INTERNSHIP:

Risk and Data Analyst Intern, PayPal, San Jose, CA June 2016 - September 2016

Project – Leverage device data to mitigate risk

Examined various mobile device data variables

Performed exploratory analysis to gain high level insights on account takeover loss

Analyzed the loss rate originating from devices accessing multiple accounts

Developed new variables for point in time sender counts associated with a device

Segmented devices into categories based on the loss amount

Created strategies for mitigating risk resulting in savings worth $ 2.5M WORK EXPERIENCE:

Analyst, Deloitte Application Studios, Deloitte US-India June 2012- December 2013

Interacted with the client for requirements & specifications of business tools

Collaborated with global teams & facilitated the development & testing of these tools

Generated reports and spearheaded team meetings, managed product issues Consultant, Enterprise Risk Services, Deloitte India December 2013 - July 2015

Performed information security and risk assessments on client’s network infrastructure

Designed a risk mitigation methodology which resulted in savings worth $10,000 for client

Drafted business development proposals for prospective engagements Co-founder, Pehnaawa – an e-tailing venture January 2014 – August 2015

Created company concept, developed product line and developed the business process

Took the company from local markets to a national audience with a revenue of US $6,000

Administered end to end business process from procurement to customer service

Implemented a feedback system to gain insights & evaluate customer expectations RELEVANT COURSEWORK:

Courses – Data Science 1: Theoretical Foundations, Data Science 2: Machine Learning and Econometrics and Data Science 3: Scaling, Applications and Ethics DATA ANALYSIS PROJECTS: https://github.com/inferno9004 What’s Cooking: A kaggle dataset, used recipe ingredients to categorize the cuisine Price Prediction: Created a model to predict housing prices using gradient descent and PCA Progresa: Used econometric methods to measure the impact of the welfare program Web Scraping: Used Beautiful Soup and regex to scrape university course catalogs Demographic Analysis: Analyzed demographic data to predict extramarital affairs Cancer cell classification: Analyzed various cancer cell parameters to classify cells Survival Analysis: Analyzed passenger data from titanic dataset for predicting survival Sentiment Analysis: performed mining on twitter data and classified a tweets sentiment Stock Market Analysis: Performed risk analysis of investing in 6 major tech firms Housing Price Index: Compared the trend in house prices by comparing data for all 50 states RESEARCH WORK: February 2016 – April 2016

Assisted Prof. Abhishek Borah (Fosters B School) in his research on consumer search trends

Extracted 5 years of search data for 2000 firms from google trends using python scripts PROJECT MANAGEMENT:

BizCursion: A travel app for working professionals October 2015 – December 2015

Leadership: Led a team of 4 to define product scope and design through an agile approach

Strategy: Analyzed user data, studied short term and long term viability of the app

Product Management: Identified critical requirements, Laid out the product roadmap AAMIR RASHEED acw8kw@r.postjobfree.com

#301, 5256, University Way NE, Seattle, WA – 98105 LinkedIn: http://www.linkedin.com/in/aamir218

425-***-****

Applying for:

Full Time Positions

Graduate School:

University of Washington,

Seattle (GPA – 3.83/4.0)

Program:

Master of Science in

Information Management

Expected Graduation by: June

2017

Skills set:

Programming skills:

R, Python (Pandas, Numpy,

Matplotlib), Java, HTML,

SQL, Linux-bash

Data Analysis Skills:

Modelling,

Statistics,

Regression,

Prediction and

Classification

Tools:

R studio, Jupyter notebook,

Tableau, Teradata, SQL

Server, Apache

Ecosystem (Hadoop,

Hive, Spark)

Additional Courses:

Foundations of Information

Management

Introduction to Information

Architecture

Policy and Ethics in

Information Management

Principles of Information

Project Management

Undergraduate Program:

Bachelor of Engineering,

Computer Science &

Engineering

School:

Manipal University – India

(GPA – 7.14/10)

Graduated: May 2012

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