsupervised Learning, Time-Series, Forecasting, Clustering, sentiment analysis, segmentation, ANN, CNN, nltk, Word2vec
• Data Visualization: Power BI, DAX, Tableau, Python, Matplotlib, Seaborn, Plotly

🌱 I’m currently learning advance Deep Learning techniques in Computer Vision and Natural Language Processing

💬 Ask me about Python , Pandas, NumPy , Matplotlib, Seaborn , Scikit-Learn, TensorFlow ,MySQL , Power BI , Tableau , Probability Mathematics , Inferential Statistical, Supervised and Unsupervised Machine Learning, Artificial Neural Networks, CNN, TensorFlow

📫 How to reach me [email protected]