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Naresh Rayala

Big Data Consultant @ The Weather Channel

Data Scientist and ML Engineering

Greater New York City Area

Ranked #426 out of 8,512 for Big Data Consultant in New York

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Naresh Rayala's Email Addresses & Phone Numbers

Naresh Rayala's Work Experience

The Weather Channel

Big Data Consultant

2013 to 2016

Atlanta

Citi

Big Data Consultant/Application Solution Architect

2011 to 2013

New Jersey, United States

Johnson & Johnson

Senior Data Engineer/BI Specialist

2009 to 2011

new jersey

Naresh Rayala's Education

University of Abertay Dundee

MS Software Engineering, Internet Computing

Udacity

Data Scientist Nano Degree, Data Science / Machine Learning / Recommendation Enginess etc

Naresh Rayala's Professional Skills Radar Chart

Based on our findings, Naresh Rayala is ...

Calm under pressure
Matter-of-fact
Questioning

What's on Naresh Rayala's mind?

Based on our findings, Naresh Rayala is ...

56% Left Brained
44% Right Brained

Naresh Rayala's Estimated Salary Range

About Naresh Rayala's Current Company

The Weather Channel

• Responsible for working with the clients in creating strategies and solutions around data ingestion capabilities, storage requirements, governance of data and advanced analytics using open source technologies.• Engineered, implemented, and managed several complex processes to assist the client. • Lead data analytics, set framework for data science and analytics platform• Used Cassandra No SQL Database to...

Frequently Asked Questions about Naresh Rayala

What company does Naresh Rayala work for?

Naresh Rayala works for The Weather Channel


What is Naresh Rayala's role at The Weather Channel?

Naresh Rayala is Big Data Consultant


What is Naresh Rayala's personal email address?

Naresh Rayala's personal email address is s****[email protected]


What is Naresh Rayala's business email address?

Naresh Rayala's business email addresses are not available


What is Naresh Rayala's Phone Number?

Naresh Rayala's phone (212) ***-*346


What industry does Naresh Rayala work in?

Naresh Rayala works in the Information Technology and Services industry.


Who are Naresh Rayala's colleagues?

Naresh Rayala's colleagues are Anatolii Iartys, Natalie Barkley, Lisa Pelusi, Fanny Ji, Steven Schleicher, Steven Hunker, Wilson Liu, Pavel Shklyar, Rob Funk, and Shilpa Kadam


About Naresh Rayala

💼 Past Experience

Naresh Rayala has experience in data compilation, data management and data analysis. He is currently a Big Data Consultant at The Weather Channel from 2013 to 2016 (3 years). At The Weather Channel, he was responsible for working with the clients in creating strategies and solutions around data ingestion capabilities, storage requirements, governance of data and advanced analytics using open source technologies. Naresh Rayala also engineered, implemented, and managed several complex processes to assist the clients. Naresh Rayala used Cassandra to design time series data model for storing the projection model used for risk computations. Naresh Rayala also used Big Data Consultant/Application Solution Architect at Citi from 2011 to 2013 (2 years) in New Jersey, United States. Naresh Rayala also used Big Data ecosystem research and recommendation for Proof of concepts. Naresh Rayala also developed HBase data model on top of HDFS datasets to perform real-time analytics. Naresh Rayala also worked on setting up multi clustered environment and HDP Hadoop Echo-System. Naresh Rayala performed Big Data Initiative for RFP to Implement (Defining Use Case, PoC, Pilot and Productionize the Solution) at JPMorgan Chase & Co from 2009 to 2011. Naresh Rayala also architected and implemented 14+ TB data application on 60+ nodes cluster using Hadoop stack.Naresh Rayala also worked with senior data engineers at Johnson & Johnson from 2009 to 2011 (2 years) in New Jersey, United States. At Johnson & Johnson, he was responsible for working with the clients in creating strategies and solutions around data ingestion capabilities, storage requirements, governance of data and advanced analytics using open source technologies. Naresh Rayala was also responsible for overseeing development processes within the environment including data compilation, data management, and data analysis. Naresh Rayala also created architecture and best practices artifacts to present guiding principles, good practices, qualities and components related to QlikView at Twc. Naresh Rayala was also involved in data model design discussions; helped perform source to target attributes gap analysis, developing target data dictionary, developing source to target data attributes mapping and designing. Naresh Rayala also prepared and submitted Python scripts to automate the E2E processes. Naresh Rayala alsoreviewed the development effort from other team members. Logging defects through Mercury Quality Center etc. Naresh Rayala was also an effective asset to the Senior Data Engineer position at 20th Century Fox from 2006 to 2009 (3 years) in Greater Los Angeles Area. At 20th Century Fox, Naresh Rayala was responsible for all aspects of enterprise warehouse development. Naresh Rayala also created architecture and best practices artifacts to present guiding principles, good practices, qualities and components related to QlikView at TWC. Naresh Rayala was also involved in data model design discussions; helped perform source to target attributes gap analysis, developing target data dictionary, developing source to target data attributes mapping and designing. Naresh Rayala also prepared and submitted Python scripts to automate the E2E processes. He also reviewed the development effort from other team members. Logging defects through Mercury Quality Center etc. Additionally, Naresh Rayala was an effective asset to the Senior


🎓 Education

Naresh Rayala has a Master's degree in Software Engineering from the University of Abertay Dundee. He also has a Data Scientist Nano degree from Udacity. Naresh Rayala is currently an instructor at Udacity. Naresh Rayala's concentration is Data Science / Machine Learning / Recommendation Enginess. Naresh Rayala is also currently working on a Master's in Software Engineering from the University of Abertay Dundee and a Data Scientist Nano degree from Udacity. Naresh Rayala is currently an instructor at Udacity.


💡 Technical & Interpersonal Skills

. Naresh Rayala has a background in data science, engineering, and Wall Street. From 2013-2016, Naresh was a data scientist and ML engineer for The Weather Channel in Atlanta. In this role, Naresh was responsible for working with the clients in creating strategies and solutions around data ingestion capabilities, storage requirements, governance of data and advanced analytics using open source technologies. Naresh is also experienced in Cassandra, Python, HDFS, and Hadoop. Naresh has a Masters in Computer Science from Rutgers University, and a Bachelors in Business Administration from The New England Conservatory of Music. Naresh also has a provisional New Jersey driving license. Naresh Rayala's professional skills:Naresh Rayala has a wealth of experience in designing, implementing, and managing development processes within the environment including metadata driven social media interaction via the REST API's, deployment process to production, security model, user experience, etc. Naresh is also experienced in Cassandra, Python, HDFS, and Hadoop. Additionally, Naresh has a Masters in Computer Science from Rutgers University and a Bachelors in Business Administration from The New England Conservatory of Music. Naresh is currently a Big Data Consultant at The Weather Channel from 2013-2016 in Atlanta. Naresh is an experienced engineer with a background in big data and analytics. He has experience in Cassandra, Python, HDFS, and Hadoop. Naresh is also skilled in documentating the processes at a high-level and low-level which includes creating flow charts for each individual process. He is also skilled in automating the E2E processes.


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In a nutshell

Naresh Rayala's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

2 year(s), 4 month(s)

Naresh Rayala's Willingness to Change Jobs

Unlikely

Likely

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