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Arpit Ahuja

Business Analyst/Consultant | arpitahuja95@gmail.com

ABOUT

An analyst by passion, engineer by choice, people's person, cooperative, energetic and basket ball enthusiast. Happy to talk to you! Please scroll down to see how I like to spend my free time

EDUCATION

Master of Business Analytics
Sauder School of Business
University of British Columbia

GRADUATING IN OCTOBER 2021
IN PROGRESS

Instrumentation and Control Engineering
Netaji Subhas University of Delhi
formerly Netaji Subhas Institute of Delhi(NSIT), University of Delhi

MAY 2017



WORK

Assistant Manager (Senior Analyst-Product Development)
American Express

Credit and Fraud Risk - Part of 40 member team tasked with improving credit risk mgmt. including loss mitigation and monitoring performance of existing fraud & abuse identification & preventions models & strategies

Key projects include:
  • Financial Relief Program at the onset of Covid 19
  • Idenitifying key Risk parameters to identify Premium customers
  • Big Data - partitioning concept
  • Migration of legacy systems to Bid Data(Hadoop) environment

FEBRUARY 2018 - OCTOBER 2020

Consultant (Business Analyst)
Axtria (US based software and AI driven analytics firm)

Managed end to end analytics based requirements of my US based Life Sciences client.

Key projects include:
  • Devised plan for offline physician targeting to ramp-up sales for 2 common use(Over the counter) drugs
  • Advised on formulation of strategy at channel-level as well as distribution of funds
  • Analyzed online marketing campaigns segmented at geography demographics, physician specialty, frequency and other such factors to drive data-driven sprints

JUNE 2017 - FEBRUARY 2018



RECOGNITION/OTHER ACHIEVEMENTS

American Express : Credit and Fraud Risk- Leadership in Action Award
For work done to devise strategies at the onset of this pandemic(COVID-19)

JUNE 2020

Paper accepted and publised in : Classification of EEG Signals for Epilepsy using Artificial Neural Network
Journal of Intelligent and Fuzzy Systems, IOS Press (ISTA-2017 Special Issue)

Aimed to apply classification techniques on EEG signals to determine whether the patient has suffered from epileptic seizure by extracting various time & frequency domain features. 99.6% accuracy achieved by using Neural Networks to classify EEG.

2017


SKILLS

SQL


Python


Hive/Hadoop


HTML/CSS


Excel


R



OTHER INTERESTS

BIKING

Always in :)

Location : New Delhi, India

NBA(Basketball)

'There's been a lot of talk of me being a one-man show but that's simply not the case. We win games when I score 40 points and we've won when I score 10.', - Mamba

Let's go Lakers

TREKKING (FOLLOWED BY BADMINTON IN THIS CASE)


Let's go trekking/hiking
Location : Somewhere in the middle of The Himalayas, India.



CONTACT

Email
arpitahuja95@gmail.com
aahuj1@student.ubc.ca

Address
Vancouver

Phone & Whatsapp
+91 98-101-191-89

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