Data Scientist
Resume:
IRTIZA KALEEM
SENIOR DATA ANALYST
CONTACT
************@*****.***
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
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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.
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