Gaurav Chandok

Gaurav Chandok

$42/hr
Data Analyst with extensive scripting and visualization experience
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
36 years old
Location:
Scarborough, ON, Canada
Experience:
7 years
CAREER SUMMARY IT professional with around 7 years of experience in Data Analysis, Business analysis, application design, development & testing, and delivering technical services framework to fortune 500 clients. Hands on experience in working in all phases of the Waterfall, Rational Unified Process (RUP), Agile Scrum software development lifecycle (SDLC). Hands on Experience with IBM ICM Cognos/Varicent and Tableau which include configuration,development and scheduling of different processes and reports. Proficient in design and development of various dashboards, reports utilizing IBM ICM Presenter Reports, Tableau Visualizations like bar Graphs, scatter plots, pie-charts, geographic visualization and other making use of actions, other local and Global filters according to the end user requirement. Designed and developed solutions for Incentive compensation plans into a technical solution design. Developed Implementation methodology and solution architecture. Created Compensation Process automation using Incentive Compensation management tools like IBM ICM Cognos/ Varicent Experiences with designing IBM ICM Database structure for optimal Model performance. Extensive experience developing ICM Import module for automation of Model based data extraction, Load and Transformation. Excellent knowledge in Data Analysis, Data Validation, Data Cleansing, Data mining, and Data Verification. Experience working with SQL Server, Oracle and Teradata RDBMS systems. Expertise in the combination of Financial ERP, business systems development, general business and business analysis. In-depth knowledge of the technical implementation of Change Management, Incident Management, Problem Management, Service Catalog, Configuration Management, Reporting, Discovery, and Integrations.  Knowledge of numerous data warehousing concepts like pivoting, data slicing/dicing, data cleaning/scrubbing, metadata, data marts, fact tables, dimension tables, star schema, snowflake schema, factless fact tables and slowly changing dimensions etc. Skilled in ad hoc reporting, spreadsheet modeling, data analysis, relational database management, creating performance metrics, developing KPIs, and writing database queries for business intelligence. Experienced in ETL/ELT methodologies, specifically data extraction, data transformation and data migration. Well versed in gathering business, stakeholder, & solutions requirements, developing use cases, conducting gap analysis and impact analysis, modeling businesses processes, preparing training manuals and knowledge transfer manuals. Experienced in creating workflow diagram, use cases, sequence diagrams, collaboration diagrams, activity diagrams, class diagrams etc. Expert in enterprise analysis, stakeholder elicitation, business process improvement, requirement gathering, due diligence, content management. Experience in analysis of data from research, both qualitatively and quantitatively (using Excel, SAS). TRAINING/CERTIFICATIONS Attended Customer Analysis & Strategy training courses in TD Bank, Toronto, CA - 2015 TECHNICAL SKILLS Processes/Methodologies Agile, Waterfall Excel Skills VBA, Data table, Integer programming, Goal Programming, Solver, Sensitivity Analysis, Pivot tables, Pivot reporting, Conditional formatting etc. Applications IBM ICM Cognos 8x/9x / Varicent, MS SQL Server 2008R2, Oracle PL/SQL, Teradata 12/13, MySQL, VBA, SAS Enterprise Guide, Tableau, Cognos, Informatica, IBM Information Analyzer, Qlikview, Access, Spotfire OS & Virtual Systems Windows, Windows server 2008 R2, Windows Server 2012, Unix, VMware, Citrix Data Modeling Tools Microsoft Visio, JMP, SPSS Tools MS Office Suite, JIRA, Sharepoint, IBM ICM Cognos/ Varicent Programming Languages SQL, T-SQL, Python PROFESSIONAL EXPERIENCE Coveris, HarperCollins Publishers & Comcast July 2016 – Current Senior IBM ICM Consultant The project for compensation management at above mentioned clients was to handle overall Architecture and Design for ICM System ensuring compensation of over 1000 different Customer Service and Sales Representatives. Ensuring Data Integration across several platforms and different system like Tableau etc. I was also involved in Varicent or ICM Upgrade activities. Responsibilities: Gathering Business Requirements Solution Design and Architecture Offshore Coordination Project Delivery Timeline Management Resource Training Implementing Coding Methodology and Technical Governance Techniques. Periodic Payment plan inclusions, modifications & enhancements. ICM Automations Exceptions and Scenario Handling Application Optimization and Maintenance. Servers Maintenance, Installations and Configurations. Documentation Repository creations and