Looking for a job

Vaishnavi Deshmukh

@vaishnavideshmukh5

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I build SQL, Python, and Power BI dashboards that turn business data into actionable insights.

India

Message

What I'm looking for

I'm looking for a data-focused role where I can use SQL, Python, Power BI, and ETL to improve data quality, automate reporting, build KPI dashboards, and translate stakeholder requirements into actionable insights.

At Delfine India Technology, I analyze business data for 6+ stakeholders and departments using SQL, Python, Excel, and Power BI.

I've cleaned, validated, transformed, and explored datasets of 100,000+ records, improving data accuracy by 20%. I also resolved data-quality issues across 5+ source systems, improving downstream reporting reliability by 20%.

I've built and maintained 8+ interactive Power BI dashboards and KPI reports, reducing manual reporting time by 35%, while optimized SQL queries reduced query and report turnaround time by 25%.

I also bring commercial documentation experience from managing 50+ end-to-end tenders at Mchrysalis Technologies, alongside hands-on projects in e-commerce analytics, churn prediction, and sales forecasting.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Delfine India Technology

Sep 2022 - Present (4 years 1 month)

Analyzed business data using SQL, Python, Excel, and Power BI to generate actionable insights for 6+ stakeholders/departments. Built and maintained 8+ interactive Power BI dashboards and KPI reports, reducing manual reporting time by 35%.

SQL Python Excel Power BI ETL Data Cleaning Data Validation data transformation Dashboard Development KPI Reporting Pandas Power Query

Tender Executive

Mchrysalis Technologies

Jun 2021 - Jul 2022 (1 year 1 month)

Managed end-to-end tender processes including search, document review, bid preparation, quotation submission, and post-tender follow-up for 50+ tenders, achieving a 30% win/qualification rate. Coordinated EMD, Bank Guarantees, Purchase Orders, invoices, and e-way bills, maintaining 98% on-time submission accuracy.