Summary
Overview
Work History
Education
Skills
Projects
Positions Of Responsibility
Extracurricular Activities
Languages
Websites
Timeline
Generic
VED BARVE

VED BARVE

Mumbai

Summary

Analytical professional with technical knowledge and critical thinking skills to thrive in data-driven environments. Tackles challenges with positivity and drive to overcome problems .

Overview

4
4
years of professional experience

Work History

Intern

Directorate of Economics and Statistics
Mumbai
01.2025 - Current
  • I worked with NFHS datasets from the IIPS catalog to calculate the Multidimensional Poverty Index of Maharashtra using the Alkire-Foster methodology.
  • Developed a district-wise Multidimensional Poverty Index (MPI) using household-level data.
  • Enabled data-driven policy recommendations by identifying high-poverty districts, aiding targeted interventions.

Research Intern

JM Financials
Mumbai
05.2021 - 07.2021
  • Compiled a multifaceted report on Electrical Vehicle Market and its future in India.
  • Used primary and secondary data to analyze seller needs and problems in India.
  • Analysed various subsidies and its effects on Market and forecasted future growth.

Education

Master of Science - Applied Statistics and Analytics

NMIMS
Mumbai
07.2025

Bachelor of Science - Applied Statistics And Analytics

NMIMS
Navi Mumbai
06.2022

Skills

  • Data visualization and analysis
  • Python Programming
  • Deep learning frameworks
  • Sentiment analysis techniques
  • Machine learning
  • Statistical modeling

Projects

  • Hospital Readmission Reduction Program

The project aims to decrease the frequency of patients returning to the hospital shortly after discharge, enhancing patient outcomes, and reducing healthcare costs. Analyzed 130 hospitals over 10 years and used ML techniques, like random forest, to predict patients likely to be readmitted, primarily using Python

  • Estimating VaR using copulas

Ten years of RBI data on currency exchange rates, 2,430 observations, were analyzed using t copula and bb7 copula models to calculate daily value at risk at a 99% confidence interval, and VaR was found to be 1.36% This demonstrates proficiency in risk management, primarily using SQL, RStudio, and Python 

  • Machine learning for customer segmentation and loyalty

Performed RFM analysis on 500,000 retail orders, segmenting 4,000 customers into three categories, employed logistic regression to identify key revenue drivers with an accuracy of 85 percent, and developed marketing strategies to boost business growth using ML techniques, primarily using SQL, Python, and Tableau

  • Sentiment analysis of Indian elections (LS) 2019

Performed sentiment analysis on 46,000 tweets to predict the Lok Sabha election winner in 2019, primarily using Python and Tableau

Positions Of Responsibility

Class Representative: 

(06/01/19-06/30/21) 

Acted as the primary point of contact between students and faculty, ensuring smooth communication and issue resolution Assisted in organizing college events, guest lectures, and academic workshops

Extracurricular Activities

Drama Club Member:

 (07/01/19-03/31/22)

  • Wrote scripts for two plays, showcasing strong storytelling, narrative development, and creative writing skills.
  • Played the lead role in one play, demonstrating public speaking, stage presence, and confidence.
  • Assisted in casting decisions, evaluating actors based on performance, suitability, and role adaptability.
  • Organized and participated in college drama events, improving event planning, leadership, and coordination skills.

Executive Member Student Council:

(07/01/19-03/31/22)

  • Organizing Committee Tvaran event
  • Organized marathons for social issues
  • Lead Creatives Club

Languages

  • English
  • Hindi
  • Marathi

Timeline

Intern

Directorate of Economics and Statistics
01.2025 - Current

Research Intern

JM Financials
05.2021 - 07.2021

Master of Science - Applied Statistics and Analytics

NMIMS

Bachelor of Science - Applied Statistics And Analytics

NMIMS
VED BARVE