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Programming Languages and Others: Python, SQL, R, C, C++ ,C#, JavaScript, Tensorflow, Prolog, Json, HTML, CSS | Software tools: Tableau, PowerBI, SSIS, SRS, PISQL, Oracle apex
Python, Pyspark| MySQL, Django, Json| Rapidminer, Dataiku, Apache, sparkELK Stack| Clustering, Regression, Classification, Neural Net, Time Series, XgBoost, Exponential smoothing, similarity score algorithm | NLP: Regex, Spacy, NLTK, Chatbot(dialogflow) Information scrapping, Text preprocessing, Naïve Bayes Classifier |Grafana, Tableau
OS: Windows, Linux | Database/ Server: My SQL, SQL Server | Programming Language: Python, scikit learn, C, C++, OpenCV, Hadoop, R programmig, Django, HTML, CSS, Java, SQL, Javascript, PHP, | Other Software/Tools: PowerBI, Tableau, Excel, Anaconda, jupyter notebook, Google Colab, Kaggle
Troubleshooting, Python Coding, Data Analytics and Visualization, SQL, NoSQL, Machine Learning, NLP, Scraping, Tableau, PowerBI, Future Skills: Apache, Spark, Scale, MangoDB, S3, Hive
Hypothesis Testing, Supervised Learning, Unsupervised Learning | Tools and Frameworks: Python (Keras, Scikit-learn), Python (Numpy, Pandas) | Databases: SQL (MySQL), NoSQL (Mongodb) | Data Visualization/ Engineering
Programming Languages: MongoDB, MariaDB, SQLite, MySQL, Python |Web Technologies: HTML, JavaScript, CSS |Platforms: IBM Bluemix, Pivotal Cloud Foundry | Other Technologies: GitHub, Jenkins
Python( Numpy, Pandas, Matplotlib, Seaborn, SciKit-Learn, Keras, TensorFlow ), JavaScript( Reactjs, Nodejs), RDBMS, MySQL, NoSQL, MongoDB, Cloud, Visual Studio Code, Google Colab Jupiter Notebook, Pycharm, Power BI,Tableau, Spyder, Machine and Deep Learning
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