Summary
Overview
Work History
Education
Skills
Accomplishments
Languages
Internships Volunteering
Relevant Industry Training
Links
Hobbies and Interests
Personal Information
Affiliations
Certification
Interests
Timeline
Generic
Randy - Randeep Dosanjh

Randy - Randeep Dosanjh

Burnaby,Canada

Summary

Senior Data Engineer with 20+ years of expertise in data warehousing, cloud computing, and a deep understanding of MLOps, AI, and Big Data projects. Skilled at driving transformative digital strategies to enhance business growth, specializing in aligning data-driven initiatives with organizational goals for increased operational efficiency and customer satisfaction. Passionate about leveraging advanced analytics to foster industry-wide innovation and digital acceleration. Proficient in machine and deep learning with a background in data mining, warehousing, and analytics. Quality-driven and hardworking professional with excellent communication and project management skills. Experienced leader with a strong background in guiding teams, managing complex projects, and achieving strategic objectives. Expertise in developing efficient processes, ensuring high standards, and aligning efforts with organizational goals. Known for collaborative approach and commitment to excellence, consistently delivering exceptional results. Dynamic individual with hands-on experience in Analytics, Reporting, Project Planning, Full-Life Cycle Project Analytics, and post-project data maintenance with a focus on data integrity. Strong problem-solving skills and proactive approach to new tasks. Adaptable, creative, and results-oriented. Committed to making meaningful contributions and advancing organizational goals, dedicated to driving success in every endeavor.

Background includes data mining, warehousing, and analytics. Proficient in machine and deep learning. Quality-driven and hardworking with excellent communication and project management skills.

Experienced leader with strong background in guiding teams, managing complex projects, and achieving strategic objectives. Excels in developing efficient processes, ensuring high standards, and aligning efforts with organizational goals. Known for collaborative approach and commitment to excellence.

Overview

21
21
years of professional experience
1
1
Certification

Work History

Cloud and AI Data Architect

Microsoft
11.2024 - Current
  • Company Overview: Microsoft AI Cloud Partner Program
  • Microsoft AI Cloud Partner Program
  • Gathered, defined and refined requirements, led project design and oversaw implementation.
  • Developed database architectural strategies at modeling, design, and implementation stages to address business or industry requirements.
  • Established and secured enterprise-wide data analytics structures.
  • Managed identification, protection and use of data assets.
  • Designed data models for complex analysis needs.
  • Planned and installed upgrades of database management system software to enhance database performance.
  • Developed and maintained courteous and effective working relationships.
  • Demonstrated strong organizational and time management skills while managing multiple projects.

Data Engineer (SharePoint Techical BA)

BC Hydro
08.2018 - 01.2019

ompany Overview: Vancouver, Canada Area

  • Engineering strategic roadmaps in line with Microsoft's AI Cloud Program responsibilities
  • Facilitated knowledge exchange and solution co-creation in AI and cloud sector
  • Initiated performance-driven measures to enhance partner technical skills
  • Propelled digital acceleration industry-wide through innovative strategies
  • Boosted customer satisfaction and business growth measurably
  • Implement targeted initiatives to enhance partner technical proficiency, resulting in notable improvements in customer satisfaction and business growth metrics
  • Conduct in-depth analysis of market trends and partner capabilities, informing strategic decisions that align with each clients vision and customer needs
  • Spearhead AI Cloud innovation, aligning partner strategies with what clients required of me
  • Drive industry-wide digital acceleration, fostering collaborative solution development
  • Conduct comprehensive market analyses to inform strategic decisions
  • Implement data-driven initiatives, enhancing partner technical proficiency and customer satisfaction
  • Propel business growth through targeted partner skill enhancement programs
  • Measurably improve customer satisfaction metrics and drive tangible business outcomes
  • Pioneer cutting-edge strategies in AI and cloud sectors
  • Facilitate knowledge exchange platforms, fostering a culture of continuous learning and innovation
  • Orchestrate cross-functional teams to co-create AI solutions
  • Strengthen partner ecosystems, aligning capabilities with evolving customer needs and market trends
  • Spearhead AI Cloud innovation, aligning partner strategies with client needs
  • Drive industry-wide digital acceleration through collaborative solution development
  • Developed SharePoint-based applications enhancing business intelligence and content management
  • Optimized business process management through innovative application development
  • Fostered collaboration via well-configured SharePoint websites
  • Engineered SharePoint solutions, enhancing data management and boosting operational efficiency
  • Streamlined workflows, resulting in significant time savings and improved decision-making processes
  • Vancouver, Canada Area

Data Engineer (VBA Data Forms Developer)

