I am an Experienced Data Scientist with strong analytical and modeling skills. I am a talented, ambitious, and hardworking individual, with broad skills in Machine Learning. My main areas of expertise are: - Machine Learning, Linear Regression, Logistic Regression, Random Forest- Python, NumPy / Pandas / Matplotlib, Keras, SklearnML Project Competencies:Data Cleaning, Data Wrangling, Data Exploration, Data Analysis, Data Validation, Feature Extraction, Experiment Design, Feature Engineering, Feature Selection, Hypothesis Testing, Model Building - Regression, Classification, Clustering, Model Performance Tuning, Model Evaluation, Visualization and ReportingNLP- based: Tokenization, Stemming, Lemmatization, Bag of Words (BoW) Term Frequency-Inverse Document Frequency (TF-IDF). Word2Vec.Skill Stack:ML Skills: Random Forest, Linear/Logistic Regression, Gradient Boosting Trees, Approximate Nearest Neighbors, Support Vector Machines, PCA, K-means ClusteringDeep Learning Skills(basics): ANN, Forward & Backward Propagation, CNN, RNN, Optimizers, Loss Function.Known Libraries: Numpy, Pandas, Matplotlib, Seaborn, Plotly, Sklearn.Skills: • Languages Known: Python, C, C++.• Deployment - S3 Buckets, AWS EC-2 Instance• Databases: MySQL.• IDE’s & Tools: PyCharm, Jupyter/Anaconda, Excel, Flask ,Tableau(Beginner)