Narendra Mishra

Experience

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  Infrasoft Technologies

  Jan 2006 - Dec 2012

  Senior Developer specializing in AML and Anti-Fraud Analytics

  During my tenure from 2006 to 2012, I excelled as a Java and Database Developer with expertise in Java, PL/SQL, and T-SQL, ensuring optimal database performance and integration. As a Data Modeling Specialist, I designed ERDs, implemented normalization, and utilized dimensional modeling for effective data management. Additionally, I contributed significantly to ETL development, streamlining data extraction, transformation, and loading processes. My journey extended into Big Data technologies, including Hadoop, Hortonworks, and Cloudera, enabling large-scale data processing and analytics. These experiences have equipped me with a comprehensive skill set to drive data-driven initiatives and contribute to organizational success. Show less

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  Infrasoft Technologies Ltd

  Jan 2013 - Jun 2019

  Senior Principal Consultant with Profound Architectural Knowledge in AML and Anti-Fraud Analytics

  Team Management: My leadership skills through managing diverse teams in data analytics and technology, ensuring effective collaboration and the alignment of our collective expertise with strategic objectives. Containerization & Orchestration (Docker & Kubernetes): Implementing containerized solutions and orchestrating container deployments to enhance scalability and reliability.Data Modeling: I started my career crafting detailed data models, ensuring that data structures were optimized for both efficiency and effectiveness. This foundational experience was crucial in understanding how to design databases that support complex analytics and machine learning workloads.ETL Development: I honed my skills in ETL (Extract, Transform, Load) development, learning the intricacies of data transformation and integration. This involved cleansing, aggregating, and transforming raw data from various sources into a format suitable for analysis.Cloud Platforms (AWS, Azure, GCP): Possessing a profound understanding of both Infrastructure as a Service (IaaS) and Platform as a Service (PaaS).Big data Hadoop: Handling and analyzing massive datasets to uncover hidden patterns, correlations, and trends. Working with Big Data technologies, including proficient use of Hortonworks and Cloudera, to manage, process, and analyze large volumes of data effectively. My expertise ensures optimal performance and valuable insights, driving data-driven decision-making.Java, SQL, and Database Management: My proficiency in Java, SQL, and PL/SQL, coupled with a deep understanding of advanced business logic, has empowered me to expertly navigate and manipulate large datasets. These vital skills form the cornerstone of my ability to manage databases effectively, ensuring data integrity, performance, and accessibility. Show less

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  Kiya.ai

  Jul 2019 - Mar 2024

  Program Manager & Principal Solutions Architect | Advance Analytics, AI & ML

  Passionate and results-driven analytics professional with extensive experience in Real-time Advanced Analytics, Anti-Fraud & AML, AI & ML, and Big data. Adept at leveraging cutting-edge technologies to drive innovation, efficiency, and business success. Team Management: Leading diverse groups in data analytics and technology has refined my leadership abilities, fostering a culture of cooperation and aligning our team's talents with overarching strategic goals. My role has involved mentorship, resource allocation, and project management, empowering each team member to excel and contribute meaningfully.Areas of Expertise:Real-time Advanced Analytics: Turning raw data into actionable insights to enable data-driven decision-making.AI & ML: Developing and deploying machine learning models to solve complex problems and enhance operational efficiency.Data Mesh & Fabric: Designing and implementing scalable and decentralized data architectures to enhance data accessibility and quality.Data-Ops & ML-Ops: Streamlining the end-to-end data and machine learning lifecycle, from data preparation to model deployment and monitoring.Data Lake & Lakehouse: Building and managing large-scale data storage solutions to support diverse analytical and machine learning workloads.Streaming Data Pipeline Building: Crafting robust and scalable streaming data pipelines to facilitate real-time data processing and analytics, utilizing leading technologies such as Flink, Spark Streaming, Kafka, and more.Databricks: Leveraging Databricks to accelerate analytics and machine learning initiatives.Cloud Platforms (AWS, Azure, GCP): Profound understanding of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS), with expertise in utilizing AWS, Azure, and GCP to deliver scalable and reliable solutions that optimize performance and align with business objectives. Show less

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  HCLTech

  Mar 2024 - now

  Practice Director, CoE | Data & AI