SUMMARY:

• Microsoft Certificate in Data Science professional with five plus years of experience in all phases of diverse technology projects specializing in Data Science& Analytics, Data Warehousing, Azure Machine Learning and Tableau. Team builder with excellent communications, time & resource management & continuous client relationship development skills.
• Extensive experience in Data Mining, Machine Learning and Data Science technologies ensuring project completion on time, on budget and with the desired results.
• Analytical, performance - focused, and detail-oriented professional, offering in-depth knowledge of data analysis and statistics; utilized complex SQL queries for data manipulation
• Equipped with experience in utilizing statistical techniques which include Correlation, Hypotheses modeling, Inferential Statistics as well as data mining and modeling techniques using Linear and Logistic regression, clustering, decision trees, and k-mean clustering
• Expertise in building Supervised and Unsupervised Machine Learning experiments using Microsoft Azure utilizing multiple algorithms to perform detailed predictive analytics and building Web Services models for all types of data: continuous, nominal, and ordinal.
• Expertise in using Linear & Logistic Regression and Classification Modeling, Decision-trees, Principal Component Analysis (PCA), Cluster and Segmentation analyses, and have authored and coauthored several scholarly articles applying these techniques
• Mitigated risk factors through careful analysis of financial and statistical data. Transformed and processed raw data for further analysis, visualization, and modeling.
• Increased customer visibility by developing real-time insights to sales people and sales managers using Tableau reports, resulting in boosting the revenue by 10%
• Proficient in research of current process and emerging technologies which need analytic models, data inputs and output, analytic metrics and user interface needs.

PROFESSIONAL EXPERIENCE:

Data Scientist

Confidential, Plano

• Microsoft Certification in Essentials of Data Science
• Descriptive and inferential statistics
• Linear and logistic regression models
• Machine Learning - K-Mean Clustering, Principal Component Analysis (PCA), Factor Analysis, Time Series

TECHNICAL SKILLS

• Python, Spyder
• Azure Machine Learning, AWS
• Tableau
• Talend
• SQL, Java/J2ee,
• Microsoft Visual Studio.Net 2010, SQL Server 2008.
• Requirements Analysis
• BA Analysis and Monitoring
• Requirements Elicitation
• Project Scheduling
• Operationalization
• MS Access
• SQL Server
• Big Data
• Cross-Functional Supervision
• Team Building & Mentoring
• Client Relations & Presentations
• Business & IT Planning
• Vendor Management
• Acquired and cleanedusing Talendand structure data from multiple source including external and internal databases.
• Performed data extraction, manipulation, cleaning, analysis, modeling and data mining using Pythonprogramming in Spyder
• Designed 10+ dashboards in Tableaufor sales managers with instant access to personalized analytics portal, so they can access key business metrics such as time to close opportunity, delay-to-contract, resulting in increased customer satisfaction and improving client’s standing in the Sales Performance management industry
• Studied the data to create/customize models to analyze/visualize important KPIs for the project
• Developed and execute processes for accurate data capture across all clients to obtain key insights and relationships to overall business objectives using Statistical Hypotheses Modeling
• Exploratory data analysis using Python to deep dive into internal and external data to diagnose areas of improvement to increase efficiency
• Utilized Booted Decision Tree, Linear and Bayesian Linear Regression Machine Learning models in Microsoft Azure to develop and implement interactive Webservice predictive models
• Led the company's machine learning and statistical modeling effort including building predictive models and generate data products to support customer segmentation, product recommendation and allocation planning; prototyping and experimenting ML/DL algorithms and integrating into production system for different business needs.
• Designed, built and deployed a set of Python modeling APIs for customer analytics, which integrate multiple machine learning techniques for Confidential user behavior prediction (CLTV, marketing funnel propensity models etc.) and support multiple marketing segmentation programs.
• Built models using decision trees, segmentation, regression and clustering intelligent decision models to analyze customer response behaviors, interaction patterns and propensity

Data Analyst

Cognizant, Chicago

• Delivered Interactive visualizations/dashboards using ggplot and Tableau to present analysis outcomes in terms of patterns, anomalies and predictions.
• Created multiple workbooks, dashboards, and charts using calculated fields, quick table calculations, Custom hierarchies, sets & parameters to meet business needs.
• Created multiple Logistic Regression models that helped fine tuning process cycle times reduced from 6 hrs to 30 minutes.
• Responsible for working with stakeholders to troubleshoot issues, communicate to team members, leadership and stakeholders on findings to ensure models are well understood and optimized.
• Prepared comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
• Regularly generated Data Models using Python andtransform Financial Data into useful information for the operations team
• Performed data analysis by gathering, analyzing and deploying spatial data from its pristine form to derive inventory requirement projections and used Tableau to publish visualizations
• Developed category segmentation using Python which provides customizable view of market share and led to decreased labor cost by 50%.
• Actively pursued data quality compliance, assessed risk factors and generated models and scenarios for forecasting operational risk.
• Analyzed Learning Management System (LMS) for client and implemented improvements for process variation thereby reducing lead time by 30%.
• Developed a dashboard using Tableauand Oracle forms to provide the management with an overall understanding of resource optimization, attaining incremental revenue worth $1.2 million

Systems Analyst

Confidential

• Created monthly and quarterly business monitoring reports by writing complex SQL queriesto include System Calendars, Inner Joins and Outer Joins to retrieve data from multiple tables
• Expertise in development of web services using JAX-WS, SOAP, WSDL with good knowledge on inter operable issues dealing with different vendor services.
• Expertise in designing and developing J2EE compliant systems using IDE tools like Eclipse, WebLogic Workbench and deploying them in application servers like WebLogic, WebSphere on Windows and UNIX environments.
• Sound Knowledge in JEE Design Patterns such as, Session Façade, Front Controller, Data Access Object (DAO), Value Object, Singleton, Service Locator. Highly proficient in using frameworks like Struts, Hibernate, Spring, in developing multi-tier, highly scalable, component based, services driven Enterprise Java applications.
• Proficient in developing Unit testing, Integration testing and Container testing components with good knowledge on testing frame works and testing methodologies.
• Good experience with databases, database concepts, normalizations etc. and proficient in developing persistence components using ORM, JPA, Transactions and SQL.