Sr. Analyst/Data Scientist Resume Windsor, CT - Hire IT People (2024)

SUMMARY

• Around 10 years of IT and management experience in Software Development Life Cycle (SDLC) and Project life cycle working as a Business and Data analyst in manufacturing, finance, HR, Payroll, accounting, e - commerce and Supply chain sectors.
• Over 2 years of experience in data science, machine learning and artificial intelligence using different methodologies like Regression, Bayesian, Decision Trees, Random Forests, SVM, Kernel SVM, Naïve Bayes, K-means Clustering, Hierarchical Clustering, Apriori, Eclat among others
• Scientific thinking and ability to invent, a track record of thought leadership and contributions
• Strong knowledge in applying big data/advanced analytics to identify and exploit data with positive business impact
• Proven track record of diving into the data to discover hidden patterns
• Self-starterand able to workinteractivelyandindependentlywith stakeholders. Expertise in managing multiple projects and teams with an excellent track record.
• Experience withSQL queriesto perform data analysis, data mapping and data validation of the transformed data output
• Proficiency in statistical programming languages like SAS, R, Matlab, Octave and Python
• Experience in BI Reporting, structure and mapping
• Experience in all phases of ETL for data preparation and loading
• Data visualization experience in R, Tableau, Matlab, JasperSoft, Business Objects etc.
• Familiarity with common API’s like SOAP and REST.
• Knowledge of distributed computing platform like Hadoop, Spark, Hive, AWS (Amazon web-services) etc.
• Advanced proficiency in Microsoft, particularlyWord, Excel, Power Point andMS Project
• Prepare executive dashboards and presentations discuss at Executive Steering Committee Meetings.
• Experience in Optimal Trace, Caliber RM, Rational Rose, Rational Requisite Pro, Rational Clear Case, Rational Clear Quest, JIRA and Application Lifecycle Management (ALM)
• Hands-on experienced in Project Plan, Project Milestone, Issue and risk assessment, value/benefit realization and project management documents

TECHNICAL SKILLS

Business Skills: Business and data Analysis & Design, Requirement Gathering, Use Case Modeling, JAD Sessions, Gap Analysis, Impact analysis, Data Mapping and Data Modeling

Design and models: Rational Rose, UML with Class, Sequence and Use case diagrams, Visio and Enterprise Architect, machine learning models like Regression, Bayesian, Decision Trees, Random Forests, SVM, Kernel SVM, Naïve Bayes, K-means Clustering, Hierarchical Clustering, Apriori, Eclate etc

Languages: R, Python, MATLAB, Octave, SQL, HTML, XML, SAS

Packages: Rational Rose, Requisite Pro, Clear Quest, JIRA, ALM, Tableau

Databases: Oracle, MS Access, MS SQL Server

Office tools: MS Office 2003/2007 (Word, Excel, Power Point, Outlook), MS Visio, Microsoft Share Point, Optimal Trace, Caliber RM and MS Project.

PROFESSIONAL EXPERIENCE

Confidential

Sr. Analyst/Data Scientist

Responsibilities:

• Worked as a liaison between multiple teams to gather and document requirements and developed data science platform designed to cover the end-to-end Machine learning workflow: manage data, train, evaluate, and deploy models, make predictions, and monitor predictions using different machine learning methodologies like Regression, Bayesian, Decision Trees, Random Forests, SVM, Kernel SVM Clustering, Instance based methods, Association Rules, Dimensionality Reduction etc.
• Collaborated with business to understand company needs and devise possible solutions
• Analyzed and solved business problems, and found patterns and insights within structured and unstructured data
• Cleaned, analyzed and selected data to gauge customer experience
• Implemented new statistical and mathematical methodologies as needed for specific models or analysis
• Used algorithms and programming to efficiently go through large datasets and apply treatments, filters, and conditions as needed
• Created meaningful data visualizations to communicate findings and relate them back to how they create business impact
• Utilized a diverse array of technologies and tools as needed, to deliver insights such as R, SAS, Matlab, Tableau and more
• Presented proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions

Confidential, Windsor, CT

Sr. Analyst /Data Scientist

Responsibilities:

