Tahir Khan Email & Phone Number

Provide Consultancy Services to various Clients as Technical Project Manager / Agile Consultant / Product Owner / Architect

Sacramento, California Area

- Lead Digital Transformation initiative to introduce new capabilities to the market, to modernize claims processing and to digitize end to end user experience.- Lead cross functional team to develop and deploy highly scalable Cloud platform that reduce claim processing from days & weeks to few minutes & seconds.- Define product roadmap and minimum viable product (MVP) for monthly product releases.

Sacramento, California Area

 Led multiple Projects such as: Past due credit reporting, Credit delinquency, Spousal Support, application migration to cloud, DevOps assessment.  Defined scope of the projects by writing features and stories while working in conjunction with Business stake holders and subject matter experts. Facilitated sprint ceremonies such as: Sprint planning, daily stand-up meetings, Product backlog Grooming, Sprint retrospectives and Sprint review sessions. Resolved cross functional dependency between multiple teams thereby Increased team’s velocity by over 30% in a span of 4 sprint.  Worked with Systems engineering team to Implement Continuous integration (CI) within Sprints boundaries, thereby reducing time by over 40% to test, detect and fix defects. Enacted change to remove impediments and helped team to increase quality of deliverables by over 20%. Conducted Sprint retrospectives using innovative techniques (DOT Voting, Acceleration techniques) to help overcome recurring issues impacting team’s performance. Met goal of addressing and resolving issues within 24 hours by removing impediments faced by the team or by managing stake holder’s expectation correctly. Mentored existing state staff to be effective Scrum Masters by providing coaching, guidance on Agile facilitation, practices and ceremonies. Coached techniques to estimate business requirements using innovative Agile games techniques such as (Planning poker, T short size, affinity estimation) Trained Product Owners and Business Analysts on best practices for writing user stories and acceptance criteria especially focusing on INVEST criteria.

Houston, Texas Area

 Delivered continuous business values to the client by conducting Sprint planning, grooming sessions, sprints review, retrospectives and dairy standup sessions.  Was responsible for capturing and assessing business needs to utilize vast amount of heterogeneous data for predictive and visual analytics. Led discussions with business and data scientist to agree on selected business attributes to prepare model, prepare training data, train & prune ML algorithm to generate predictive analytics. Led team to create visualization reports using SAS VA, tableau, Python Matplotlib, Seaborn and Bokeh. Data ingestion from ad-hoc SLB applications to common Hadoop HDFS data lake using standard ETL and ad-hoc sources. Data Cleaning by sort, match, merge before loading into dimensions & facts table in a snow flake schema. Prepared logical, Physical data model using Erwin, common data model for different segments in the organization using galaxy schema having more than 4 fact table and more than 10-dimension tables. Setup connectivity to Oracle/Hadoop HDFS and other databases using SAS/ACCESS, PROC SQL, SQL PASS to access data directly for implicit and explicit processing. Worked extensively in sorting, merging, concatenating and modifying SAS data sets using BASE SAS to generate appropriate SAS datasets to be loaded to SAS LASR Analytics server. Led team to generate predictive machine learning models to generate resource demands (assets & people). Refined & pruned machine learning algorithms to generate resource demands using market driven indicators. Used data from Hadoop HDFS Data lake & external Oracle tables by writing new SAS programs using SQL Pass through facility and Libname methods to create study specific SAS datasets, which are used as source datasets for report generating programs in SAS VA.  Led multiple initiatives to generate regression, classification, SVM, Decision tree’s predictive models.

London, United Kingdom

Client Name : AXA Insurance  Defined Project scope, Key phases, execution methodology, success criteria/metrics, progress tracking mechanism. Prepared resource allocation and mapping, cost estimates, dependency chart, test schedules.  Set-up Scrum framework, guidelines, team structure in Iteration 0 by forming cross functional teams, getting Product backlog created with features/user stories. Assessed migration readiness of existing SAS 9.2 client platform by doing deep dive and impact analysis. Executed SAS Migration Utility to check existing SAS products installed and migration readiness of each to version to 9.4. Deployed two tier architecture for SAS Development and UAT environment to plan future upgrades and code release smoothly. Led end to end system testing / validation testing / regression testing of SAS programs, SAS Reports & jobs. Automated new and existing jobs and perform upgrades, patches hotfix, backup, and maintenance release installations of the SAS environments.  Created new SAS programs and fine-tuned existing SAS programs for better performance in SAS 9.4 by using SAS PROC, SQL MACROS, SAS SQL, SAS Connect, SAS ACCESS. Lead Scrum ceremonies such as: Sprint planning, daily stand-up meetings, Sprint retrospectives, Sprint reviews and product ceremonies. Prepared Definition of Done (DoD) & definition of ready document (DoR). Improved tracking systems to bring transparency in daily progress and to bring clarity on Sprint artifacts such as Product & Sprint Backlogs.  Assisted team in making appropriate commitments through user story selection for each sprint and in task definition/estimation.

London, United Kingdom

Client : Lloyds Banking Group  Managed Projects from Inception phase (Kick off) to monitoring and control, to warranty and support phase. Created Project Plan, Resource Mapping plan and cost estimates for multiple initiatives. Led Engineering teams and coordinated with multiple vendors to deliver end to end project solution. Led onshore and offshore teams during multiple project initiatives and provided technical guidance. Designed ETL architecture to successfully migrate over 6 million active customer records from one bank to another as part of Integration of two large bank entities. Designed detailed data architecture with over 100 Database tables, 400 batch jobs to extract, transfer and load customer records from source to target systems. Designed ETL architecture to extract data from source system & to load into target OLTP & OLAP database. Prepared database design, data modeling, and data validation during ETL process using SAS DI Studio and mainframes batch jobs. Extensive experience working with OLTP & OLAP data bases and in designing dimensions and facts models in star schema, Snow flake Schema, Galaxy Schema’s. Develop Logical and Physical data models using Erwin / Star Schema that capture current state and future state data elements, data flows. Coordinated with ETL team, DB administrators & BI teams to elevate the data model changes in the system Prepared scripts for model and data migration from DB2 to the new Appliance environments. Converted physical database models from logical models, to build and generate Data definition language (DDL)/scripts. Maintained warehouse metadata, naming standards and warehouse standards for future application development Led team to prepare Business Intelligence reports and dashboards using SAS DI, Base SAS

India

Client : MetLife Insurance Analysis, design and maintenance of existing software applications and systems. Understanding technical specification document and translating it to code. Refactored existing code, performed code enhancements while taking up change requests (CR). Prepared and executed unit test cases, integration tests and system performance tests.

Masters In Computer Science, Machine Learning

Bachelor Of Engineering - Be, Computer Science And Technology