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Sarthak Mahendra

Sarthak Mahendra

Cloud Engineer

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location of Sarthak MahendraCalgary, Alberta, Canada

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  • Timeline

  • About me

    Azure AI Engineer @ LTIMindtree | Power BI | SQL | Python | Excel | Azure | Machine Learning

  • Education

    • Symbiosis Institute of Computer Studies and Research

      2018 - 2019
      Master of Science - MS Data Science

      Coursework:Python Programming | R Programming | Data Analysis using Python | Mobile Analytics | Machine Learning | Deep Learning | RDBMS | Data Warehousing | Spatial Databases | Big Data | Cloud Programming and Web Services (AWS) | Text Analytics

    • Durham College

      2022 - 2023
      Postgraduate Degree Artificial Intelligence Analysis, Design and Implementation 4.5/5 President’s Honors Roll

      Project during the Program:1. Customer Churn Prediction using Machine Learning: Implemented predictive analytics model using Azure ML to forecast customer churn, achieving 80% accuracy and reducing churn rate by 15%.Skills:Scripting: Python | RDatabases: MYSQL | SQL Server | NoSQLBI Tools: Power BI | TableauMachine Learning: Algorithms | FrameworksIDE: Microsoft Office Products | VS Code | PyCharm | Docker | Anaconda | Jira

    • Vivekananda Institute of Professional Studies

      2014 - 2017
      BCA Web/Multimedia Management and Webmaster

      1. Programming Languages: C, C++, Java, Python and their applications in software development. OOPS Concepts2. Data Structures and Algorithms: Fundamental Data Structures (arrays, linked lists, trees, graphs) and algorithms for efficient problem-solving.3. Database Management Systems: Concepts of Database Design, SQL queries, Normalization, and Database Management.4. Web Development: Learning HTML, CSS, JavaScript, and Web Development frameworks to create… Show more 1. Programming Languages: C, C++, Java, Python and their applications in software development. OOPS Concepts2. Data Structures and Algorithms: Fundamental Data Structures (arrays, linked lists, trees, graphs) and algorithms for efficient problem-solving.3. Database Management Systems: Concepts of Database Design, SQL queries, Normalization, and Database Management.4. Web Development: Learning HTML, CSS, JavaScript, and Web Development frameworks to create interactive and responsive websites. Show less

    • Durham College

      2022 - 2022
      Postgraduate Degree Data Analytics for Business Decision Making 4.5/5 President’s Honors Roll

      Projects during the Program:1. Sales Analysis Dashboard with Power BI: Developed Power BI dashboard with drill-down capabilities to analyze sales data, leading to a 10% increase in sales revenue and improved decision-making. 2. Time Series Analysis: Analyze time-dependent data such as stock prices, weather data, or website traffic patterns to extract trends, seasonality, and patterns.Skills:Scripting: Python | RDatabases: MYSQL | SQL Server | NoSQL BI Tools:… Show more Projects during the Program:1. Sales Analysis Dashboard with Power BI: Developed Power BI dashboard with drill-down capabilities to analyze sales data, leading to a 10% increase in sales revenue and improved decision-making. 2. Time Series Analysis: Analyze time-dependent data such as stock prices, weather data, or website traffic patterns to extract trends, seasonality, and patterns.Skills:Scripting: Python | RDatabases: MYSQL | SQL Server | NoSQL BI Tools: Power BI | TableauIDE: Microsoft Office Products | VS Code | PyCharm | Docker | Anaconda | Jira Show less

  • Experience

    • Mindtree

      Nov 2019 - Nov 2021
      Cloud Engineer

      Client: Microsoft• Worked on Azure Data Factory for creating Generic pipelines to store data from various sources into Microsoft's new data warehouse for business analytics.• Created multiple configuration tables in Data Lake to store metadata information of different Generic pipelines in-order to orchestrate as per different scenarios in Azure Data Factory.• Created notebooks in Azure Databricks for data engineering of Microsoft data centre's metadata to provide final reporting data to business planners.• Development of application was done using Spark Scala code for data engineering processing to meet the client expectations.• Built ADF pipelines to trigger dynamically for different set of ADLS files and store in target database as per JSON input.• Developed ADF pipeline to store logs of each run of ADF pipeline in SQL database.• Developed a centralized logging database which stores the logs of Databricks run, Azure Data factory pipeline runs and every stored procedure runs. Show less

    • LTIMindtree

      May 2024 - now
      Azure AI Engineer

      Client: Microsoft• Develope and support generative AI solutions for automating business services using Azure ML and AI Services.• Integrate various Azure Cognitive Services into business applications, leveraging Azure OpenAI, Azure Cognitive Search, Azure AI Service, and Azure App Services to create responsive AI chatbots and generative AI solutions.• Identify, test and troubleshoot bugs and issues using Microsoft Azure Machine Learning and Azure Cognitive Services.• Implement security best practices for data storage, access control, and model deployment, while assisting businesses with networking issues, including V-Nets, private endpoints, network firewalls, and IAM (Identity Access Management).• Possess a strong understanding of LLMs and their integration into ML workflows.• Advise and assist businesses in adopting and implementing Azure AI services, reducing cloud operation costs by 30%. Show less

  • Licenses & Certifications