Data Analyst

Gagan Grewal

Tempe, Arizona 480-***-**** www.linkedin.com/gagan-grewal ac0m7u@r.postjobfree.com

Education

W.P. Carey School of Business at Arizona State University, Tempe, AZ May 2017

Master of Science, Business Analytics, 3.6/4

Lovely Professional University, Jalandhar, India June 2014 Bachelor of Technology, Electronics and Communication, 3.3/4

Certifications and Online courses: Complete SQL Bootcamp (Udemy certification), Intro to Python for Data science(Datacamp Course),Machine learning toolbox (Datacamp course), ETL testing: Beginner to Expert (Udemy Certification), SAS Base programmer (SAS course), Inferential statistics(Udacity Course), Intro to Descriptive statistics(Udacity course)

Professional Skills

Descriptive/Predictive analytics

Regression analysis

Data Warehousing

Statistical modeling

Web Analytics

Machine Learning

Data Visualization

Data Management

Project Management

Technical Skills

Visualization: MS-PowerPoint, Tableau, Power BI

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

Data Handling: SAS, MS-Excel, AWS, Informatica

Misc.: MS Azure, Google analytics,, MS-Office

Professional Experience

Internship Jan 2017 – May 2017

Dedicated Resource Scheduling, Scottsdale, United States

Part of a team to define the patient behavior towards appointments using predictive analytics by developing a model using machine learning tools, which would help the clients in cutting costs by over 30% and better allocating resources.

Performed clustering analyses in MS Azure and utilized visualization tools such as Tableau and Excel to depict the client habits and feature selection for prospective clients.

Handling and managing data, real time and historical, accumulated from multiple sources for more than 25 cities with MySQL, Excel and SAS.

Analysed full set of business concerns and requirements to recommend processes and strategies to better record and store data for future predictive models and improvement in data collection for DRS.

Programmer Analyst June 2014 – June 2016

Cognizant Technology Solutions, Chennai, India

Worked closely with clients and business analysts on requirement analysis, resource allocation, cost analysis and risk analysis for multiple projects.

Effectively automated the data testing process to ensure quality, increase productivity and reduce time spent on testing, Saving upto $300,000 dollars for clients.

Worked double time to meet critical and strict deadlines for testing and delivery of 3 projects simultaneously, achieved the targets under pressure with effective communication, team collaboration and time management skills.

Created process flows, procedures and strategies for large and small clients on premium selection and term regulation of Auto, Health, Life and Home Insurance policies for different states in the US.

Worked with Business requirement, software development and testing teams to help develop a performance matric to address fast implementation of features, defect lifecycle and support

Volunteered for the implementation of a new technology and structured a new learning plan. Supervised and managed the transition of the new technology for more than 20 associates and the clients.

Managed team of 4 with project revenue of $100,000, including development of multiple work streams, task prioritization and delegation of skills assessment. Worked on web analytics to score new feature implementation and feature changes.

Hosted a biennial client meet addressing technological and business, development and improvements across different domains and projects.

Applied Projects

Predictive model for Bitcoin value using Storm, Kafka, Python and Pig Jan 2017 – May 2017

Defining a model to predict the fluctuation of Bitcoin value using Text analytics. Explored different data streaming methods such as Storm, Kafka and data processing in Pig for an optimal model in python to predict the deviation of Bitcoin value.

Employing machine learning libraries such as Scikit learn, Pandas and Numpy to explore input data and build a model to predict the polarity of the Bitcoin value

Market basket analysis for matching products Jan 2017 – Mar 2017

Used scikit learn and pandas libraries in python to perform initial exploratory data analysis to understand the trends and relationships in the attributes of the input data

Designed successful Machine Learning models in R programming for product segmentation and selection using advanced machine learning algorithms such as Linear/Logistic regression, neural networks, Clustering and KNN, Decision tree and Forests, Principal component analysis and Dimensionality reduction

Community Involvement

Member of Founders club, Business information management association and GPO Toast masters, ASU

Recognized as the active member of student body organization (DSA- Division of Student Affairs) at LPU.

Organized and manged hikes, runs and camping for collegues at Cognizant.

Participated in many programs for Outreach Cognizant for the developmet and betterment of the community

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