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Vineet Kunder

Vineet Kunder

Marketing Developer

Talent
MumbaiMember since April 21, 2026
Data AnalysisStatisticsSQLExploratory Data Analysis (EDA)ETL (Extract, Transform, Load)Power BIGoogle SheetsExcelExecutive DashboardsCampaign AutomationAudience SegmentationCampaign Performance MetricsFan ProfilingData HygieneHTML/CSSFigmaCanvaGoogle Suite (Docs, Sheets, Slides, Drive)Atlassian Suite (Jira)PythonScikit-learnOracle databasesA/B testing
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Data AnalysisStatisticsSQLExploratory Data Analysis (EDA)ETL (Extract, Transform, Load)

About

Analytical and results-driven Analyst with over 2 years of experience in data analysis, campaign operations, and cross-functional project execution. Proficient in SQL, Excel, Power BI, HTML/CSS, and tools like Figma, Canva, Jira and Google Workspace. Skilled in managing end-to-end data workflows, building interactive dashboards, and transforming raw data into actionable insights.

Strong communicator with a proven ability to collaborate across global teams, support strategic decision-making, and streamline reporting processes. Seeking to contribute to high-impact business or product teams by delivering data-led solutions and operational excellence.

Experience

Analyst at ECLERX (2023-09 – 2026-04)

Led the end-to-end execution of targeted, scalable email marketing campaigns for Uber across North America, ensuring alignment with performance, segmentation, and branding goals.

  • Led the end-to-end execution of targeted, scalable email marketing campaigns for Uber across North America, ensuring alignment with performance, segmentation, and branding goals.
  • Utilized SQL and Oracle databases to extract, clean, and manipulate large datasets for audience segmentation, campaign targeting, and behavioral analysis.
  • Developed modular, responsive templates using HTML/CSS and scripting to enhance engagement, reduce production time, and ensure compliance.
  • Built real-time performance dashboards using Excel, Power BI, and Google Sheets to deliver actionable insights to product managers and campaign stakeholders.
  • Managed campaign workflows using Jira, contributing to sprint planning, bug tracking, and documentation for agile operations.
  • Collaborated with cross-functional global teams—including product, marketing, and analytics—to streamline campaign delivery and resolve production issues.
  • Conducted A/B testing and performance analysis on subject lines, layouts, and triggers to support data-driven decisions and user engagement improvements.
  • Actively engaged in client communications to refine campaign logic, improve messaging strategy, and adapt to business priorities.
  • Supported documentation of internal processes, contributed to SOPs, and shared best practices for campaign delivery and QA.
  • Trained and onboarded new team members, enhancing knowledge transfer and team scalability.
  • Applied tools including Figma, Canva, campaign automation platforms, Jira, and Google Workspace to drive operational efficiency and reporting clarity.

Data Analyst at TRAINITY (2023-04 – 2023-07)

Supported project coordination and documentation for 8+ data-driven marketing initiatives with focus on data analysis and executive reporting.

  • Supported project coordination and documentation for 8+ data-driven marketing initiatives.
  • Prepared materials and dashboards using Power BI and Excel for executive briefings.
  • Collaborated remotely with global teams and presented insights to non-technical audiences.
  • Supported coordination and documentation for 8+ cross-functional, data-driven marketing and business intelligence projects, aligning deliverables with stakeholder timelines.
  • Conducted data cleaning, preparation, and transformation using Excel and SQL, ensuring accuracy and consistency in reporting pipelines.
  • Created interactive dashboards and visualizations in Power BI to support executive decision-making and performance reviews.
  • Performed trend analysis, descriptive analytics, and KPI tracking to identify growth opportunities and performance gaps across campaigns.

Data Science Intern at Sparks Foundation (2023-02 – 2023-04)

Conducted data collection, entry, validation, and preprocessing to ensure integrity and readiness for machine learning workflows.

  • Conducted data collection, entry, validation, and preprocessing to ensure integrity and readiness for machine learning workflows.
  • Supported model development by preparing datasets, engineering features, and monitoring outputs using Python and Scikit-learn.
  • Created technical documentation and presented project findings to supervisors, enhancing data transparency and reproducibility.

Education

B.E. in Information Technology – Mumbai University, Kharghar (2019-07 – 2023-06)

Skills

Marketing Developer

Reviews

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