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Vetted Talent

Swati Singh

Vetted Talent
Tableau Developer and Trainer with 5+ years of experience specializing in Tableau Desktop, Tableau Prep, Tableau Server, and SQL. Proficient in designing, developing, and optimizing interactive dashboards, implementing complex calculations, and ensuring high performance. Experienced across all SDLC phases, including requirement gathering, KPI identification, data modeling, and dashboard deployment. Skilled in data visualization, advanced charting techniques, and leveraging Tableau to deliver actionable business insights.
  • Role

    Tableau Developer

  • Years of Experience

    5.10 years

Skillsets

  • Data Visualization - 2.1 Years
  • Data Analysis - 2.1 Years
  • SQL - 2.1 Years
  • Tableau - 4.0 Years

Vetted For

9Skills
  • Roles & Skills
  • Results
  • Details
  • icon-skill_image
    Lead Analyst/Senior AnalystAI Screening
  • 41%
    icon-arrow-down
  • Skills assessed :Good business acumen, Stakeholder Management, Data Pipeline, Data Visualization, Snowflake, Data Analysis, Python, SQL, Tableau
  • Score: 37/90

Professional Summary

5.10Years
  • Mar, 2022 - Present3 yr 7 months

    Tableau Developer

    Nice Software Solutions
  • Dec, 2019 - Jan, 20222 yr 1 month

    BI Trainer

    J.D. College of Engineering and Management

Applications & Tools Known

  • icon-tool

    Tableau Desktop

  • icon-tool

    Tableau Prep

  • icon-tool

    Tableau Server

  • icon-tool

    POWER BI

  • icon-tool

    SQL

Work History

5.10Years

Tableau Developer

Nice Software Solutions
Mar, 2022 - Present3 yr 7 months
    Worked closely with brand manager store view and design KPIs to track market performance, implemented metrics like growth% that helped stake holders track customer adoption. Developed 20+ Tableau dashboards and 10+ Reports providing insights that allowed management to focus on loyal customers, employees. Created Customer calculations, conditions and filter for various analytics reports and dashboards. Added actions to reports for hyperlinking them to each other and also added URL actions for navigation. Performed Tableau Server admin duties; add users/groups and schedule instances in Tableau Server including weekly data refreshes. Manage Project folders and Users in Tableau Server. Created alerts and subscriptions on reports.

BI Trainer

J.D. College of Engineering and Management
Dec, 2019 - Jan, 20222 yr 1 month
    Delivered training on various BI platforms like Tableau and Power BI. Also delivered training on Database language SQL. Delivered internal projects of College from learning perspective.

Education

  • M.Tech

    Shri Ramdeobaba College of Engineering and Management, Nagpur (2019)
  • B.E

    S. B. Jain Institute of Technology, Management and Research, Nagpur (2016)

AI-interview Questions & Answers

Hello, my name is Swati Singh and I have done my engineering from Nagpur in electronic branch and my M.Tech from Nagpur itself in VLSI design from Ramdev Baba College. I was earlier working as a lecturer in an engineering college providing training to students on BI tools. Currently I am working in iSoftware Solution as a Tableau BI developer since March 2022. I have done various projects on Tableau. My recent project was in healthcare domain.

I have done the ETL in Tableau using Tableau prep as a tool the critical performance metrics that I would focus on. When we are loading a lot of data like from SQL server in Excel and from various data sources and combining the data from different data sources at that time the upload time may increase because of the volume of the data so that is one of the critical performance metrics that I would focus on.

window functions is sql, there are sql window functions but those sql window functions will be used only at the sql level so if we want to improve the tableau performance then we can use tableau window functions so tableau window functions are nothing but they are applied on an already aggregated function the functions which are already aggregated on that we apply window functions, window functions are basically applied on the things that are visible to us in the window of the tableau worksheet there only the window functions get applied like percent of total and all these are window functions

Atomicity, Consistency, Integrity and Doability.

I have not done it in SQL but yes in Tableau we can use incremental leverage using some date field which is always increasing or using some unique ID field

I have not loaded the data into Snowflake, I have used the already uploaded data from Snowflake to be used in Tableau reports.

Thank you very much for your attention, and I hope you have a wonderful week, and a great weekend. God bless. Namaste. Namaste. Namaste.

In front of case, there needs to be some parameter.

So, if I am seeing any discrepancies in the data, what would I do is, first of all, I will check if the data is coming correct in Tableau. If not, I will backtrack the things and go to Tableau prep, check if the output of the Tableau prep is correct. If it is correct, then I will backtrack the whole prep flow to identify where the issue is.

I'm not going to get a work point.

I have not used Python actually.