Saif Ahmed Syed
+1-469-***-**** ********.****@*****.*** linkedin.com/in/saifahmedsyed
EDUCATION:
The University of Texas at Dallas December 2016
M.S., Systems Engineering and Management
Osmania University July 2014
B.E., Industrial and Production Engineering
TECHNICAL SKILLS:
Business Intelligence: Microstrategy, SAP Business Objects, SAP ERP and APO, Web intelligence, ERwin
Statistical software: R, SAS, SAS Enterprise Miner, Analysis Toolpak
Data Wrangling: Database systems – SQL based (MySQL, Oracle), NO SQL based(MongoDB)
Data Visualization: Qlikview, Tableau, Microsoft Visio, PowerPoint
Data Mining: Classification, Neural Networks, Logistic Regression, Text mining, Clustering, PCA
Additional Skills: Decision Tools suite, Microsoft Office, Project management (MS Project)
EXPERIENCE:
The University of Texas at Dallas, Richardson, TX June 2015 – January 2017
Graduate Teaching Assistant/ Research Assistant
Co-created a college course by researching industry-standard techniques on probabilistic and statistical analyses
Helping the instructor with creating/updating course content for four graduate level courses
Leading a group of graders, project managing the course grading and explaining course material to the students
Amazon.com, Hyderabad, India August 2014 – December 2014
Transaction Risk Investigator
Saved ~700,000 USD by assessing fraud patterns and making transactional decisions with an accuracy of over 98.4%
Discovered a couple of fraud patterns among 244 million active accounts and helped create machine learning rules to filter accounts following those patterns resulting in continuous avoidance of chargebacks worth millions of USD
Provided efficient technical support and customer service to the targets of online fraud on Amazon
PROJECTS:
Design, development, and implementation of data warehouse
Designed both ER and dimensional model for a database in Erwin and implemented physical tables in SQL Server
Created semantic layers using BusinessObjects Universe designer to help users query database without using SQL
Analytics using R and Microstrategy
Explored and analyzed the data of fashion brand by creating visualizations to support acquisition decision
Identified target groups of customers for marketing campaigns & created differentiated customer service strategies
Ad-hoc reporting
Used Tableau to analyze and reveal various relationships within a data set containing crime data in Dallas
Spotted trends in crimes to help assign the police force throughout the area during different times of the day
Blood pressure prediction
Formulated a Neural Network using SAS Enterprise Miner which can predict patients’ susceptibility to Hypertension from their medical record data with ~96% accuracy
Reduced the risk of being unaware of having high blood pressure which is costing the USA $48.6 billion each year
Identified the extent to which different factors (Smoking, drinking etc.,) contribute to risk of developing the disease
COMMUNITY INVOLVEMENT:
Kids-U Dallas - Assisting at-risk youths by providing academic support in core learning of math, language arts and reading.
IACC – Voluntarily provided Academic advising and administrative services to a non-profit organization in North Texas.
ACHIEVEMENTS AND AWARDS:
A part of Student Leadership Program at UT Dallas working towards Exploratory Leader Certificate
Won Pratibha(Intelligence) award and meritorious scholarship for three consecutive years during middle school