maintenance. Environment: IBM ICM Cognos 8x/9x, SQL Server, SSIS, Datastage 8x, Tableau 10x/9x, Excel TD Bank – New Jersey, NJ Feb 2015 – June 2016 Senior IBM ICM Analyst Handling Level 3 Solution Design and Production support team for various Business Intelligence based Client applications mostly revolving around Employee Performance Management and Workforce Management covering various Business Scenarios for HR Management. The Project worked in all aspects like Architecture, Solution Design, Development, Deployment and production Support for several new Business Intelligence solutions and applications. During this project I have been recognized for delivering several projects on various technologies as Varicent Reports Consolidation (Varicent SPM 7.x), Datastage 8.x, Tableau & Shell Scripts. Responsibilities: Creating Executive view Dashboards and Reports using Varicent Presenter reports and Tableau. Ensure the calculations of precise error deviations in Forecasting Applications to ensure better decision making. Design of reporting tables required for performance efficient reporting. Webform development Created reports and dashboards design using Tableau, IBM Cognos ICM & SAP BOXI. Alongside the Cloud Deployment, we upgraded existing plans and implemented it. Application Automation using scripts (Unix Shell Script & PowerShell) Environment: SQL Server, Informatica, PL/SQL, Teradata V14, Unix/Shell Scripting, SSIS, SSRS. IBM Cognos ICM/ Varicent, Tableau Verizon Communications, Ashburn, VA Jan 2014 – Jan 2015 Sr. Data Analyst Worked as a SAS Data Analyst on Customer Segmentation and Profiling team. The DWH for Customer Segmentation was built on grounds for Geography, Culture, Ethnicity, Economic Scale, Age, Gender and Lifestyle etc. My role involved in Conducting Analytics and Designing Solutions (procedural) for Data Collection, Preparation and Clustering. I was involved in performing in depth analysis and validation on Data Clusters. As part of this role, I also worked closely with the Business Users to determine optimal results of segmentation and redesigning them as part of a Continuous Improvement strategy. Data Analyst Responsibilities: Worked closely with Business users to create the data model for the Customer Segmentation. Worked closely with the ETL engineers to help surface the appropriate data from Source systems and perform in-depth analysis to suggest the right transformation for source data. Relied heavily on Alteryx to transform data from smaller data sources to clean, transform, analyze and visualize. Validated source data for accuracy and correctness at multiple levels to maintain data consistency. Created Business rules using Alteryx in order to identify value in certain data fields and compare them for consistency. Designed the correct Data Lineage on many occasions and played a role in selecting the best system to feed data into the DWH. Worked closely with the Business Users to prepare ad-hoc reports from the DWH. Wrote numerous SQL queries involving joins, string manipulation, set operations, ranking, partition and OLAP functions to build the reporting environment fit for use. Assisted the Business Users in transition from ad-hoc reports to Tableau. Conducted several demos on tableau displaying its visualization capabilities. Worked closely with Shared services DWH Support team to build views or Data Marts within the DWH for Spotfire Dashboards and used Informatica for feed additional transformed data into new tables. Use VBA to create macros for ad hoc purposes. Relied heavily on JIRA for planning, assigning and distributing tasks as well as collaborating with the team throughout the project Advanced excel use such as Macros, vlookups, advanced formulas for ad-hoc reporting. Environment: SQL Server, Oracle 11g, PowerBI, PL/SQL, Teradata V14, Erwin, Unix/Shell Scripting, Tableau 9x, SSIS, SSRS. NIKE INC. – WHQ - Beaverton, OR Mar 2012 - Dec 2013 Sr. Data Analyst NIKE’s European Operations required a solution for enabling the automatic processing of sales data from Business Partners and generate reports and analysis to help manage Business Operation and Vendor Relationships. The ARIS (Analytical and Reporting Information System) was built to provide information of the sales of Nike Products and link them to Retailer data, covering fields of reporting, score-carding, ad-hoc analysis and budgeting. My project included worked on the ARIS system and generate reports on adverse market situations. It also included unification of Reporting and Ad-hoc analysis and consolidation of the overall reporting environment. Also included in scope, was a mechanism to share reports with Nike stores, Vendor stores and local offices. Data Analyst Responsibilities: Interviewed SMEs, end user, and systems architects in order to understand the organizational functions and capabilities in a better manner and gather business and stakeholder requirements. Conducted