Ram Narayan Tiwari

Business Analyst

Noida, Uttar Pradesh, India2 yrs 1 mo experience

Key Highlights

  • Data Analyst Hackathon Winner at Grow Data Skill.
  • Automated reporting processes, improving efficiency by 40%.
  • Strong command in Python, SQL, and Power BI.
Stackforce AI infers this person is a Data Analyst with expertise in Fintech and data automation.

Contact

Skills

Core Skills

Data AnalysisSqlBusiness Analysis

Other Skills

Microsoft ExcelSQL Server Management StudioPower BIAdvanced ExcelPythonSAP ERPMicrosoft Power BIMicrosoft AccessT-SQL Stored ProceduresStrategic Account GrowthOperational EfficiencyFinancial Variance AnalysisBusiness RequirementsCommunicationAccount Reconciliation

About

๐Ÿ‘‹ Hello my name is Ram Narayan Tiwari. ๐Ÿ™ƒ I've done 3 month data analyst training at Grow Data Skill. ๐Ÿ† Data Analyst Hackathon Winner (3rd Rank) @Grow Data Skill . ๐Ÿ™ƒ I've strong command in python, Microsoft excel, MYSQL, SQL, Oracle and Power BI. ๐Ÿ™ƒ I've good knowledge in C , C++ programming languages. ๐ŸŒฑ Iโ€™m currently learning Advance Python programming language and Power Bi. ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on Data Analyst Projects to gain some knowledge. โญ I've done 10+ projects using Python , MYSQL, MS Excel and Power BI.

Experience

2 yrs 1 mo
Total Experience
1 yr
Average Tenure
1 yr
Current Experience

Solv

Senior Specialist

May 2025 โ€“ Present ยท 1 yr ยท Noida, Uttar Pradesh, India

  • 1. Collect, clean, and organize financial and operational data from finance systems, bank reports, and seller transaction sources to support accurate reconciliation, improving data processing efficiency by 20%.
  • 2. Generate and automate daily, weekly, and monthly revenue reconciliation reports, highlighting pending amounts, received payments, and partner-wise discrepancies. 3. Perform end-to-end bank reconciliation, match company books with bank statements, investigate mismatches, and coordinate with relevant teams for root cause resolution.
  • 4. Automated payment validation routines using SQL to prevent incorrect settlements for orders with short or missing buyer collections, safeguarding financial data integrity.
  • 5. Prepare daily payment advice reports, mapping bank transaction details (seller IDs, UTR, settlement amounts) with internal records to ensure accurate settlements.
  • 6. Analyzed FOS data on buyer interactions, lead generation and GMV impact to provide visibility into field performance and revenue contribution.
  • 7. Use SQL, Power BI, Advanced Excel, and Python to automate reporting, build interactive dashboards, and streamline reconciliation workflows, enhancing overall data accuracy, reducing errors by 30% and improving reporting speed by 40%.
  • 8. Collaborated cross-functionally with Finance, Operations, and Banking teams to support smooth settlement processes and resolve complex data and financial discrepancies.
Microsoft ExcelSQL Server Management StudioData AnalysisSQL

Paytm

Data Analyst

Feb 2024 โ€“ Mar 2025 ยท 1 yr 1 mo ยท Noida, Uttar Pradesh, India ยท On-site

SAP ERPMicrosoft Power BIData AnalysisBusiness Analysis

Education

AKS University, Satna (M.P.)

Master of Computer Applications - MCA โ€” Computer Science

Jun 2024 โ€“ Present

Makhanlal Chaturvedi National University of Journalism and Communication, Bhopal

Bachelor's of Computer Application โ€” Computer Science

Jul 2016 โ€“ Jun 2019

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