Rohit Goyal

Rohit Goyal

Data Analyst

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location of Rohit GoyalBengaluru, Karnataka, India

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  • Timeline

  • About me

    Senior Data Engineer at Bosch || Scaling Cloud Solutions & Optimizing Data Warehouse || Tech Innovator

  • Education

    • CDAC Bangalore

      2021 - 2022
      PG Diploma in Bigdata Analytics Computer Science 81.4%

      Post-Graduate Diploma in Bigdata Analytica from CDAC Bangalore, gaining skills in Linux, Cloud Computing, Java, Python, Big Data, DBMS, Data Visualization, Advanced Data Analytics, Power BI, MS Excel, and Practical Machine Learning.

    • Ajeenkya D Y Patil University

      2017 - 2021
      Bachelor of Technology - BTech Computer Science 8.60

      Activities and Societies: Volunteer at Cyber security and forensic science [CSFS] Computer Science (Cloud Computing and Information Security)

  • Experience

    • Verificient Technologies

      Jun 2021 - Sept 2021
      Data Analyst

      Key Result Areas: Conducted data analysis to extract insights and identified trends, supported decision-making processes. Collaborated with stakeholders to understand data requirements and provide tailored solutions. Ensured the accuracy and integrity of data, upholding high standards of reliability across the organization. Utilized skills in business requirements gathering, client interactions, MS Office, data analysis, and SQL.

    • F13 Technologies

      Sept 2021 - Dec 2021
      AWS Cloud Intern
    • Bosch Global Software Technologies

      May 2022 - now

      1. METIS Managed data processing from various streams, establishing connections between them to create interactive dashboards. Enhanced operational efficiency and monitoring services on on-premises servers, achieving a 60% increase in efficiency, which was recognized by customers. Successfully integrated ARP data, a key log data source, into METIS, resulting in a 25% reduction in hidden assets and providing last-connected location information for over 50% of assets. Optimized MongoDB query performance by refining indexes, leading to a 73% decrease in API read times. Implemented networking concepts to facilitate seamless integration of data sources, utilizing tools such as HDFS, PySpark, SQL, MongoDB, Linux/Unix, Git, Hive, and Python.2. AA India Recommendation System Developed and executed a PySpark pipeline to process over 2 million records, improving product recommendation scores based on specific requirements and loading the results into the database. Created a metrics tracking system customized to business needs, measuring the actual performance of targeted activities and processes. Ensured a robust and efficient data infrastructure for providing accurate and timely recommendations. Engineered a data pipeline using PySpark, Python, SQL, and Linux, optimizing data processing by 40% and reducing query response times by 25%, facilitating quick decision-making. Show less

      • Senior Data Engineer

        Jan 2024 - now
      • Data Engineer

        May 2022 - Dec 2023
  • Licenses & Certifications

    • Data Science Foundations: Knowledge Graphs

      LinkedIn
      Aug 2024
      View certificate certificate
    • Create an Open-Source Project in Python

      LinkedIn
      Feb 2024
      View certificate certificate
    • Oracle Database 12c: Security

      LinkedIn
      Feb 2020
      View certificate certificate
    • Programming with Python

      Internshala
      Sept 2020
    • Introduction to Analytics Engineering

      LinkedIn
      Jan 2024
      View certificate certificate
    • Oracle 12c Database: Administration

      LinkedIn
      Feb 2020
      View certificate certificate
    • AI and the Future of Work: Workflows and Modern Tools for Tech Leaders

      LinkedIn
      Dec 2024
      View certificate certificate
    • Programming in C

      NIIT Limited
      Jul 2018