Data Analyst Resume

SUMMARY:

Nearly 5 years of Experience in the following various IT areas
Develop dashboards, visualizations and granular datasets
Strong SQL, Excel and quantitative skills as well as experience with big data and/or complex data sets
Designed reports within SAP Business Objects, Data Warehouse and Database Management
Experience with the Big Data Ecosystem (Hadoop, Hive, Hbase, Pig, Spark, and Python (NumPy, pandas, Matplotlib, SciPy and sklearn)
Extensive programming knowledge in SQL, PL/SQL, SQL*Plus, TOAD, SQL*Loader in Data warehousing
Leverage a heavy dose of mathematics and applied statistics with visualization and a healthy sense of exploration
Established Corporate table structure for reporting to management utilizing Crystal Reports, Excel and Access
Data Analytics: utilize analytical applications to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into risk management and marketing strategies

PROFESSIONAL EXPERIENCE:

Data Analyst

Confidential

Used Microsoft Azure, IPython notebook for data analysis
Conducted processing, cleansing, and verifying the integrity of data used for analysis, data integration
Selected features, build and optimize classifiers using machine learning techniques
Joined and sub selected data to retrieve from stated SQL Server Performed a merge into Crystal Reports Also converted and merged into SQL Enterprise
Created and deployed model: two - class logistic regression algorithm to predict
Explored and analyzed data in the predictive analytics process
Data visualization and analysis using dashboard with Power BI and Tableau

Project Analyst

Confidential

Performed analysis and present results using SQL, Excel
Analyzed data and made decisions that affect the procurement, demand analysis
Identify areas to make high impact improvements to budgeting and forecasting process, tools, and templates

Project Coordinator

Confidential

Wrote Scripts to extract required data in SQL
Analyzed data flow and data integrity to identify areas for improvement in risk adjusted revenue
Handled deployments in production and pre-production environment
Recommend information technology strategies, policies, and procedures by evaluating outcomes, identifying problems, evaluating trends and anticipating requirements
Geospatial analytics in BlueMix and visualizer
Analytics of H1B, non-immigrant visa in the United States for apache hadoop on IBM Bluemix using big sheets, text analytics and bigSQL
Sam’s Club large dataset on Teradata using Lumira’s Data Visualization and Data Mining of SAP Predictive Analytics
Bayan Alghuraybi, Krishna Marvaniya, Guojun Xia, Jongwook Woo, “Analyze NYC Taxi Data Using Hive and Machine Learning” in International Journal of Database Theory and Application, June 2016, Vol.9, No.6 (2016), pp., ISSN

TECHNICAL SKILLS:

Data Analytics: Data Mining, Machine Learning, Windows Azure, IBM BlueMix, Apache Hadoop, Spark, HDFS, Hive, Hortonworks
SAP Business Intelligence: SAP predictive analysis, SAP Business Objects Design Studio & Report Designer, SAP Business Data Warehouse Data Modeling, Data extraction, transformation and loading (ETL), SAP Lumira
SAP business processes integration and configuration
Programming Languages: Java, Visual Basic, Linux Script and Python
Database: Oracle SQL, PL/SQL Developer, Oracle Application Express (APEX), E-business Web application, NoSQL, MySQL
Methodology: Involved in Software Development Life Cycle (SDLC) processes working in Agile Methodology