organizational assessment surveys to seek useful information from project governance board members and PM community Gathered requirements and prepared business requirement documents (BRD), develop Use Cases, Activity Diagrams and Sequence Diagrams by interviewing the end users, SME’s, and third party vendors. Reviewed the project governance processes to identify opportunities to reduce cost & cycle time using lean process improvement techniques and optimized the backend business processes, increasing the overall efficiency by 90%. Conducted GAP analysis to understand the shortcomings of the existing Project-Portfolio management (PPM) tool and evaluated the benefits of the new system. Proposed a new architecture diagrams for Program/Project management module, which improved the user experience, usability, and shorten the execution duration by15 times Created test cases, scripts, and scenarios for the new instance on RELAY and performed User acceptance testing. Normalized the backend database and developed KPI metrics to enhance the dashboard performance Prepared guidelines, best practices, user manuals, and coordinated board meeting to educate the board members and account manager regarding the new changes. Completed MS Project and PMM (Project Management Methodologies) training. Involved in performing extensive Back-End Testing by writing SQL queries and PL/SQL stored procedures to extract the data from Teradata Database using SQL Developer. Assisted in developing and maintaining the central repository and helped populate it with the metadata. Used Tableau for validating the metadata and testing the data of reports. Designed and developed reports for the data in the Data Warehouse using Tableau/Excel. Used loops and if then statement to analyze data for growth using VBA. Designing, configuring and customizing Servicenow platform to implement/sustain the following modules: Incident Management/ Problem Management/ Service Request Management/ Change Management/ Release Management/ Asset Management/ Service Catalog/ custom reporting. Environment: SQL Server, Oracle 11g, PL/SQL, Teradata V14, Erwin, ER Studio, Unix/Shell Scripting, Tableau 8x, SSIS, SSRS. AstraZeneca - Gaithersburg, MD through Infosys Technologies Jan 2011 – Mar 2012 Business Data Analyst (Business Platforms), Angel The scope of the project was replace AstraZeneca’s legacy Global electronic library (GEL) with a new global electronic library (ANGEL), which was an integrated systems. This project was conducted in 2 phases: the first half of the project was to gather functional and non-functional requirement and test them in the sandbox environment to ensure that all the systems of the new GEL is performing as expected. And, the second half was to integrate all the complex network of mission critical system to ensure seamless data flow for day to day activities and provide a 24X7 support. The purpose of ANGEL was to provide the solution to eliminate and reduce compliance issues and risk of product recall. Due to this project, the failure to renew the marketing authority licenses due to registration inaccuracies reduced from greater than 90% to less than 10% and the risk of delay to major submission reduced from 50% to less than 10%. Data Analyst Responsibilities: Responsible for client deliveries, project environment setup, compliance, customer relationship and resource management using agile scrum methodology Conducted interviews/group discussions with SMEs for detailed domain knowledge Responsible for setting up DEV, SIT, UAT, PRE-PROD and PROD environments and creating test scenarios, writing test cases and test script for business, functional, and non-functional requirements Organized and facilitated sprint planning, daily stand-up meetings, reviews, retrospectives, release planning, demos and other Scrum-related meetings Served as a database administrator (DBA) to ensure that the logical and conceptual design meet the business requirements, enhance database performance, handle performance tuning, and conduct regular system backups Acted as a liaison between various remote groups and third party vendors in order to communicate business requirements to various stakeholders ensuring the deliverable quality, schedule adherence and risk mitigation Captured and documented best practices and organized knowledge transfer and training workshops to streamline the new employee/team member orientation process, which reduced the bug injection rate Analyzed and determined the roles and responsibilities of individuals to maximize the overall team performance by identifying, developing and using strengths of team members, as well as locating, detecting and resolving problems and weaknesses of each team individual EDUCATION Masters of Science, Analytics University of New Hampshire, USA Bachelors of Science, Finance and Accounting University of Bradford, UK
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