Government of Canada
06.2016 - 06.2017
  • Innovated Government of Canada's applications using emerging technologies
  • Streamlined processes, enhancing citizen services
  • Amplified application performance and user experience
  • Boosted citizen engagement and satisfaction through measurable improvements
  • Data Forms were for research and possible Machine Learning (ML)
  • Conducted in-depth analysis of existing processes, identifying bottlenecks and implementing targeted solutions
  • Significantly enhanced user experience and engagement metrics
  • Drove measurable improvements in application performance, directly contributing to increased citizen satisfaction
  • Streamlined data management processes for optimal efficiency

Tech Lead

Tech Mahindra
05.2016 - 06.2016

The End-Client was Telus listed next as a Business Systems Analyst

Business System Analyst

Telus
05.2016 - 06.2016
  • Company Overview: Burnaby
  • Worked with cross-functional team initiatives for software solution innovation at Telus (end-client)
  • Integrated agile methodologies for efficient project execution
  • Delivered solutions products ahead of schedule
  • Optimised project execution strategies, consistently delivering high-quality software products ahead of schedule and exceeding client expectations
  • Identified and rectified business system inefficiencies at Telus through data-driven analysis
  • Designed and implemented innovative solutions to complex business problems which can be used for machine learning to improve telecom operations
  • Fostered a culture of continuous improvement through systematic analysis
  • Increased productivity through process streamlining
  • Conducted thorough data analysis to pinpoint and resolve business system inefficiencies, leading to streamlined processes and enhanced productivity
  • Devised and executed creative solutions for complex business challenges, fostering a culture of continuous improvement through systematic analysis
  • Burnaby

Data Engineering & Data Architect (Production IT)

Cargill
04.2011 - 04.2016
  • Leveraged complex data analysis to steer strategic decisions
  • Developed predictive models, transforming market trend predictions and risk evaluations
  • Enhanced supply chain efficiency, boosting profitability
  • Worked with production department engineering so help improve the efficiency of factory production workflows with more efficient manufacturing machines (Machine Learning)
  • Optimized supply chain processes, leading to significant profitability gains
  • Implemented data-driven solutions that measurably improved operational efficiency
  • Pioneered novel data engineering techniques, revolutionizing the approach to complex market analysis and risk evaluation within the organization
  • Fostered cross-functional partnerships to integrate data insights across departments, enhancing overall decision-making processes and business outcomes
  • Spearheaded the adoption of cutting-edge data technologies, positioning the company at the forefront of data-driven strategic planning in the industry
  • Developed predictive models for market trends and risk assessment, enhancing data-driven decision-making
  • Implemented solutions that measurably improved operational efficiency
  • Pioneered data engineering techniques, revolutionizing complex operations analysis
  • Spearheaded adoption of cutting-edge technologies with the attempt to be positioning the company as an industry leader

Data Architect Engineer for SharePoint

IBM
12.2013 - 02.2014
  • Company Overview: BC Government end-client
  • Led Microsoft solutions optimization for IBM, improving workflow and team collaboration
  • Performed comprehensive analysis of Microsoft systems, pinpointing improvement areas
  • Applied data-driven solutions, enhancing system performance using SharePoint Data which was being engineered and analyzed for a SQL Server SSRS end point for this initiative
  • The entire solution was provided with details, steps and screenshots on the first week
  • Streamlined Microsoft-based processes, resulting in measurable productivity gains and improved client satisfaction for BC Government project
  • Facilitated seamless integration of Microsoft tools across departments, promoting a culture of digital collaboration and knowledge sharing
  • Pioneered innovative Microsoft-based strategies, positioning IBM as a leader in digital transformation solutions for government clients
  • Conducted in-depth analysis of Microsoft systems, identifying key areas for optimization and implementing data-driven solutions to enhance performance for BC Government project
  • The project time was 8 weeks, the project was on hold for much longer and there was no more time or room to continue
  • Conducted comprehensive analysis of Microsoft systems for BC Government project, identifying key optimisation areas and implementing data-driven solutions to enhance performance
  • BC Government end-client

Data Engineerin( SharePoint Development )

G & F Financial Group
06.2009 - 10.2010
  • Led SharePoint data engineering projects
  • Streamlined workflows, boosting inter-department collaboration
  • Enhanced operational efficiency in financial services via high-impact projects
  • Banking machines and devices used this SharePoint Data project to develop not only SharePoint Sites but, also use the sites to engineer real time reporting of data and then, that data was put through analytics workflows to help customers and various departments in the credit union
  • Engineered SharePoint solutions, optimizing data workflows and inter-departmental collaboration
  • Implemented strategic projects to enhance operational efficiency in financial services
  • Spearheaded data engineering initiatives, driving measurable improvements in workflow efficiency
  • Delivered high-impact projects that streamlined financial operations
  • Pioneered SharePoint data solutions, revolutionizing inter-department collaboration
  • Developed cutting-edge projects that significantly boosted operational efficiency
  • Fostered cross-functional teamwork through SharePoint data engineering
  • Facilitated seamless information flow, enhancing departmental synergy and operational effectiveness

