Professional Experience Data

SAVLEEN KAUR

**** **** ****** **** #****, Folsom, CA 95630 916-***-**** ***********@*****.***

www.linkedin.com/in/savleen-kaur-9615907b

OBJECTIVE

Dynamic and accomplished entry level professional with expertise in software development and data analytics seeking a challenging and rewarding position to contribute to the future employers' further success

AREAS OF EXPERTISE

Organizational Leadership

Software Engineering

Development & Testing

Data Analytics

Process Improvement

Data Modelling

QUALIFICATION SUMMARY

●Develop and implement key performance strategies and initiatives which fully achieve organizational objectives, targets and goals

●Build professional relationships utilizing exceptional interpersonal, communication, negotiation and presentation skills

●Demonstrate proven leadership skills which help motivate teams to success

●Good understanding of agile development practices

●Experience with reporting tools like Cognos and Tableau

EDUCATION

Master of Science in Computer Science California State University Sacramento GPA 3.68 May 2017

Bachelor of Technology in Computer Science Guru Gobind Singh Indraprastha (India) University Aggregate 80% 2014

SKILLS

Operating System:

Windows, Linux

Programming Languages:

Java Core, C++, Pl/SQL, JavaScript, R,SQL,

Databases:

MS SQL Server, MySQL, Tomcat Apache, Netezza, Denodo, Hadoop,Hana

Applications:

Eclipse, Mat lab, Weka, MVC Framework, MS Office, SPSS Modeler, Cognos, Watson Analytics,Apache Spark, Jira, AWS, Github, Watson APIs, Tableau

PROFESSIONAL EXPERIENCE

Data Science Intern June 2016-May 2017

Vision Service Plan (VSP), Rancho Cordova,CA

Worked with the Business Intelligence team and worked on the Consumer data for most of the projects

-Analysed end customer data for frame and lenses return (20114-2016) with demographic markers( zip code, age, state, prescription/non-prescription) and VSP’s service plan to identify trends and pattern in the return rate of all the individual customer account.

-Restructured the data according to different business lines of VSP to ensure the quality insights for the return rate analysis

-Constructed predictive models and market bucket analysis model based on the algorithms like regression tree, neural nets and Naive

Bayes using SPSS Modeler.

-Developed SQL scripts in Hana

-Worked on customer segmentation for claim’s data of different business groups of VSP using clustering algorithm K-means.

-Data Extraction and warehousing to remodel Account 60 module for top priority accounts and practices.

-Used tools like Cognos, SQL and IBM’s SPSS Modeler to aid in data modelling and definition

Intern at CMC LTD, New Delhi, India May-July, 2013

-Developed a middleware enterprise resource planning application, that automates many of the basic processes of a company from sales to inventory.

-Worked with technologies like JavaScript, Tomcat, Java/J2EE.

-Designed and developed dynamic GUIs with customizable reports using JSP and HTML

-Worked on the Customer relationship module and stock inventory management.

PROJECTS

Opinion Mining on Social Media Masters Project, California State University 2017

●Created real time twitter data analysis pipeline using Apache Spark and Stanford’s NLP tool kit.

●Designed a scalable data pipeline for data analysis

●Engineered a classifier based on Naïve Bayes that uses feature vector selection to label and analyse the sentiment of a tweet.

●Visualization of the results using React libraries

Context based Movie Recommendation 2017

Collaborative filtering based recommendation based on latent factor approach.

Extracted and pre-processed data from MovieLens in Hadoop using R.

Visualisation of the patterns and dependencies in the data using Tableau’s API for a better insight into the data before mining.

Created user-movie matrices for genre similarity, distance in DB for recommendation engine.

Predictive Model for Return Analysis VSP Vision Care 2016

Data cleaning, manipulation and key factor analysis using SQL and Excel

Metadata gathering and understanding business glossary to understand the business terms and acronyms.

Developed a predictive model using statistical tools and methods like SPSS Modeler, enabling the business to have a better understanding of the return rate and key performance indicators(KPI) improve marketing strategy going forward

Market Basket Analysis VSP Vision Care 2016

Integrated the data from multiple sources, identified the driving metrics and statistical trends and patterns in the data,

Categorised and restructured the data based on different lines of Brands in VSP’s marketing.

Incorporated association rules and affinity analysis techniques to create an effective model understand the consumer’s buying pattern of different brand provided by VSP.

Created appealing stories using data visualisation tools like Watson Analytics to facilitate decision making.

Implementation of data mining using variants of particle swarm optimization Guru Gobind Singh Indraprastha 2014

●Comparative analysis of the variants of particle swarm optimization on the problem of data classification and clustering using various datasets.

●Worked with MatLab for the comparative studies of the functions.

●Presented the dissertation at the Annual University project.

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