Data Analyst Sales

TABREZ HUSSAIN

+1-682-***-**** ******.********@*****.*** www.linkedin.com/in/tabrez-hussain

SUMMARY

Meticulous Business/Data Analyst with experience in developing dynamic business strategies. Seeking to contribute strong analytical skills, knowledge of operations, and data manipulation abilities to benefit the company and its clients. Possess advanced abilities in all aspects of Python, SQL, Power BI, and SCRUM methodologies. EDUCATION

The University of Texas at Dallas May 2020

M.S., Information Technology and Management Scholar of Recognition GPA 3.74 Guru Gobind Singh Indraprastha University July 2018 B.Tech., Information Technology GPA 3.6

TECHNICAL SKILLS

Programming Python, R, SQL, MySQL, Java, C++

Software Azure Cloud Services, RStudio, Jupyter, Oracle APEX, Visual Studio, Microsoft SQL Server Analysis Tools Tableau, Power BI, Microsoft Excel, Google Analytics Machine Learning Regression, K-means, ARIMA, Long Short Term Memory, Tensor flow, Keras BUSINESS EXPERIENCE

GP Mobile Business Analyst Dallas, TX June 2019 – Present

Responsible for implementing solutions on Azure Cloud Services saving up to $50,000 for the company

Constructed Azure Data Factory pipelines to perform data transformation leveraging Event Grid and Azure functions

Analyzed key performance indicators, data pattern for sales data, and company performance using Power BI

Quantitative analysis on large data sets using SQL Analytics and derived features effecting the labor standard model

Managed planning and development of automation process for improving sales dispute reconciliation using Python

Conducted statistical analyses to leverage commission results, which maximized disputable transactions by 30%

Engineered ETL and SSIS packages utilizing Microsoft Visual Studio and SQL Server to review daily audit database IBM India Pvt Ltd Data Analyst Intern June 2017 – July 2017

Overseen and monitored 25 high capacity servers using IBM Tivoli Monitoring software

Implemented more than 10,000 SQL based solutions and derive outliers using dashboard on Tableau

Compiled and validated data sets; reinforced and maintained compliance with corporate standard

Analyzed and interpreted data in streamlined structure and identified patterns between correlating variables ACADEMIC PROJECT

Business Intelligence and Analytics Retail Sales Analysis Python and Tableau January 2020 – February 2020

Analyzed sales data for a retail brand to check trends and factors associated with the performance of 2200 stores

Designed dashboards using Tableau and Python to provide insights on the features effecting sales performance

Leveraged exploratory data analysis to evaluate customer lifetime value and maximize total gross revenue Machine Learning Stock Price Prediction Jupyter Notebook April 2019 – May 2019

Predicted stock prices with 75% accuracy for the next 60 days using long short term memory algorithm

Compared prediction of different machine learning algorithms using root mean square error method

Performed graphical exploratory techniques using matplotlib to examine pattern between different factors Data Science Bitcoin Price Analysis RStudio February 2019 - March 2019

Conducted data mining and regression analysis of features effecting bitcoin prices – achieving 75% accuracy

Developed 10+ regression models with 70% accuracy for price forecasting using both VAR and ARIMA model

Utilized linear regression and ggplot for hypothesis testing to track, analyse, and validate data Database Management Library Management System Oracle APEX August 2018 – November 2018

Developed a client-server application to oversee data framework to store and manipulate library records

Designed Entity Relationship Diagram, Relation Schema, and normalized data of 25,000 books

Developed PL/SQL scripts to implement borrower framework, limitations for book loans, and fines

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