V

Varun Verma

Business Development Executive

Bengaluru, Karnataka, India8 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over 5 years of experience in data-driven decision-making.
  • Led teams in analytics and financial planning roles.
  • Expert in developing data analytics pipelines.
Stackforce AI infers this person is a Data Analyst with expertise in Fintech and SaaS industries.

Contact

Skills

Core Skills

Data AnalysisData Modeling

Other Skills

Deadline OrientedExtract, Transform, Load (ETL)Macro/VBA Coding - ExcelNumPyPandasProduct ManagementPython (Programming Language)ReliabilitySciPyScikit-LearnTeam Leadership

About

Have more than 5 years of experience in problem-solving, starting from defining to structure to delivery by making data driven decisions. Previously worked in Cobot Systems(an Enterprise Analytics company adhering to US clients) as a Data Analyst and then in Udaan(an Indian E-commerce giant) as a part of their Financial Planning and Analysis (FP&A) team. Currently working as Senior Manager, Business Team for Stocks & Mutual Funds categories in Groww, a Fin-tech Startup changing the way India invests

Experience

Groww, india

3 roles

Senior Manager

Promoted

Sep 2022Present · 3 yrs 6 mos

Manager

Aug 2021Aug 2022 · 1 yr

  • Stocks & Mutual Funds

Assistant Manager

Mar 2020Jul 2021 · 1 yr 4 mos

  • Stocks

Udaan.com

Financial Planning & Analysis

Nov 2019Mar 2020 · 4 mos · Bengaluru Area, India

  • Worked in the business finance team of Udaan and was assigned to the Women's Clothing Category.

Cobot systems

Data Analyst

Sep 2017Oct 2019 · 2 yrs 1 mo · Bengaluru Area, India

  • The Frogdata platform is built to provide a multi-enterprise decision analytics system as a cloud-based subscription service for car dealerships in North America & Europe.
  • ||Product Development||
  • Worked on the development of the Data Analytics Pipeline which consists of Extraction, Transformation, Loading (ETL) of Data & produce insightful results using Pandas & NumPy
  • Delivered advanced reporting to interpret consumer behavior & identify potential for upselling helping Auto Dealers take strategic initiatives & more profitable business decisions
  • ||Onboarding Customers||
  • Led a team of 2 Software Developers & 4 Business Analysts with the objective of swift onboarding of client data on our platform & guaranteeing immaculate services 24x7
  • Wrote Pre-Processors for Data cleaning & ensuring Data Quality for various data sources
  • ||Customer Demand Analytics||
  • Responsible for regularly interacting with our clients in the USA, forming relevant projects to accommodate client requests and drive it down to an exit within the deadline.
Data AnalysisPython (Programming Language)PandasExtract, Transform, Load (ETL)Data Modeling

Ey llp

Analyst Internship

May 2016Jul 2016 · 2 mos · New Delhi Area, India

  • Project Name: Electronic Vaccine Intelligence Network (e-VIN)
  • Stakeholders: United Nations Development Program (UNDP), EY, SAMS, Logistimo
  • Brief Description: To provide IT, HR and skill expertise in building the government’s staff capacity for Cold-Chain and vaccine logistics for Universal immunization program.
  • Approach:
  • Formed Macro-enabled Worksheets to keep track of engagement economics and to update Master Ledger centrally as per Time Sheets of Manpower obtained from all State offices
  • Authored a white paper titled “Immunization Reimagined: The Tugboat of Preventive Health”
  • Impact:
  • The worksheets calculate the deviation between the paid manpower cost to our payroll partner SAMS and the actual manpower cost accounted by EY
  • The paper outlines current global scenario of immunization and the challenges countries are facing towards immunization goals. It sketches how implementation of this project obliterates key challenges in Vaccine Logistics Management

Crankout

Business Analyst Intern

Nov 2015Dec 2015 · 1 mo · Mumbai Area, India

  • Approach:
  • Handled & Analyzed database of more than 1000 users for various trends in the orders of the customers
  • Suggested changes in dashboard of the company application to obtain more profitable data
  • Automated the merchant side operations for better and more efficient handling of orders
  • Impact:
  • Categorized geo locations according to profitability to build an efficient marketing strategy
  • Identified key driving factors which affected the sales - optimum time period for orders, orders per different areas at different times and user response according to the requirement
  • More efficient delivery of orders, lowering the no. of failed or wrongly delivered orders by 80%

Education

Indian Institute of Technology, Kanpur

Bachelor of Technology (B.Tech.) — Materials Engineering

Jan 2013Jan 2017

Delhi Public School - Lucknow

High School — Science

Jan 2004Jan 2013

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