YASHVANTA KUMAR LINGAPPA SANTE

• Driven Data Science Intern ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements. Ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology.
• Experience of Machine learning algorithms like Linear and Logistic Regression, KNN, Support Vector
  Machines (SVM), Decision trees, Random Forest, Adaptive Boosting (ADABoost), Gradient Boosting,
  XGBoost and K-Means Clustering.
• Skilled in libraries like Numpy, Pandas, Matplotlib, Seaborn, Scikit Learn, Keras and OpenCV.
• Strong Mathematical foundation and good in Statistics.
• Feature engineering in Python – Missing value treatment, outlier handling, data transformation,
  feature selection and reshaping data using Python packages like Numpy, Pandas and Scikit Learn.
• Good knowledge of Deep Learning (DL) and ample hands-on with Neural Networks, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks
  (RNN) and Long Short Term Memories(LSTM).
• Basic Understanding of Computer Vision techniques like Image pre-processing, Image
  Segmentation, Object detection, Object recognition etc.
• Basic Understanding of Natural Language Processing (NLP) techniques like tokenization,
  stemming, lemmatization, word2vec etc.
• Good at fundamentals of SQL.
• Self-motivated team player with good communication and presentation skills.
  

Data Analysis with Python from Netzwerk Academy