Richa Singh

Richa Singh Email and Phone Number

Business Intelligence and Data Intern / MS CS @ NJIT | Data and AI Enthusiast | AWS Certified | Senior Software Engineer @ John Deere India | NIT, Surat @ New Jersey Institute of Technology
Richa Singh's Location
New York City Metropolitan Area, United States
Richa Singh's Contact Details

Richa Singh personal email

About Richa Singh

Richa Singh is a Business Intelligence and Data Intern / MS CS @ NJIT | Data and AI Enthusiast | AWS Certified | Senior Software Engineer @ John Deere India | NIT, Surat at New Jersey Institute of Technology. Colleagues describe her as "I had the pleasure of working with Richa on several data engineering projects. She joined my team as a graduate trainee engineer and quickly mastered the data engineering aspects, demonstrating her expertise in Apache Spark, Scala, and SQL. Richa is a quick learner, a problem solver, and a great team player. She consistently delivered high-quality work, designing and optimizing data pipelines that significantly improved our data processing capabilities. I highly recommend Richa and am… Show more" and "I had the pleasure of working with Richa at JD, where we collaborated on an organisational initiative. Beyond our sprint work, Richa and I teamed up to develop a cutting-edge solution leveraging Power Apps and Power Automate. Her exceptional problem-solving skills, attention to detail, and dedication to delivering high-quality results were instrumental in driving this App's success. Richa demonstrated: - Excellent technical expertise in Power Apps and Power Automate - Strong… Show more"

Richa Singh's Current Company Details
New Jersey Institute of Technology

New Jersey Institute Of Technology

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Business Intelligence and Data Intern / MS CS @ NJIT | Data and AI Enthusiast | AWS Certified | Senior Software Engineer @ John Deere India | NIT, Surat
Richa Singh Work Experience Details
  • New Jersey Institute Of Technology
    Business Intelligence And Data Intern
    New Jersey Institute Of Technology Feb 2024 - Present
    United States
    • Designed and developed ETL pipelines with SQL and Matillion, enhancing data preprocessing efficiency by 45%.• Developed workflows for key business use cases using Matillion, DbSchema, Snowflake, and Oracle, improving operational efficiency by 20%.• Engineered robust KPI validation scripts, improving MicroStrategy grid report accuracy by 25%, directly supporting high-impact stakeholder decisions across orgs.• Reduced defects by 70% through Python and SQL validation across data… Show more • Designed and developed ETL pipelines with SQL and Matillion, enhancing data preprocessing efficiency by 45%.• Developed workflows for key business use cases using Matillion, DbSchema, Snowflake, and Oracle, improving operational efficiency by 20%.• Engineered robust KPI validation scripts, improving MicroStrategy grid report accuracy by 25%, directly supporting high-impact stakeholder decisions across orgs.• Reduced defects by 70% through Python and SQL validation across data sources and transformation layers.• Collaborated with cross-functional teams to integrate REST APIs into Splunk dashboards, reducing incident response time by 90%.• Applied data warehousing concepts like Star schema, SCD, ETL processes to support BI operations effectively. Show less
  • Verizon
    Data Scientist - Graduate Intern
    Verizon Sep 2024 - Dec 2024
    New Jersey, United States
    • Optimized data processing by 40% for 100 GB+ datasets by developing scripts with multiprocessing capabilities, with core and worker specifications, to streamline data structuring and flattening processes.• Streamlined ETL workflows on HPCs using Airflow DAGs, boosting data pre-processing efficiency by 35%.• Enhanced model performance and event classification on Verizon's WebScale dataset by applying feature engineering and implemented an ensemble anomaly detection approach combining… Show more • Optimized data processing by 40% for 100 GB+ datasets by developing scripts with multiprocessing capabilities, with core and worker specifications, to streamline data structuring and flattening processes.• Streamlined ETL workflows on HPCs using Airflow DAGs, boosting data pre-processing efficiency by 35%.• Enhanced model performance and event classification on Verizon's WebScale dataset by applying feature engineering and implemented an ensemble anomaly detection approach combining Isolation Forest, Local Outlier Factor, frequency-based, and pattern-based methods using scikit-learn.• Developed neural network model with TensorFlow and Keras, leveraging LSTM and Embedding to optimize sequential data workflows and enhance predictions.• Created interactive visualization dashboards for displaying anomalies and log details using React and Django, improving system monitoring. Show less
  • John Deere India Pvt. Ltd. (Jdtci)
    Senior Software Engineer
    John Deere India Pvt. Ltd. (Jdtci) Aug 2021 - Jun 2023
    Pune, Maharashtra, India
    • Revamped resource upgrade processes with AWS (EC2, RDS, Elastic Beanstalk) and shell scripting, reducing recurring vulnerabilities by 90%.• Transformed data ingestion pipelines using Databricks workflows, reducing processing time and costs by 85%.• Spearheaded app deployment with AWS blue-green deployment, ensuring 99% availability with minimal downtime.• Implemented CI/CD pipelines with GitHub Actions, Jenkins, and SonarQube, integrating BDD/TDD testing methodologies to achieve a… Show more • Revamped resource upgrade processes with AWS (EC2, RDS, Elastic Beanstalk) and shell scripting, reducing recurring vulnerabilities by 90%.• Transformed data ingestion pipelines using Databricks workflows, reducing processing time and costs by 85%.• Spearheaded app deployment with AWS blue-green deployment, ensuring 99% availability with minimal downtime.• Implemented CI/CD pipelines with GitHub Actions, Jenkins, and SonarQube, integrating BDD/TDD testing methodologies to achieve a 30% reduction in deployment timelines.• Engineered a user management and onboarding application leveraging Microsoft Power Automate and Power Apps, streamlining the employee onboarding process and reducing onboarding time by 60%.• Developed and automated Spark SQL validation scripts for daily ETL pipelines utilizing diverse raw data sources in EDL, enhancing data accuracy and consistency by 65%.• Partnered with cross-functional teams to accelerate product delivery timelines ServiceNow integration, improving defect resolution rates by 20%. Show less
  • John Deere India Pvt. Ltd. (Jdtci)
    Graduate Engineering Trainee
    John Deere India Pvt. Ltd. (Jdtci) Aug 2020 - Aug 2021

Richa Singh Education Details

Frequently Asked Questions about Richa Singh

What company does Richa Singh work for?

Richa Singh works for New Jersey Institute Of Technology

What is Richa Singh's role at the current company?

Richa Singh's current role is Business Intelligence and Data Intern / MS CS @ NJIT | Data and AI Enthusiast | AWS Certified | Senior Software Engineer @ John Deere India | NIT, Surat.

What is Richa Singh's email address?

Richa Singh's email address is ri****@****ail.com

What schools did Richa Singh attend?

Richa Singh attended New Jersey Institute Of Technology, Sardar Vallabhbhai National Institute Of Technology, Surat, Gems Our Own Indian School , Dubai, Uae.

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