Kavin Shah

Masters of Science,
Information Systems at Northeastern University.
"It's not about the success you get, It's about the value you add."
Albert Einstein

Data Analyst

Analyzing with precision.

BI Analyst

Providing right visualization at right time to the right people.

I am Kavin Shah



Transforming data into actionable insights with precision, collaboration and driving decisions across every function. With over 3 years of analytical experience, I specialize in data analysis, manipulation, wrangling, validation, and visualization to transform complex datasets into actionable insights. My strong cross-functional background and extensive stakeholder engagement enable me to drive informed decision-making across diverse teams.











Recent
Projects

Academic and Individual Projects.

Work
Experience

Earned Experience
Added Value.

  • Homesite Insurance, Boston, MA

    Data Analyst(Jan 23-Present) BI Associate(Jan 22-Jan 23)



    •Streamlined Data Flow in GCP - Owned multiple data structures within Google Cloud Platform as a SME.
    •Collaborated with Data Engineering and Data Governance teams to ensure smooth data flow, optimizing content delivery for end users.
    •Spearheaded Migration of Critical Datasets to BigQuery - Demonstrated initiative by taking ownership of migrating critical datasets from SQL Server to BigQuery. This eliminated the manual process and resulted in a significant 95% reduction in processing time, expediting data availability for faster analysis and decision-making.
    •Enhanced Data Accessibility with User-Centric Queries - Developed efficient SQL queries based on user feedback, significantly improving data accessibility and usability for analysts by 50%.
    •Automated Looker Studio Reports to retire legacy tools for 75% Efficiency Gain - Automated multiple excel and SAS reports in Looker Studio, reducing analysis time for Product Analysts and State Managers by an average of 75%. This streamlined analysis and decision-making for data-driven strategy.
    •Collaborated with Data Engineering to Build a Unified BI Dataset o Built Airflow pipelines to create a comprehensive BI Layer dataset, consolidating data from 4 operating companies.
    o Standardized data definitions and metrics across all companies, ensuring data consistency and facilitating accurate analysis.
    o Established a single source of truth for querying and generating dashboards, streamlining analytical process and data exploration for stakeholders. This significantly decreased the number of ad-hoc requests by 80% due to querying simplicity and resulted in a 35% reduction in analysis time for teams.
    •Created Optimized and Comprehensive Looker Dashboards – Led the cross-functional initiative to build efficient and comprehensive dashboards in Looker. Utilized LookML to establish an efficient data structure, enabling data-driven strategy.
    •Delivered High-Performance Dashboard for 10 billion Row Dataset - Successfully delivered a complex dashboard in Looker that conveyed a key metric from a massive dataset (10+ billion rows) with a sub-10 second response time using advanced sql concepts.
    •Monitored Profitability Initiatives for $1 Billion Impact - Led multiple profitability-focused initiative monitoring projects, collaborating across teams to track initiatives targeting over $1 billion in increased profitability.
    •Mentored multiple Co-ops & Ensured Project Success - Provided guidance on business and technical concepts, assisted with project management, and ensured successful project completion.
    •Empowered users through "Snack and Learn" sessions - Equipping them with Looker Studio & BigQuery skills and introducing the concept of CTEs for query optimization. This resulted in a double win: a 15% reduction in ad-hoc requests due to user self-sufficiency, and a 20-40% decrease in analysis turnaround time.

  • Arizona Department of Education, Phoenix, AZ

    Data Reporting Analyst



    •Streamlined Data Reporting & Communication for Stakeholders o Owned the entire data reporting lifecycle for internal stakeholders (directors, chief of staff, superintendent). This included data collection, pre-processing, validation, and creating complex queries for insightful visualizations.
    o Effectively communicated insights through compelling dashboards tailored for both technical and non-technical audiences.
    •Automated Data Request Process & Improved Efficiency - Analyzed historical data requests to automate the data collection process, saving at least 50% of time across 4 teams. This streamlined content delivery and freed up valuable resources for further analysis.
    •Optimized Reporting Queries for Faster Insights - Enhanced reporting queries in Power BI by leveraging advanced techniques. This resulted in a significant 15% reduction in wait time for ad-hoc reports, improving user experience for data consumers.

  • Northeastern University COE, Boston,MA

    Data Assistant



    • Designed a data warehouse and established connection with Power BI to decrease the overall processing time to generate reports by more than 50%.
    • Collected data form programming survey Qualtrics and performed QA to maintain the quality of data.
    • Reduced the issue rate resulting by ambiguous data by 90% by analysing the data and setting a set of pre-defined rules.
    • Analysed the previous 5-year job posting data and created visualization in Power BI which directly impacted the outreach program and help our department Increase the job postings by 13%.
    • Managed the bi-weekly data focus meeting with the internal stakeholders to answer any data related question and provide ad-hoc data reports in excel.

    Northeastern University COE, Boston,MA

    Graduate Teaching Assistant - Big Data Arch & Gov.



    • Mentored students to take a purposeful approach on how to design, supervise and execute data directed projects and comprehend the Big Data technology and architecture.
    • Conducted sessions to help students develop and organize a data driven enterprise to comprehend complex nature of devising and managing data-controlled projects.


  • Granite Telecommunications, Quincy,MA

    Data Analyst Intern



    • Performed Feature Engineering in Data Pipelining project that decreased communication time by 25% and increased the interaction rate 21%, resulting in revenue generation of ~$3 million.
    • Automated the migration process from MsSQL to Hadoop by creating Python script that helped eliminate the manual process of migrating each table individually and save time.
    • Architected metadata and wrote Stored Procedures in MsSQL to populate the website content dynamically by collaborating with cross-functional teams.

  • TeknoPoint, Mumbai,MH

    Data Analyst



    • Automated a report in Tableau for the sales team using filters, parameters and calculated sets that automatically qualified sales lead resulting in a lift in conversion rate of 20%.
    • Responsible for maintaining the integrity of the Database and reporting any issues to the manager.
    • Monitored expenses, sales and revenue; conducted weekly reports in Tableau and presented findings to executives, helping reduce 18% expenses and increase 11% sales over 12-month period.

Contact Me