Anup Meshram

Analyze large datasets to provide strategic direction to the business objective. Integrating and transforming the datasets using various sources like Magic ETL 2.0, SQL, Data Fusion, Analyzer, Views explorer, Adrenaline SQL Database. Creating visualization using various charts inside the analyzer to best answer the metrics. Validating the data to make sure the metric should answer the correct insights. Creating cards, setting up an alerts and scheduling it as report to track the metrics on a timely basis via emails. Setting up a PDP policies on the datasets so that the access should be given to the only person who supposed to view the data and the owner and admin member only can view it. Using Sandbox, create and develop the testing environment of domo objects to push the changes up to the production environment via commit and promote the sandbox repository. Improving the UI/UX of dashboards with respective brands for the better experience for a user. For a quick access, doing modification or enhancement on the mobile view of domo interface. Embedding dashboards to a variants of sources using embed code or public/private link to have a smooth experience for the user. Using domo CLI, to quickly automate the ecosystem of domo. Automating the PDP policies on various datasets in a single go using PDP automation. To work on the cross-instance sandbox method, doing virtualization of datasets across the instances. Working on the highly intensive tickets to resolve the customer issues related to connectors, ETL, campaign app, sandbox and all the ecosystem within the domo instance on the timely basis. Escalating some of the product bugs or errors to the engineering team to expedite the resolution.

Performed high level exploratory data analysis on the raw data. Data Pre-processing and Data visualization for making the data insightful. Deploying the best machine learning model for the high accuracy. Experience working with large and complex data sets. Collaborate with data scientists, catalog and document newly created models.

Handling the customers as a specialist on mails, calls and ensure to guide them properly. Escalating the issues to higher desk and provide service-based solution in the exceptional cases. Adhere with the process, business solutions and guidelines while providing the best resolution to the end customers. Keep track on the customers data and generate some insights for the business problems.

Primary job function includes work orders processing & quality control. Processing invoices, bids, reports, cost analysis, data visualization and inspection for quality assurance. Monitoring the overall work performance of the project, handling the team and to prepare reports of work orders. Feeding all the data related results and reports into inbuilt application Vendor360 which later reviewed by the client’s end. Worked on the various US mortgage services projects such as Four corners management, Innercity etc. Client Name: Clayco- Construction engineering company. Objective: The client wanted to migrate their data warehouse, reports, dashboards etc.to the domo environment freshly from a different BI tool. Duties Performed: Support the project manager to deliver the task on timely basis. Creating dashboards and cards as per the metric mapping given by the client. Attending the weekly recurring meeting to gather the business requirements. Presenting the new features of domo in-front of the client related to the tasks if needed. Support in establishing the dev environment using sandbox feature within domo. Creating the proper technical documentation of usage to the client. Work on any changes suggested by the client on production reports. Tasks given by the lead like data validation must performed and fix if any changes are there. Improving the user experience and interaction of dashboards as per the client requirements. Testing the prod and dev environment to push the data up to the target instance properly.