Programming Services Consultant

Central 1 Credit Union
10.2008 - 04.2009
  • Company Overview: Vancouver
  • Evaluated and revamped credit union systems
  • Innovated custom programming solutions to unique challenges
  • Boosted productivity through process streamlining credit union machines and production workflows for various departments
  • Data accumulation with this script was designed to be used to improve efficiency with data engineering and what is now machine learning with machine language (ML)
  • Engineered custom programming solutions to address unique challenges faced by credit unions, driving technological advancement in the sector
  • Implemented process streamlining initiatives, resulting in substantial productivity gains and improved operational performance across credit union systems
  • Partnered with cross-functional teams to develop and implement tailored software solutions, enhancing credit union operations and member services
  • Helped to spearhead the adoption of this new script technologies, positioning credit unions at the forefront of digital transformation in the financial sector
  • Vancouver

Data Engineering (SharePoint Resource)

WestPort Innovations
03.2008 - 08.2008

Systems Support Administrator

BC Transmission Corporation
08.2007 - 11.2007

IT Aid & Data Architect

EWOS
04.2004 - 08.2007
  • Orchestrated hardware and software enhancements
  • Expedited IT/IS updates, adhering to strict project timelines
  • Optimized technical support processes
  • Boosted client satisfaction via reduced downtime in key government and corporate projects
  • Managed IT support enhancements, driving system efficiency and reducing ticket resolution time
  • Developed strong cross-functional team collaborations, ensuring smooth IT integration
  • Pioneered AD-Hoc Data Analytics applications, leading to the first ERP implementation
  • Devoted four years to diverse IT projects, returning in 2011 to finalize the ERP project
  • Oversaw ERP testing, user training, documentation and enhancements in the production Supply Chain
  • Improved database performance by optimizing queries, indexing strategies, and overall architecture design.
  • Created multi-site system architecture plans to reduce redundancy across entire organization.
  • Migrated numerous legacy systems to newer technologies, reducing costs and enhancing efficiency of computing tasks.
  • Generated customized architecture specifically optimized for several database technologies.
  • Established and secured enterprise-wide data analytics structures.
  • Gathered, defined and refined requirements, led project design and oversaw implementation.
  • Designed and maintained comprehensive system documentation for easy reference by internal teams, ensuring smooth knowledge transfer during production operations work flows.
  • Spearheaded cross-functional collaboration, driving successful implementation of strategic big data initiatives across departments.

Education

Masters in Data Science - Data Science, AI, ML & Analytics

Massachusetts Institute of Technology
Massachusetts, USA (MITx)
01.2026

IBM Data Science Professional -

IBM Corp
10.2024

Information Technology & Management -

British Columbia Institute of Technology (BCIT)
03.2019

Computer Information Systems -

Kwantlen Polytechnic University (KPU)
04.2007

Skills

  • Machine Learning
  • SharePoint Integration
  • Data Pipeline Development
  • Cloud Computing
  • API Development
  • Data Warehousing
  • Data Visualization
  • Data Governance
  • Cross-Functional Collaboration
  • Big Data Analytics
  • ETL Processes
  • Business Intelligence
  • Data Quality Assurance
  • Database Administration
  • Predictive Analytics
  • Data Analytics
  • Data Strategy
  • Solution Design
  • Data Integration
  • Data Science
  • Data Engineering
  • Python programming
  • Machine learning
  • SQL databases
  • Statistical analysis
  • Scikit-learn
  • Natural language processing
  • Neural networks
  • R programming
  • Big data analytics
  • Agile methodology
  • Database management
  • Sentiment analysis
  • Data wrangling
  • Feature engineering
  • Data mining
  • Business forecasting
  • Anomaly detection
  • Reinforcement learning
  • Optimization techniques
  • NoSQL databases
  • Performance data synthesis
  • Business requirements gathering
  • Probability theory
  • Enterprise resource planning software
  • Data operations
  • Graph theory
  • Data exports
  • Intelligence gathering
  • ERP, CRM - on-premise, hybrid or cloud expertise
  • Agile framework
  • ETL development
  • Deep learning
  • Technical problem solving
  • Data screening
  • Business process modeling
  • Data utilization
  • Large dataset manipulation
  • Analytical thinking
  • Problem-solving
  • Time series analysis
  • BI tools expertise
  • Linear algebra
  • Bayesian statistics
  • Data science research methods
  • Large dataset management
  • Multitasking Abilities
  • Attention to detail
  • Data governance
  • Critical thinking
  • Data programming
  • Decision-making
  • Excellent communication
  • Data aggregation processes
  • Data acquisitions
  • Data repositories
  • Advanced data mining
  • Organizational skills
  • Task prioritization
  • Problem-solving abilities
  • Teamwork
  • Data-driven decision making
  • Project management
  • Time management abilities

