Machine Learning Specialist

PyTorch, SQL, Scala, PySpark, Research, Deep Learning, Distributed File System (DFS), Consulting, Machine Learning

Laravel – PHP - OOP, JS - Functional, Android - Kotlin, VisualBasic, Arduino – C/C++, Windows 10, Ubuntu, CentOS, Angular, Python, TensorFlow, AI/ML, MySQL/MSSQL

Python, NodeJS, CorePHP, C/C++, Java, JavaScript, Tableau, PowerBI, DBMS, MongoDB, Assembly Language, Git/GitHub, Robotics, Data Science, Machine Learning, Artificial Intelligence, DBMS, Web Development, App Development

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

Python, R, PowerBI, MYSQL, Mongodb, Machine Learning: Linear Regression, Logistic Regression, Decision trees, Random Forest, Association Rule Mining, Clustering (K-Means, Hierarchal), SVM, Time Series, Regression models, confidence intervals, principal component analysis, Dimensionality Reduction.

Data Insights, Data Insights and Presentation, Data Quality Assessment (Power BI, Tableau, MS Office), Data Base Management (SQL server, Excel, Access), UI/UX design (Figma/ Canva), IDE (Jupyter NB/ VS code/ Rapid Miner), Programming Languages: Python/ PHP7/ C++/ C#/ c), Web development (HTML/ CSS/ JS/ Bootstrap)

A skilled individual holds hands on experience in implementing Machine Learning and Deep Learning Algorithms and Produced and submitted various reports on real time data.

A Web Developer with experience in Programming: Java, C#, Python, Database Management, Data Analysis: Gathering, Cleaning, Analyzing, Visualizing and Labeling Data, Developing ML Models, Compiler Design, Computer Networks, Software Engineering, Linear Algebra, Calculus, Probability and Statistics.

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.

Data Scientist with proficiency in Statistics, Linear & Logistic Regression, Cross Validation, Ridge & Lasso Regression, Decision Tree, Ensemble methods, Principal Components Regression, PCA, Clustering, NER, S3, Lambda, Sagemaker, Rekognition, API gateway, Textract, Tableau, R & Python.