Data Analyst Resume Example
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DATA ANALYST
Professional Summary
Motivated and results-driven Data Analyst with a proven track record in data analytics and process mapping. Proven ability to identify business needs and develop valuable solutions to drive accuracy and process efficiency. Ability to drive business effectiveness through making recommendations based on data findings. Dedicated and hard-working with a passion for Big Data. Extensive experience of working in cross functional teams for variety of projects, end to end, in various domains using both Agile and waterfall methodologies.
Education
Master of Science, Information Science & Technology, 12/2016
Missouri University of Science And Technology - City
GPA: 4.00/4.00
Bachelor of Science, Electronics & Communication, 06/2013
Jaypee University of Science & Technology - City, State
CORE COMPETENCIES
- Expert in building and productionizing predictive models on large datasets by utilizing advanced statistical modeling, machine learning, or other data mining techniques using Python, R, Scala and/or Java, MapR,Spark.
- Expert in data mining, data modeling, statistical analysis, business intelligence gathering, trending and benchmarking.
- Expert in Advanced SQL query writing with focus on data manipulation, data cleaning & data analysis.
- Proficient and in-depth knowledge of database types; research methodologies; and big data capture, curation, manipulation and visualization.
- Proficient in conducting database validation, perform ETL , Data integration, Data Normalization, contribute to software analysis of Data Migration projects in support of Legacy migration or stand-up of new server environment for system and architectural enhancements.
- Ability to dig through large data sets and develop algorithms & insights that can be used to improve Clinical trials and drug development.
- Proficient in Machine learning/Deep learning (AI) algorithms to generate optimized prediction models.
- Expert at providing realistic projections and establishing various scenarios to determine viable process strategies to utilize.
- Organized and timely in providing staff, departmental members, and executive management with reports on specific data findings and their impact on organizational growth and success.
- Creative in finding solutions to problems and determining modifications for optimal use of organizational data.
- Energetic presenter and confident communicator with the ability to circulate information in a way that is clear, efficient, and beneficial for end users.
Work Experience
Data Analyst, 11/2017 to CurrentAlly, White Plains , NY
Responsibilities:
- Converted, cleaned, analyzed, organized, and documented large data files (10,000 - 2 million records).
- Performs data Visualizations, data extract from different databases to create complex reports and present it to clients.
- Conduct big data analysis and data mining on laboratory test data as large as 10 billion records using Netezza, Hadoop and Datameer.
- Use ETL tools for data integration, use raw data, extract the information required for analysis, coordinate with ETL teams for data transformation and format data to serve business needs, and load it to a data warehouse.
- Design, built and deployed a set of python modeling APIs for customer analytics, which integrate multiple machine learning techniques for various user behavior prediction.
- Build and productionize predictive models on large datasets by utilizing advanced statistical modeling, machine learning, or other data mining techniques using Python, R, Scala and/or Java, MapR, Spark.
- Explore complex data using Datameer, implement data quality measure and secure data for faster insights at LabCorp.
- Use personalization to rapidly integrate, transform, discover, and operationalize datasets to meet business needs.
- Establish an analytical pipeline in Datameer to streamline the analytical process.
- Handle data request and perform analysis using tools like Datameer and Oracle SQL Developer.
- Write complex report criteria to fulfill Clinical Trials data requests and review with business teams.
- Develop and train resources on ICD9 – ICD10 cross-walk tool, conduct data mapping and review errors.
- Lead the team of data scientists specializing in a range of statistical, natural language processing-NLP, and machine learning techniques
- Created complex visualizations using tableau for business requirements.
- Design and implement end-to-end systems for Data Analytics and Automation, integrating custom visualization tools using R, Tableau,Power BI.
- Query data from Business Intelligence and database to create standardized reports.
- Write and execute complex SQL queries to fetch data from different databases according to the business requirements.
- Successfully interpreted data in order to draw conclusions for managerial action and strategy.
- Used statistical techniques for hypothesis testing to validate data and interpretations.
- Conducted research using focus groups and increased efficiency by 11% due to the findings.
Graduate Assistant, 08/2016 to 12/2016University Of Nebraska At Omaha, Omaha , NE
Responsibilities:
- Worked as a graduate assistant position under Dr. Flachsbart.
- Graded student papers and assisted graduate & Undergraduate students for Databases(DBMS) and Programming courses.
Programmer Analyst, 05/2014 to 06/2015Kas Software Solutions Llc, Pompano Beach , FL
Responsibilities:
- Trained in COBOL, DB2 &IBM mainframe technology.
- Developed/tested computer programs that works with COBOL programming.
- Supported the developed applications and making modifications within these applications, as and when
necessary. - Analyzed and tested the developed applications for the satisfaction of the current user, or business requirements.
- Worked as a part of a software development life cycle.
- Had worked with different functionalities of application, with Development and Production Support projects in United States Healthcare domain.
- Fix the problems in the applications, if any, after deployment.
Relevant Coursework:
- Business Analytics & Data Science
- Information Visualization
- Information Retrieval and Analysis
- Advanced Information Assurance
- Human Computer Interaction
- Advanced Information Systems Project management
- Analytics I: Principals & Applications
- Analytical Methods I
Skills Summary
- Data Analytics
- Quantitative Methods
- Data Structures
- Data Science Research Methods
- Regression Analysis
- Research Data Management
- Data Visualization
- Statistical Computing Methods
- Business Intelligence (BI)
- Experimental Design & Analysis
- C / C++ / JAVA / COBOL
- Machine Learning /Deep learning
- Tableau / SAS / SQL / R
- ETL
- Data Modeling
- Data Mining
- Data Warehousing
- Advanced Project Management
- Data science
- Process mapping
- Data profiling
- Teradata BTEQ
- Enterprise application integration
- Hadoop/SPARK/Hana
- AWS
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Resume Overview
School Attended
- Missouri University of Science And Technology
- Jaypee University of Science & Technology
Job Titles Held:
- Data Analyst
- Graduate Assistant
- Programmer Analyst
Degrees
- Master of Science , Information Science & Technology 12/2016
Bachelor of Science , Electronics & Communication 06/2013
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