PhD scientist with extensive experience analysing large and complex data sets, time series simulation and forecasting, data analytics, data mining, and machine learning (regression, classification, clustering, deep learning). I have +10 years of Python coding experience and am well-versed in data analytics, mathematics, and statistics. Oracle 12c SQL fundamentals and database administration certification

𝐒𝐤𝐢𝐥𝐥𝐬:

LANGUAGES: Python, SQL (PL/SQL), FORTRAN, IDL, Shell scripting, C/C++ basics, JavaScript, Matlab, Java

TOOLS INCLUDE: Python (numpy, scipy, scikit-learn, Keras, TensorFlow, PyTorch, OpenCV, pandas, seaborn, Flask, pyTesseract), Jupyter notebook, Git, PyCharm, and Latex.

MACHINE LEARNING: Regression, Classification, Clustering, Deep Learning, And Dimensional Reduction.

DATABASE: Oracle (Oracle 12c Certified Database Administrator and SQL Fundamentals), MySQL, PL/SQL coding, query optimization, database design and modelling, database security.

RESEARCH: 12 peer-reviewed papers published in prestigious journals (such as Nature Astronomy, MNRAS, and ApJ), 25 conference proceedings and telegrams.