I am a hard working business intelligence data warehouse professional, experienced in Hadoop Ecosystem, Microsoft Power BI, Scala, Python, R and SQL Server. I received a BBA in Computer Information Systems from Georgia State University and recently finished a MS in Business Analytics from University of Houston. I have current knowledge of data analysis, data clean up, interpretation and visualization using modern programming languages and visualization tools.
Ifraz Ahmed
Houston, TX
IfrazAhmedProfessional@gmail.com
Master of Science in Business Analytics • December 2021
• Developed R applications for data transformation, management and visualization.
• Created entity relationship diagrams, and data models for organization within a DBMS.
• Applied statistical modeling to data sets to uncover trends useful to business.
• Performed data understanding and research understanding phases of CRISP-DM to predict CLABSI infection for Texas Children's Hospital.
• Reported on cases and deaths involving COVID-19 using a S3 dataset to uncover why certain countries managed the pandemic better than others
with similar population density and demographics.
Bacherlor of Business in Computer Information Systems • May 2018
• Plugged in source code from GitHub into IBM Watson to predict an individual’s personality traits from sample text entered by the user.
• Team leader responsible for upgrading the existing systems in Golf Course Country Club that is experiencing
increased stress on its bookings, maintenance and human resource departments due to growth in membership.
• Created mathematical and graphical models using Microsoft Excel to interpret data into meaningful information.
• Developed skills that are overlooked in business such as active listening, how to have unpleasant conversations, and working across cultural and ethnic differences.
Study Abroad Program in Nantes, France • January 2017
• Analyzed business case studies throughout various countries and identified
tangible factors of success from companies that include Bank of Santander, Li & Fung Distributors and Neopets.com.
• Networked with French students and faculty to increase cultural awareness and understand cultural differences.
• Adapted to a foreign language by developing priceless intercultural communication skills.
Data Science Fellow • June 2021 - August 2021
• Improved existing processes and methods for aggregating and using operational data to conduct research and
support high priority IRS operations.
• Engineered ETL workflow by creating a scp connection between IRS Server and EdgeNode within the Hadoop Cluster.
• Designed documentation using white paper methodology for easy replicability of SparkR environment.
• Improved processing times and increased stability of R code through the implementation of SparkR.
• Performed transformations and actions on SparkR DataFrames for statistical analysis, validation, program stability, and performance improvements.
Instructional Assistant • December 2020 - May 2021
• Provided supplemental instruction for MBA and MS students in Quantitative Analysis (QA) and Financial Accounting (FA).
• Assisted students in understanding and internalizing fundamental concepts in QA and FA through one-on-one and group tutoring sessions.
• Collaborated with professors to highlight key topics discussed during class for supplemental instruction.
Data Warehouse Intern • May 2019 - August 2019
• Developed Microsoft Power BI Reports visualizing at risk populations within Harris County
based on household income and school enrollment with geo location, year and other relevant filters.
• Created scalar functions and stored procedures in SQL Server to validate the data contained within Power BI Reports.
• Developed a python script to extract veterinary public health data into python, apply transformations for data
clean up, and load back into the correct directory to be used within the data warehouse.
• Created a program that utilized four fuzzy logic algorithms to give a confidence rating
on how close an input matches a record in a table.
Hadoop and Spark Developer Boot Camp • March 2018 - July 2018
• Transformed data in Spark leveraging SQL Context and Hive Context APIs to discover most profitable variables.
• Performed import and export operations on customer data between RDBMS and HDFS operating Sqoop.
• Ingested data into Spark-Shell using Avro, Parquet, JSON, CSV, TSV, and text file formats; transformed into
DataFrame; performed SparkSQL queries and saved back on to HDFS applying Gzip compression.
• Designed external tables in Hive, ingested JSON formatted files from HDFS, and ran queries using Hive Query Language.
• Leveraged RDD APIs to calculate aggregations of orders inside spark-shell environment.
• Installed, configured, and tested Hadoop Ecosystem inside a virtual machine environment in Virtual Box.
Identified variables with high/low impact on table turns to increase profitability by either investing in a variable aggressively or reducing investment in order to lower cost.
Data Mining, Multiple RegressionPerformed analysis on cases and deaths in Asian and North American countries (excluding United States and China).
Descriptive StatisticsLeveraged ADALINE, MLP, Logistic Regression, and TensorFlow to evaluate each model's accuracy for prediction. Dataset conssists of 10 variables and 2000 records.
ADALINE, MLP, TensorFlow, Logistic RegressionLeveraged Hadoop's infastructure within the IRS for increasing reliability, stability, and scalability for R projects.
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Branding, IllustrationIf you are interested in learning more about what I can offer you and your organization please do not hesitate to shoot me an email at IfrazAhmedProfessional@gmail.com.