Data Scientist Resume Kansas - Hire IT People

PROFESSIONAL SUMMARY

6+ years of experience as a data analyst in end to end data science projects and a software developer.
Building statistical and Machine learning algorithms which is useful for solving business problems andforecasting the business trends.
Extensive exposure on analytics project life cycle CRISP - DM (Business understanding, Dataunderstanding, Data preparation, Modelling, Evaluation and Deployment).
Understanding the business environment, data preparation, modelling evaluation and deployment.
Experience on data wrangling, data blending, data modelling, data visualization and reporting using the tools like R, Python, SSIS, Tableau, My sql and Mongo dB, Putty.
Capable of producing new bits of knowledge, drive business choices for the information and a solidresponsibility regarding making a positive effect.
Targeted campaigns using analytics to segment consumers, identify the most appropriate channels andachieve optimal ROI.

TECHNICAL SKILLS

Programming skills: R language, Python, Java, JavaScript, HTML, CSS, My sql, Mongo dB, Json.

Statistical Modelling: Linear Regression, Logistic Regression, Multi-nominal Logistic Regression Support vector regression, Generalized linear models & Time Series forecasting.

Machine Learning: Decision Trees, Random Forest, Dimensionality reduction, Gradient Boosting Neural Nets, Hierarchical & K-Means clustering, Association Rule mining and Text mining.

Business Intelligence Tools: Tableau, SSIS and Advanced Microsoft Excel.

Big Data Technologies: HBase, Hive, Flume, Sqoop and pig.

PROFESSIONAL EXPERIENCE

Data Scientist

Confidential, Kansas

Responsibilities:

Analyzed &Predicted sales of a store given the store attributes to plan the budget, staffing andmarketing.
Segmented demographics using K-means Clustering based on customers.
Based on the customer profile such as age, education, income levels generated from the clusters toperform target marketing.
Developed data pre-processing modules and extraction rule engines in R using Random Forest andDecision Trees for some analytics. Reduced the execution time by 25%.
Performed data discovery by generating compliance trend reports to show the calculated value forcertain compliance rules over time for significant KPI's.
Developed adhoc reports on top performing products on a weekly basis using tableau.
Develop campaign insights from a combination of proprietary client data, syndicated industryinformation, with geographically relevant consumer and vendor demographics.
Audited and validated the customer selection results - segmented based on behavior, predictive models and other criteria.
Supported new products, communication methods, marketing campaigns, and brands.
Created visualizations, reports and dashboards to present clients and stakeholders.

Sr. Data Analyst

Confidential - Kansas

Responsibilities:

Provided analytical expertise in responding to complex, specialized report requests requiringhigher-level data analysis and data management services using dashboards to higher management.
Segmented the customers based on demographics using K-means Clustering in R and generatedinsights from the clusters to perform target marketing based on the customer profile such as age education, income levels and median rooms.
Performed data discovery by generating compliance trend reports to show the calculated value forcertain compliance rules over time for significant KPI's.
Created predictive models to increase the revenue of the company by studying the demographics and usage patterns.

Data Analyst

Confidential

Responsibilities:

To Identify key variable for which hypothesis testing was done using Chi-Squared, Kruskal Wallis and Wilcoxon tests.
Classification of patients based on Clinical and demographic traits (like age, race, financialcharacteristics) to enable customized servicing.
Identification and prioritization of the pain areas that are leading to lower satisfaction like Dischargecodes, discharge hour, age, length of stay, deprivation Index etc.
Quantify the impact under interactions for the key variables. Leveraged Decision tree and Logistic tobuild the models and quantify the impact.
Inferences were drawn from the models and variables were prioritized.

Java Developer

Confidential

Responsibilities:

Assisted in maintaining and updating existing applications and modules.
Helped design form validation programs using HTML and JavaScript.
Contributed to development of client side and server-side codes for external and internal webapplications.
Aid and support to programming team members as required.
Used Log4j for logging, debugging and tracking ·
Used Eclipse as the Java IDE in the development of the application ·

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