Data Scientist

Has experience as a teacher | Skills: Data Science and Visualization tools: Python, RStudio, MS Excel, SQL | Statistical Analysis: Business Statistics, Psychological Statistics, Quantitative and Qualitative Research

Reading: M.Sc. in Artificial Intelligence, Skills: Python, Java, C, TensorFlow, Keras, Natural Language Processing, Azure/ Azure ML, Chatbot/ Conversational AI, OCR, OpenCV, Flask, Sci-kit Learn, Apache Spark, Power BI, Spring Boot, Hibernate, JPA, Maven, Web Services, Docker, Kubernetes, SQL, MongoDB, Git

PowerBI, Tableau, Python, Java, Pandas, Matplotlib, scikit-learn,  Tensorflow, Keras, Pytorch, Matlab/Simulink, Google Cloud ML, Azure ML, IBM Watson, Folium

Digital marketing, Financial Management, Project Management, Negotiation, analytical/statistical skills, data driven decisions, Forecasting future trends, R, SAS, PYTHON, SQL, ML, Deep Learning, NLP

Reading: Master of science in information system, Skills: Machine learning, EDA, data-visualization, Tableu, python, linux, SQL, deep learning, statistical analysis, NLP, RDBMS, Data-mining, Tensorflow, NLTK, LSTM, spacy

Problem Solving with C++, Web Development, Database Design, OOP, Advanced Database Network, Data Structures & Algorithm Analysis, System Analysis & Design, Statistics & Probability, Mathematics, Cloud, Advanced Algorithms, Image processing, Human Computer Interaction, Machine Learning & Neural Networks, Multimedia Programing, Discrete Mathematics

Python, SQL, MS Excel, Machine Learning, NLP, Tableau, SPSS, R, Data Science, Deep Learning

Programming languages: Python, Matlab | Libraries: Pandas, Numpy, Seaborn, Scikit-learn, Matplotlib | Database: MySQL
| ML Algorithms: Linear/Logistic Regression, Clustering, Boosting, Decision tree, Random
forest, SVM, KNN | Data visualization: Tableau, Power Bi, Python | Data Engineering: EDA, Data Preprocessing.

Languages: Python, JavaScript| Database: RDBMS, MySQL, NoSQL, MongoDB | Tools: Visual Studio Code, Google Colab, Jupiter Notebook, Pycharm, PowerBI, Tableau, Spyder| Technologies: ML & DL

Python, SQL, R, Probability and statistics [descriptive & inferential], Mathematics [Linear Algebra, Multivariate Calculus], Machine learning [supervised & unsupervised], Data Visualization [Power bi, Tableau], Web Scraping [Beautiful Soup & Selenium], Tools [Jupyter, Colab, Git, Github], Data Warehouse, Data Mining, Deep Learning, NLP Techniques