P

Pranjal Teri

Operations Associate

India6 yrs 11 mos experience
Highly Stable

Key Highlights

  • Achieved $1.5M annual savings through strategic forecasting.
  • Reduced international transaction fees from 6% to 3.5%.
  • Automated fee bookings leading to $1.2B annual transactions.
Stackforce AI infers this person is a Fintech professional with strong data analysis and cost-saving capabilities.

Contact

Skills

Core Skills

SqlData AnalysisData Visualization

Other Skills

PythonTableauKibanaCAndroid DevelopmentSoftware TestingHTMLMySQLLinuxMicrosoft ExcelMicrosoft OfficeMicrosoft AzurePHPJavaScriptPycharm

About

Ardent practitioner of leveraging data centric opportunities encompassing teams that target Customer Obsession, Payments, Finance, Tax & driving Acquisition volumes across notable channels via my past experiences. Strong background with a Bachelors degree in Information Technology which paved the way for significant contributions across Transportation, HealthCare and Delivery on a Global Scale. Experienced self-starter and individual contributor who likes to meddle around with problem solving scenarios, use data to extract insights, create automation scripts & visualise key takeaways to internally and externally natured environments.

Experience

6 yrs 11 mos
Total Experience
5 yrs 2 mos
Average Tenure
1 yr 9 mos
Current Experience

Godaddy

Payments Analyst

Aug 2024Present · 1 yr 9 mos · Gurugram, Haryana, India · Remote

  • Cost Savings
  • ● Forecasted processor savings pre and post launch of new collections entities across UK and NL MIDs and driving L3 fee savings accounting for $1.5M/annum.
  • ● Led tier pricing across processors by reviewing the contracts against the actual transactional volume/fee% using SQL and saving $600K in overcharged fees.
  • Fees & Settlement Recon
  • ● Led strategic insights via Tableau to pivot for an internal data ingestion warehouse, processing settlement and fee reporting across processors and ultimately saving $2M/annum by eradicating external support for data ingestion.
SQLPythonData Analysis

Uber

3 roles

Payments Analyst

Promoted

Jan 2022Jul 2024 · 2 yrs 6 mos

  • FinTech
  • ● Developed data pipeline to ingest settlement volumes, analysed the processor ledger using SQL and ultimately lead retrieval of $6M from a deactivated APAC collection account.
  • ● Led fee cost savings for international transactions by leveraging SQL for data cleaning, extraction and
  • visulisation via Tableua for the associated fees per PSP at a global level, reducing fees from 6% to 3.5%,
  • resulting in ~$600K savings/annum.
  • External Partnerships
  • ● Debugged pain points & gaps in the reporting structure by analysing the ingestion process feeding the data pipeline, enhanced SLAs, fee reporting at a transactional level & accurate fee forecasting leading to ~$1.2B automated fee bookings per year.
  • ● Managed Payment Partnerships for 12 major providers, ensuring smooth money movement (recon between ledger and Accounting) and accurate data representation & visualisation.
  • Reporting Framework
  • ● Global Analysis to ensure accurate reconciliation and MEC of top processors based on highest materiality and transaction volumes by visualising via Tableau powered by data extraction leveraging SQL, leading to accurate closure of $6M in the accounting books.
  • ● Onboarded settlement reporting for dLocal and PayU - resolving reporting gaps, accurate fee reporting at a transactional level, reducing gaps by ~$4M/annum, bagged $1M incentive in fees and ultimately unlocking new business opportunities in LatAm.

Data Analyst IV

Nov 2020Jan 2022 · 1 yr 2 mos

  • Experience at Uber encompasses collaborating closely with CommOps and Ops teams internally along with Stakeholder Management across external partners for APAC.
  • Started my journey with the CommOps part of the world for about 1.5 years and then switched to gain an amalgam of experience on the Ops side which helped gain acute business knowledge along with the data driven approach behind each decision.
  • Switched over to the Ops part of the business to analyse partnership health across various digital payment modes in APAC driving close collaboration with Business Development, Rider Ops, Finance and Internal Tax Teams.

Data Analyst III

Apr 2019Oct 2020 · 1 yr 6 mos

  • Exposure with CommOps targeting Customer Obsession metrics to bolster Customer Satisfaction and drive User Engagement. Deployed high cost savings automations across ANZ, EMEA and later on at a Global level which increased CommOps support directly attributed to the App.

Mylo

Growth Team Intern

Sep 2018Oct 2018 · 1 mo · Gurgaon, Haryana, India

  • Worked as an intern in the Growth Team to identify the growth metrics and elevate those points in order to boost the growth and uplift the community of the App. The work conducted has been split into the weeks in which I achieved them :
  • 1. Worked on a scrapping project which involved crawling a particular website for content related to questions.
  • To boost the number of questions on our community page and provide a buffer in order to bolster the community content.
  • 2. Developed two bots for seeding questions and providing daily slack reports.

Tech mahindra

Intern

Feb 2018May 2018 · 3 mos · Noida Area, India

  • Worked as a Junior Data Analyst

Education

Manipal University Jaipur

Bachelor of Technology — Information Technology

Jan 2014Jan 2018

Stackforce found 100+ more professionals with Sql & Data Analysis

Explore similar profiles based on matching skills and experience