IRTIZA KALEEM

SENIOR DATA ANALYST

Page * of *

CONTACT

ac9yeu@r.postjobfree.com

416-***-****

Mississauga, ON

linkedin.com/in/irtizakaleem

irtizak

PROFILE

10+ years of data analysis experience,

solving complex business problems for

startups and corporations, adaptable to

varied work and business requirements,

project scales and technologies.

EDUCATION

2008

LONDON METRO. UNI. [LONDON, UK]

M.Sc. Intl. Banking and Finance

2006

MIDDLESEX UNIVERSITY [LONDON, UK]

B.Sc. Business Info. Systems with IT

TECHNICAL SKILLS

Machine Learning Algorithms

[Linear Regression, Logistic

Regression, Naïve Bayes, Support

Vector Machines (SVM), Decision

Trees, Random Forest, Gradient

Boosting]

Statistics and Probability

Python, R, SQL, SPSS, SAS,

Statistica, Excel, VBA

Advanced Analytics [numpy,

pandas, scikit-learn, readr, dplyr,

tidyr, caret]

Databases [OracleDB, MySQL,

SQL Server]

Data Visualization [Matplotlib,

Seaborn, ggplot2]

EXPERIENCE

Pakistan Revenue Automation

Senior Data Scientist SEP 2017 – JAN 2019

Part of the company’s data science team, responsible for developing use cases and designing solutions to improve P&L of Pakistan’s central revenue collection agency, Federal Bureau of Revenue.

Developed taxpayer audit selection predictive model for tax filing companies using logistic regression with IBM SPSS Modeler and SQL to improve case selection by 46%.

Developed a customs import risk evaluation model using random forest with IBM SPSS Modeler and SQL, reducing consignment examination by 60%.

Segmented incorporated taxpayers using unsupervised methods (k- means, hierarchal clustering) in Python, based on unique attributes.

Developed dashboards and performed ad-hoc analysis on business and model performance, and presented to senior management and board members.

Maintained client engagement and collaboration throughout project lifecycles.

Provided guidance to clients and fellow data scientists. KreditGeek

Co-Founder & Chief Technology Officer OCT 2016 – MAY 2017 Part of a fin-tech startup facilitating upto $50 bridge loans for potentially 40 million smartphone users in Pakistan. Responsible for managing technology aspects of our Android mobile application, Tez Financial Services.

Developed business processes and conducted requirements gathering from partners for Android application.

Designed wireframes and communicated to software development partners.

Coordinated with stakeholders for integration of third-party functionalities; customer identify verification, payment services and customer support, etc.

Shortlisted in Top 8 for $100,000 grant at Karandaaz Fintech Disrupt Challenge 2017.

Won Best Idea Stage Award at Startup Rumble 2017.

Won Support Disruption for Good Award at Responsible Finance and Investment Summit 2017.

IRTIZA KALEEM

SENIOR DATA ANALYST

Page 2 of 2

TECHNICAL SKILLS (CONTD.)

Exploratory Data Analysis (EDA)

Natural Language Processing

[NLTK, tidytext]

Software Engineering

Financial Modelling

MANAGEMENT SKILLS

Project Management

Requirements Gathering

Stakeholder Engagement

PowerPoint

Visio

Trello, Git

EXPERIENCE (CONTD.)

Telenor Pakistan

Assistant Manager Credit Analytics JAN 2016 – OCT 2016 Credit Analytics Specialist MAR 2015 – JAN 2016

Led the data science efforts to predict customer behavior for a digital loan product. This enabled the business to offer upto $100 bridge loans to 16 million prepaid mobile phone subscribers.

Developed credit risk scoring model for digital lending product using gradient boosted trees in Statistica, reducing default rate by 50%.

Developed a model to improve customer acquisition for an international remittance product. Used random forest in Statistica, resulting in 300% increase in product uptake compared to champion methodology.

Created reproducible notebooks for data analysis and model development to facilitate knowledge sharing.

Assisted product managers to use predictive models in optimizing business for revenue.

Managed enterprise-wide implementation of Statistica data mining platform.

Allied Bank Limited

Market Risk Analyst JUL 2012 – MAR 2015

Risk Analyst – Credit Modelling JUN 2009 – JUL 2012 Credit Risk Analyst APR 2011 – MAY 2011

Part of the risk management team at Pakistan’s Big 5 commercial bank. Responsible for developing scorecards and risk models, enabling management to quantify portfolio risk and improve credit and liquidity risk management.

Developed statistical models for corporate portfolio using logistic regression in SAS, Excel and VBA to quantify credit risk and improve liquidity management.

Liaised with IT department to embed models in software and conduct User Acceptance Testing (UAT).

Re-engineered and automated reporting processes using Excel and VBA, reducing analyst hours from 5 hours to 1 hour.

Monitor, reconcile, analyze, investigate and resolve issues with daily Treasury and Finance P&L.

Contact this candidate