allstartrio.blogg.se - Rapidminer studio auto model

#RAPIDMINER STUDIO AUTO MODEL FULL#
#RAPIDMINER STUDIO AUTO MODEL SOFTWARE#

Working Knowledge with Hadoop ecosystem HDFS, MapReduce, Hive, Apach Airflow and Apache Spark.Strong experience with Python (3.x) to develop analytic models and solutions, good knowledge of Machine learning with various packages such as Python Numpy, Pandas, SciPy, Datetime, PySpark, MLLib, Scikit-learn, NLTK, TensorFlow, Keras, XGBoost, Matplotlib, Seaborn R DPR, data.table, reshape, caret, dplyr, neuralnet, nnet, caret, MCMC, randomForest, ctree, rpart, lm, glm, nnet, xgboost, ksvm, lda, tm, Markdown, R Shiny.Effective interpersonal skills to interact professionally with a diverse group, including executives, managers, and subject matter experts and build productive and meaningful working relationship across department cooperations to drive business growth.Excellent communication skills to deliver data insights to borad audience to support decision making and business growth.Proficient in writing functional specifications, translating business requirements to technical specifications, created/maintained/modified database design with detailed description of logical entities and physical tables.

#RAPIDMINER STUDIO AUTO MODEL SOFTWARE#

Involved in various phases of Software Development Life Cycle (SDLC) such as requirements gathering, modeling, analysis, design and development with experience in Agile methodologies and SCRUM process.

Experience with A/B test and multivariate experiment design, deployment and evaluation.

Proficient in Tableau and Tableau Server and other Data visualization tools such as Python Matplotlib, Python Pyecharts, R Shiny, R ggplot2 to create visually powerful and actionable interactive reports and dashboards.

Solid SQL Database design knowledge and advanced query skills such as Subqueries, Case, View, Stored Procedure.

#RAPIDMINER STUDIO AUTO MODEL FULL#

Good Experience in Python Machine Learning/Deep Learning Modeling for multiple data sicnece projects of full data science production cycle using various Python libraries NumPy, Pandas, matplotlib, Sklearn, Beautifulsoup, Pyecharts, PySpark, SparkSQL, OpenCV,TensorFlow and Keras.Also an expert of adopting the state of art Big Data and Cloud computing technologies such as Google BigQuery, Dataproc, Dataflow, Azure’s Databricks and Data Factory, IBM Waston Studio to deliver data-based scientific and efficient solutions and actionable insights so that to grow revenues, decrease costs, optimize operations.10 years data analytics, data - driven entrepreneur and IT operation experience specialized in big data analysis tools such as Spark and Hadoop, Machine Learning, sales analysis, customer life value analysis, Product data analysis and building scalable interpretable machine learning models, building end to end data pipelines which included extracting, transforming and combining all incoming data with the goal of discovering hidden insight, involving complex IT business analysis projects with an eye to opitimze business processes and address business problems by providing reliable and scalable data science products, services and solutions.