• Automation Development: Streamlining processes and improving efficiency through innovative automation solutions.

• Business Intelligence Development: Designing and implementing BI strategies to enhance data-driven decision-making.

• Data Science: Applying advanced analytical methods to extract insights and drive strategic initiatives.

• Collaborated on key projects in areas such as:

  • Transaction Fraud Analysis: Developing models to detect and prevent fraudulent activities.

  • Custody Investment Banking Services: Enhancing services through data-driven insights and automation.

  • Service Order Management: Optimizing operations and workflow management.

  • Additionally, served as an Information Security Analyst, ensuring data security and compliance with industry standards.

"Backend": Django and FastAPI
"Frontend": "ReactJS",
"Fields": ["Computer Vision", "NLP", "Generative AI"],
"Database": ["Sql Server", "MongoDB" "SharePoint"],
"ETL": ["Azure Data Factory", "Power Query Editor", "Airflow"],
"Data Visualization": "Power BI", "Tableu,
"Dynamic automation": ["Power Apps", "Power Automate", "Dynamic 365"],
"Workflow orchestration": "Power Automate", "Airflow"]

}

• Understand the business process, analyse the multiple data sources/systems, translate business requirements into technical specifications and subsequently work with technical developers / business stakeholders
• Develop and manage web applications, including the server-side logic in the back and the user experience on the front end.
• Collaborate with cross-functional teams to design, develop and deliver new features and functionality.
• Good understanding of HTTP/HTTPS protocols, CI/CD.
• Good knowledge on writing Shell Scripting and UNIX.

• Skilled in Data analysis & visualization on > Descriptive | Diagnostic | Predictive
• Design, Develop, and Maintain Data Systems and, architecture to enable organizations to make data-driven decisions.
• Understanding the business process, analyzing different data sources/systems, translating business needs into technical specifications, and working with business stakeholders to understand their needs and develop Machine Learning based Solutions.
• Extract necessary data from systems, build processes and develop visualization dashboards and address any ad-hoc queries using SQL, Python, and Power BI.
• Working with various data storage technologies, such as Azure data warehouses, SharePoint, and SQL databases to ensure that data is easily accessible and can be analyzed efficiently using the latest Business Intelligence tools.
• Build ML/AI based solutions that a) leverage/extend existing data warehouse, business intelligence, and analytics infrastructure, b) interface with data governance and enterprise solutions, c) are scalable, repeatable, and effective, and d) adhere to agreed-upon governance and technology norms.
• Using a CI/CD tool and enabling a multi-cluster-native architecture and ecosystem to deliver AI/ML Products with various clean code methods (python), documentation for both developers and users
• Experience with Docker and Kubernetes and large distributed microservice platforms.
• Knowledge of building ML (Dev/Test/UAT) Pipelines using MLOPS tools for Continuous Training/ Integration and Deployment.
• Analyze logs generated as part of the AI code and design mechanisms for capturing, raising red flags, and communicating back to the relevant stakeholders.
• Skills in AWS DevOps, Python, Ansible, Bash, and the creation, scheduling, and automation of CI / CD pipelines.
• Good understanding and experience with continuous integration/continuous delivery (CI/CD) concepts, as well as scalable distributed data platforms and software deployment automation.
• Skills in hybrid cloud transformation that includes AWS and Azure.
• Data Analysis,
• Exploratory Data Analysis,
• Data Preparation,
• Data Modeling and Database Design,
• Excellent communication skills in writing and verbal,
• Strategic thinking,
• Content writing,
• Web Development,
• Animation/Motion Graphic.**
• Working closely with developers on ML-driven projects and helping to operationalize prototypes.
• Helping to encourage changing ways of working to modern-day agile practices
• Working with the teams to promote application automation, deployment, configuration, and monitoring integration.
• Assisting in streamlining and automating build jobs with a view to moving towards a CI/CD deployment model.
• Providing ongoing support for development environment builds.

Technical Skills:

👉 A passionately curious person, who likes to solve business problems with technology and add value to customers.

👉 Initiative, Optimistic, Friendly Attitude and Cooperative nature

• 📫 How to find me:

  • 💡 Blog

  • 🏢 LinkedIn

  • 🔈 Youtube

    #️⃣"Knowledge Sharing" :point_right: ⏯️https://youtu.be/HO4gG9pIMWM

    How devoted are you to yourself? https://www.dolarbogori.com/post/excuses-vs-loyalty