Passionate about unlocking the mysteries of data, I'm a Ph.D. in Materials science turned Data scientist.

🔭 I've explored the depths of materials at NASA and now I'm navigating the vast seas of data.

🌱 Currently learning: Advanced machine learning algorithms.

👯 I'm looking to collaborate on projects that are at the forefront of innovation and make use of big data and AI to improve everyday life.

💬 Ask me about: Data analysis, materials Science, and everything else.

🐍 Python prodigy: Python, PEP8

🧱 Building blocks of data science: Numpy, Pandas, Spark, SQL, MySQL, Relational databases

🎨 Data visualization artist: Seaborn, Matplotlib, Looker Studio, Tableau, Charting, Data storytelling, Data presenting

🔍 Data detective: Data cleaning, Data wrangling, EDA (Exploratory Data Analysis)

📊 Statistical sorcerer: Linear algebra, Statistical distributions, Statistical inference, Confidence intervals, A/B Testing, Hypothesis testing, Statistical modeling, Bayesian statistics

📈 Machine learning maestro: LIME, SHAP, PCA, Gaussian mixture models, Linear regression, Logistic regression, Multilevel models, Marginal models, KNNs, Decision trees, Random forests, Support vector machines, XGBoost

🔧 Engineering expert: Feature engineering, Dimensionality reduction, Clustering, Handling imbalanced data, Model selection, Optimization algorithms, Hyperparameter tuning

🖥️ AI architect: Convolutional neural networks, Computer vision

🔍 Data science toolsmith: Docker, Object-oriented programming

I love to merge the analytical thinking from my research days with creative problem-solving in data science!