Aspiring Data Scientist
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Pursuing master's in AI & Data Science, Passionate ML/DL Engineer with 2 years of Experience in Predictive Modeling and Data Mining and 1+ years of Experience in API Testing with abilities in Statistical and Predictive Analytics and the capacity to work in a variety of situations. Attempting to use a solid command of mathematical ideas and programming expertise in a Data Scientist position.
Involved in Data pre-processing Techniques for making data useful for creating Machine Learning models.
Digging deep into millions of data records and performing data exploratory analysis using interactive Jupyter notebooks using pandas/NumPy/matplotlib.
Implemented POC models using supervised algorithms like Decision trees, Naïve Bayes, Logistic Regression.
Work on code and develop the model and provide support to system team for go live process.
Researched, prototyped (from research papers), built features and optimized (hyper-parameter tuning) the state-of -art machine learning and deep learning techniques like SVM, Logistic Regression, Random Forest regression, LSTM, CNN etc., using scikit-Learn, Keras, TensorFlow on CPU/GPU environments for Client Survey Portal.
Used Pandas, NumPy, seaborn, SciPy, matplotlib, scikit-learn, NLTK and spaCy in Python for developing various Machine Learning solutions.
Master of Science: Artificial Intelligence And Data Science in Technische Hochschule Deggendorf - Deggendorf, Germany