Nittala Satya Srinivas — Data Engineer

Experience in the areas of Hadoop Ecosystem (SQOOP , SPARK , HDFS , HIVEQL) with LINUX or UNIX environments & Good exposure on Apache products like Hbase , Solr , ATLAS etc and Cloud Computing with AWS & Machine learning Algorithms (SCIKIT Learning with Pandas) Experience briefing :– Assess the effectiveness and accuracy of new data sources and data gathering techniques. Align architecture with business requirements Use programming language and tools Identify ways to improve data reliability, efficiency and quality Conduct research for industry and business questions Use large data sets to address business issues Deploy sophisticated analytics programs, machine learning and statistical methods Prepare data for predictive and prescriptive modeling Use predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes. Working with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions. Mine and analyze data from databases to drive optimization and improvement of product development and business strategies. Summary :– Innovation and advanced problem-solving skills in artificial intelligence with 3 years of experience of developing state-of-the-art machine learning technologies Detail-oriented data scientist; combining advanced communication, analytical thinking, and machine learning engineering skills to offer solutions in big data engineering, computer vision. Strong presentation and teamwork skills with experience of leadership at EU projects in close partnership with big data industry and training talents for statistical thinking, generating and presenting actionable insights Key Projects and Engagements :– Selecting features, building ,optimizing classifiers and Information Extraction techniques using machine learning techniques Data mining using state-of-the-art methods Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleaning, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Key Competencies :– BIG DATA Hadoop Eco Systems Probability and Statistics Cloud Computing (AWS) Data Modeling & Evaluation Machine Learning Algorithms Distributed Computing Python , Natural Language Processing, ML Op’s, Dev Op's

Stackforce AI infers this person is a Data Engineering and Analytics expert with a focus on Big Data and Machine Learning.

Location: Hyderabad, Telangana, India

Experience: 12 yrs