Data Scientist familiar with the gathering, cleaning, and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic, and other analytical techniques. Highly organized, motivated, and diligent with significant background in Machine learning in the telecom domain.
Technical Skills -
• Languages: Python, C, Java, shell scripting, SQL, PL/SQL.
• Hadoop Ecosystem: Hdfs, Yarn, MapReduce, Hbase, Hive, Pig, Oozie, Sqoop, Zookeeper
• Hadoop Platform: Cloudera
• Kafka, Spark Streaming
• Blockchain technology – Hyperledger Fabric and Ethereum
• Good knowledge of Data Structure and Algorithms.
• Software: Eclipse, PyCharm, Jupyter notebook
• Operating Systems: Linux, Windows.
• Databases: MySql, Maria DB, ClickHouse, Infobright, MongoDB.
• Cloud Service Platform: Amazon Web Services.
• Web Designing, NodeJs, and ReactJs
• Twitter, WhatsApp APIs.
• Alexa skill development using python
• Analytics tools: Rapid Miner, Number Theory Platform
• Machine Learning, Text Analytics
• Algorithms: Linear Regression, Logistics Regression, K Nearest Neighbors, Support Vector Machines, K Means Clustering, Ensemble Methods: Bagging, Boosting, Random Forest, Naïve bays and decision tree
• Python- Numpy, Pandas, Matplotlib, Seaborn, Scikit Learn, Bokeh.
• Deep learning frameworks: Keras and TensorFlow