Manoj K.
79% Job Success

Machine Learning, DevOps and Big Data Expert

I bring extensive hands-on experience in the realm of data science, showcasing proficiency in various Hadoop components such as MapReduce, Hive, Pig, alongside a deep understanding of AWS cloud services. Over the course of my career, I have successfully executed numerous projects utilizing machine learning techniques for in-depth data analysis. Specifically, I leverage Apache Spark to efficiently process vast datasets for analytical purposes. My expertise extends to the full spectrum of Spark's capabilities, including Spark Streaming, Spark MLlib, and Spark GraphX, which have proven instrumental in enhancing the speed and scalability of data processing in various projects. I have implemented Spark MLlib to develop machine learning models tailored to meet specific client requirements, focusing on prediction and classification tasks. In my current role, I am deeply involved in working with Hadoop components, and I continue to harness the advanced features of Spark, such as Spark Streaming, MLlib, and GraphX, for real-time data processing requirements. Moreover, I actively incorporate DevOps practices into my workflow to ensure seamless collaboration between development and operations teams. This includes the integration of continuous integration/continuous deployment (CI/CD) pipelines, automated testing, and infrastructure as code (IaC) principles. Embracing a DevOps mindset enhances the overall efficiency and reliability of the software development lifecycle. I take pride in my ability to align machine learning methodologies with data processing workflows to meet client demands effectively. This involves leveraging Spark MLlib for predictive modeling and classification tasks, ensuring a holistic approach to addressing client requirements and business objectives. Throughout my journey in data science, I have remained dedicated to staying at the forefront of technology, constantly adapting to new tools and methodologies. I am enthusiastic about bringing this multifaceted expertise, encompassing data science and DevOps practices, to tackle new challenges and make meaningful contributions to future projects.

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  • Apache Spark MLlib
  • NLTK
  • Machine Learning
  • Sentiment Analysis
  • SQL
  • Amazon ECS
  • Amazon DynamoDB