Machine Learning Engineer

An Artificial Intelligence and Data Science undergraduate with knowledge and skills in MS Office: Word, Excel, Powerpoint, Languages: Python, Java, HTML, CSS, JavaScript, MySQL, R, and Tools: Pycharm, Intellij, Netbeans, Visual Code Studio, R Studio.

Python, R, CSS, HTML, PHP, PostgreSQL, SQL, MongoDB, Power Bi, Excel, SQL, Pandas, Seaborn, Matplotlib, Plotty Cufflink, Sci-Kit Learn, SVM, Linear/Logistic/DT RF Regression & Classification, XGB, CATBoost, LightGBM, Tensorflow, Pytorch, NLP, VGG50, InceptionV3, RCNN, Heroku, AWS(BeanStalk), GCP, Arduino, ESP8266(NodeMCU), PIC, Raspberry Pie

Data Analysis tools: Matlab/Octave, SAS, R,Python | OpenCV, VXL, OpenCL, Image processing, Machine learning and Data Analytics techniques | C, Objective-C/Cocoa |Experience with MAC OSX, Windows, Linux |
Experience with Mongo database tools | Microcontrollers, Hardware Languages (VHDL) and platforms (Modelsim)

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, PyTorch, R, MySQL, Java, Core, GIT, CSS, HTML, JavaScript

A Machine Learning Engineer having hands on project experience in Java, C, C++, Python, Matlab Scripting Language, Prolog, Haskell, Assembly Language(MIPS), Keras, Pytorch, Tensorflow, Pandas, NumPy, Matplotlib, OpenCV,  Flask, NLTK, Spacy, Transformers, Pyfhel, Git, Rapidminer, Weka, Google Colab, Android Studio, Proteus, Latex, Scratch, Balsamiq Mockup, Anaconda, Spyder, PyCharm, IntelliJ and Eclipse