u
ukanojia

Upasana K

@ukanojia

Aspiring Business Analyst

India
Inglés, Hindi
Parte de la información aparece en idioma inglés.
Sobre mí
Aspiring Business Analyst with hands-on banking churn analytics experience: analyzed 10,000 records with SQL and presented findings. Certified in Business Analytics & Consulting by PwC India & upGrad. Freelance financial analysis, data analysis, Excel, Tally Prime and MIS reporting professional. I can help with: MIS reports and Excel dashboards Data cleaning and CRM data entry Tally Prime bookkeeping SQL data analysis Business and financial reports Master of Commerce graduate. I deliver on time and double-check accuracy. Message me your task.... Lee más
u
ukanojia
Upasana K
desconectado • 

Revisa mis servicios

Consulta de Data Analytics
I will provide business analytics and actionable insights
DeUSD 10 / proyectoMás información

Experiencia laboral

Freelance

Freelance Documentation, MIS & Reporting

Freelance • Freelance

Apr 2019 - Present • 7 yrs 6 mos

Tools: Excel, Tally Prime, CRM software, Microsoft Office, AI tools • Prepared MIS reports, data summaries and business reports in Excel using SUMIFS, COUNTIFS and Conditional Formatting. • Maintained daily accounting records in Tally Prime: sales, purchases, receipts, payments, journal entries and inventory. • Updated customer data in CRM software and prepared it in the required reporting formats. • Analyzed business data with AI tools and cross-checked results manually to prepare structured client reports. • Prepared financial and accounting reports and presentations for client use. • Proofread and formatted business documents in Microsoft Office for accuracy and consistency.

Project Based Internship | Customer Churn Analytics

Jupiter

Apr 2026 - May 2026 • 1 mo

Tools: SQL, PostgreSQL, PowerPoint, Canva * Analyzed 10,000 banking customer records using PostgreSQL to identify churn patterns * Developed 9 SQL queries with window functions to analyze customer segments. * Identified key churn segments: Germany (32%), age 46-60 (52%), and 4-product customers (100%). * Created a SQL analysis report and PowerPoint presentation to communicate findings. * Presented data-driven customer retention recommendations through a video presentation.