Vaibhav Mani Pandey

Data Scientist

Delhi, India4 yrs 1 mo experience
Most Likely To Switch

Key Highlights

  • Achieved 98% efficiency in data reconciliation.
  • Automated reporting process reducing SLA by 2 days.
  • Strong analytical skills driving data-driven decisions.
Stackforce AI infers this person is a Data Analyst with expertise in automation and data-driven decision-making in Fintech and Consulting.

Contact

LinkedIn

Skills

Core Skills

Python (programming Language)SqlData AnalysisBusiness Analytics

Other Skills

FlaskPresentationsProblem SolvingSQL Server Management StudioMicrosoft ExcelMatplotlibMicrosoft Power BIData VisualizationData AnalyticsTableauCommunicationLeadershipAnalytical Skills

About

As an aspiring Data Analyst with 1.5 years of professional experience, I am captivated by the transformative power of data and its limitless possibilities. My passion lies in extracting meaningful insights from complex datasets to drive informed decision-making and fuel organizational growth.

Experience

4 yrs 1 mo
Total Experience
2 yrs
Average Tenure
2 yrs 6 mos
Current Experience

Paytm

Senior Associate (Data Analyst)

Nov 2023 – Present · 2 yrs 6 mos

  • Developed and implemented streamlined procedures for automating the reconciliation process, significantly reducing manual efforts and time consumption. Leveraged Python scripting and SQL procedures to create efficient automation workflows, resulting in a remarkable 98% increase in overall efficiency.
  • Extraction and cleaning of large datasets using SQL and Python and execution of reconciliation tasks by systematically processing raw data, ensuring accuracy, consistency, and completeness.
Python (Programming Language)FlaskSQL

Accenture

Associate Software Engineer

Mar 2021 – Oct 2022 · 1 yr 7 mos

  • Extracted and analyzed data from ServiceNow, focusing on incident categories, descriptions, and resolution codes to gain
  • valuable insights for improved incident management.
  • Created comprehensive weekly reports based on the analyzed data, facilitating collaboration with cross-functional teams
  • to address and resolve issues promptly.
  • Automated the data analysis and reporting process, resulting in a significant reduction of up to 2 days in SLA (Service
  • Level Agreement) time. Achieved the target of 97 percent incident resolution within the defined SLA timeframe.
PresentationsProblem SolvingData AnalysisBusiness Analytics

Education

Galgotias College of Engineering and Technology

Bachelor of Technology - BTech — Electrical Engineering

Jan 2016 – Jan 2020

Udaya Public School

Intermediate

Jan 2014 – Jan 2015

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