• Assisting business by being able to deliver a machine learning project from beginning to end, aggregating and exploring data, building and validating predictive models and deploying completed models to deliver business impacts to the organization
• Work with big data consultants to analyze, extract, normalize and label relevant data using Statistical modeling techniques like Logistic regression, decision trees, Support vector machine, Random forest, Naïve Bayes and neural networks
• Review business data for trends, patterns or casual analysis to assist in identifying model drift and retraining models
• Developed ETLs for data sources used in production reporting for marketing and operations teams.
• Created customized reports and processes in SAS and Tableau Desktop
• Responsible for generating ideas for product changes that improve key metrics
• Write SQL queries to perform data analysis, data modeling and prepare data mapping documents to explain the transformation rules from source to target tables
• Provided data analytics of the web-portal to the team for feedback and improvement

Confidential, Farmington, CT

Business & Data Analyst

Responsibilities:

• Scheduled and facilitated requirements gathering with HR, Payroll, finance and accounting teams to implement ADP eTime and ADP Enterprise v5 and ADP General Ledger and drove requirements for data collection and data modeling with data engineers.
• Created data modeling and data mapping document containing source, formulate transformational rules to populate target fields
• Created impact & gap analysis documents specifying changes introduced as part of the program and lead the business process team
• Performed data analysis to create reporting requirements by specifying inclusion & exclusion criteria, conditions, business rules and data elements to be included into the report
• Performed SQL query for data analysis and integration
• Support PMO governance activities; defining and maintaining Project Management standards.
• Led the Change Management stream of an HR/Payroll project resulting from a $16.5 billion acquisition and the formation of UTAS, created Change Management Plan, and ensured team was on target to deliver both communication and training to HR, finance and Payroll staff.
• Coordinated and follow up with team members to make sure business stakeholders receive deliverables on time

Confidential

Data Analyst

Responsibilities:

• Acted as primary data analyst and elicited and gathered business requirements through brainstorming and prototyping.
• Partner with analysts and live producers to identify strategic business questions, key metrics, and actionable insights
• Conducted feasibility study and performed GAP and Impact analysis for the proposed state.
• Conducted JAD sessions to allow different stakeholders to communicate their perspective with each other, resolve any issues and come to an agreement quickly.
• Managed direct relationship with third party vendors and off-shore development teams, created communication channel, and project’s review for management
• Collaborated with Project Architect/Designer to detail technical requirements and refine the solution design
• Created use case scenarios and documented workflow and business processes.
• Prepared Business Requirement Document (BRD) and Functional Specification Document (FSD).
• Queried the database using complex SQL queries.
• Reviewed business requirements documented by other business analysts to scope level of effort in testing functionality and identifying possible inter-dependencies
• Assisted the Project Manager with creating detailed project plans and in developing, scheduling and tracking project timelines
• Created executive summary with the risks and mitigation plan for the projects.
• Collaborated with the QA team to ensure adequate testing on software, maintained quality procedures, and ensured that appropriate documentation was in place.
• Led Defect triage sessions with client during UAT phase, and was the point of contact on Defect Management for the project team Led the change management process for the PMO
• Utilized data analytics to evaluate workload performance data and recommend changes
• Conducted peer review meetings periodically to keep track of the project’s milestones.
• Facilitated training sessions for internal and external teams for smooth transition

Confidential

Business Analyst /Data Analyst

Responsibilities:

• Established a Business Analysis methodology around the agile as well as waterfall methodology
• Facilitated and managed Joint Application development (JAD) sessions with a committee of SMEs from various business areas.
• Worked as a liaison between multiple teams and documented BRD’s.
• Conducted GAP analysis and documented the AS-IS and TO-BE processes.
• As Agile Scrum master coordinated Sprints, from Iteration Planning thru daily scrum, and Iteration Reviews and Retrospectives.
• Designed and developed all Use Case models using MS Visio.
• Played a key role in the planning, testing, and implementation of system enhancements and conversions
• Created As-Is and To-Be Business Requirements Documents (BRD). Defined Use Cases for the requirements. Specified functional requirements with the help of mockup screenshots.
• Assisted with the development of new process flows and consolidation of existing business process flows to make them optimized and user friendly.
• DemonstrateduseofUse Cases,UML, Context diagrams, Swim Lane diagrams, Data Flow (DFD) diagramsetc.
• Created Process Flow charts while working on systems design created data mapping and modelling rules for displaying data on front end as well as saving processed data in database. Worked on data mapping for optimized data transfer between two systems.
• Provided AGILE project management controls, project plans, timeline schedules, facilitate and reviewed software defects
• CreatedandMaintainedRequirement Traceability Matrix (RTM), tracking relationships between Requirements, Use Cases and TestCases
• During various phases of testing documented problems reported by users and resolved them by analyzing issues against business rules.
• Routinely used complex SQL statements for data analysis, business analysis, testing and resolving business issues.