Vidhi Mathur

Operations Associate

Gwalior, Madhya Pradesh, India2 yrs 6 mos experience
Highly Stable

Key Highlights

  • Automated workflows reducing manual effort by 90%
  • Developed dashboards enhancing user engagement
  • Optimized inventory tracking improving recovery rates
Stackforce AI infers this person is a Data Analyst with expertise in SaaS and EdTech industries.

Contact

Skills

Core Skills

Data AnalyticsAutomationData VisualizationData AnalysisProduct Analytics

Other Skills

PythonSQLAirflowETLTableauGoogle SheetsMongoDBRedashGoogle BigQueryCollaborationApache AirflowPandasNumPyGoogle AnalyticsEnglish

Experience

2 yrs 6 mos
Total Experience
2 yrs 6 mos
Average Tenure
2 yrs 6 mos
Current Experience

Blinkit

2 roles

Assistant Manager

Sep 2025Present · 8 mos · On-site

Analyst

Nov 2023Sep 2025 · 1 yr 10 mos · On-site

  • Automated the monthly payout and penalty computation workflow using Airflow (Python), SQL, and
  • auto-mailers, enabling error-free, DAG-driven distribution of partner-wise payout summaries. Reduced manual
  • effort by 90%, and empowered store partners with attached raw data files for verification.
  • Designed and owned real-time ETL pipelines for SLA-linked incentives, enabling franchise stores to
  • track performance on key metrics—Complaints, In-Store Time, and Fill Rate—through a live SLA grid in the
  • Blinkit Partners app.
  • Partnered with the backend team to design and implement a NATA timestamp in the order funnel, updating
  • in-store time calculations to eliminate SLA payout errors for frozen and PaaS orders caused by rider unavailability.
  • Collaborated with Program Managers to optimize inventory loss tracking, transitioning from stock-level
  • variance to item-level variance reporting. Restructured penalties accordingly, increasing recovery from INR 0.5
  • per order to INR 1.5 per order, improving accuracy and incentivizing better inventory management.
  • Built performance monitoring dashboards in Tableau and Google Sheets to track store-level KPIs in
  • real time, helping operations teams identify and improve underperforming stores.
AutomationPythonSQLAirflowETLTableau+2

Testbook

Analyst ( Data & Product)

Feb 2023Aug 2023 · 6 mos · Navi Mumbai, Maharashtra, India

  • Collaborated cross-functionally with content, marketing, and product teams to extract valuable insights for a specific feature, resulting in a substantial increase in user engagement on the platform.
  • Developed over 10 dashboards, 200+ queries, and visualizations on Redash, aiding various teams in monitoring and evaluating key performance indicators (KPIs).
  • Analyzed Turn Around Time (TAT) for customer responses, contributing to improved customer satisfaction and revenue potential.
  • Utilized data analysis to enhance the organization's service, customer support, and delivery by analyzing the Net Promoter Score (NPS) and thereby increasing customer loyalty.
  • Constructed queries using Google BigQuery, MongoDB, and SQL, implementing query optimization techniques that resulted in cost savings for the company.
  • Collaborated closely with product managers and other business stakeholders to gain a deep understanding of project objectives.
  • Regularly addressed ad-hoc business inquiries through data analysis during daily scrum meetings.
  • Initiated follow-ups to communicate evaluation results and insights obtained.
  • Recognized for exceptional performance and awarded as "Dashing Debut Intern" in April 2023.
MongoDBRedashGoogle BigQuerySQLData AnalysisProduct Analytics

Forage

KPMG Data Analytics Consulting Virtual Intern

Jun 2021Jun 2021 · 0 mo

Education

Jaypee University of Engineering and Technology

Bachelor of Technology - BTech — Computer Science

Jan 2019Jan 2023

Delhi Public School - India

Senior Secondary School — PCM with Computer Science

Apr 2017Mar 2018

Delhi Public School - India

High School

Apr 2015Mar 2016

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