Vidhi Mathur

Operations Associate

Gwalior, Madhya Pradesh, India2 yrs 6 mos experience

Highly Stable

Key Highlights

Stackforce AI infers this person is a Data Analyst with expertise in SaaS and EdTech industries.

Data AnalyticsAutomationData VisualizationData AnalysisProduct Analytics

PythonSQLAirflowETLTableauGoogle SheetsMongoDBRedashGoogle BigQueryCollaborationApache AirflowPandasNumPyGoogle AnalyticsEnglish

2 yrs 6 mos

Total Experience

2 yrs 6 mos

Average Tenure

2 yrs 6 mos

Current Experience

2 roles

Sep 2025 – Present · 8 mos · On-site

Nov 2023 – Sep 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

Feb 2023 – Aug 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.