Accomplishments

  • Used Microsoft Excel to develop inventory tracking spreadsheets.
  • Used Python, R, R-Studio, Jupyter, Anaconda
  • Worked heavily using Windows, Windows Server, RedHat Enterprise Linux
  • Resolved product issue through consumer testing.
  • Supervised team of more than 250 of combined end-users, management & contractors while testing, deploying, implementing, & testing members for maintaining Full Life Cycle ERP and CRM projects
  • Documented and resolved day-to-day troubleshooting and support tickets which led to reduced tickets over time and less cost slow downs due to user inactivity.
  • Documented and resolved Testing and On-going ERP & CRM issues which led to longer term company managed trouble-tickets from end users and reduced trouble-tickets with improvements to upgrades, training users, documentation with product support issues to ERP and CRM projects which I was an SME of the development of.
  • Documented and resolved day-to-day issues, documented and then upgraded products and users which led to more productivity and reduce the cost needed for support, upgrades and training.
  • My 2 largest ERP & CRM projects below:

  • Achieved the first ERP Cargill Aqua in Surrey, BC Canada & the first CRM at the G&F Financial Group Credit Union by introducing Ad-Hoc network Authenticated projects in C#.NET, VB.NET, ASP.NET using Oracle and Sql Server with Excel spreadsheets for data sources and then used ADO, LINQ & JQuery to write data to reports in all departments.
  • Achieved the first CRM at the G&F Financial Group Credit Union by introducing SharePoint with an embedded ASP.NET which were in a integrated project within SharePoint using C#.NET, ASP.NET with Javascript using Oracle and Sql Server with Excel spreadsheets for data sources and then used ADO, LINQ & JQuery to write data to reports in all departments.

Languages

English
Native or Bilingual

Internships Volunteering

  • Customer Feedback Analyst, BusinessObjects (SAP), Vancouver, 11/01/05, 03/31/06
  • Technical Support, Intrawest Corp. (Club Intrawest), Vancouver, 11/01/05, 03/31/06

Relevant Industry Training

  • What is Data Science, IBM, 10/01/24
  • Tools for Data Science, IBM, 10/01/24
  • Python Project for Data Science, IBM, 10/01/24
  • Python for Data Science, AI & Development, IBM, 10/01/24
  • Machine Learning with Python, IBM, 10/01/24
  • Generative AI Elevate Your Data Science Career, IBM, 10/01/24
  • Databases and SQL for Data Science with Python, IBM, 10/01/24
  • Data Visualization with Python, IBM, 10/01/24
  • Data Scientist Career Guide and Interview, IBM, 10/01/24
  • Data Science Methodology, IBM, 10/01/24
  • Data Analysis with Python, IBM, 10/01/24
  • Applied Data Science Capstone, IBM, 10/01/24
  • Computer Information Systems (CISY), Kwantlen Polytechnic Institution, 04/01/07
  • IBM Data Science Professional Designation, IBM, 10/01/24
  • Probability, MITx, 05/01/24
  • Statistics, MITx, 12/01/24

Links

  • https://www.crunchbase.com/person/randeep-dosanjh
  • https://www.quora.com/profile/Randeep-Dosanjh
  • https://clickstreamfirewire.wixsite.com/clickstream-consulti (www.clickstreamconsultinginc.com)
  • https://sway.cloud.microsoft/0tJU1v6GFuuMoVfr (www.randeepdosanjhconsulting.com)


Hobbies and Interests

  • Technology
  • Video Games
  • Reading
  • Watching Documentary
  • NHL Hockey Night in Canada
  • Monday Night Football
  • Sports and Sporting Events
  • Going to long walks
  • Coffee places
  • Libraries
  • 1970s, 1980s, some 1990s comedy movies
  • Jerry Seinfeld Show
  • Classic rock & blues

Personal Information

  • Citizenship: Natural Born Citizen
  • Title: Senior Data Engineer / Data Scientist (ML & AI)
  • Nationality: Canadian (Natural Born)

Affiliations

  • Business Development Bank of Canada Business Development Bank of Canada View Points Panel Member
  • Microsoft AI Cloud Program
  • Microsoft Research Panel Microsoft Research Panel Microsoft Partner Participant
  • Lenovo Business Partner
  • Microsoft Partner Network
  • Oracle Oracle Business Partner -ReMarketer ·
  • IBM Partner Network IBM Partner Network Business Partner (ISV, Reseller, Consultant)
  • Cisco CCNA Certification Program
  • Kwantlen Polytechnic University
  • Massachusetts Institute of Technology
  • British Columbia Institute of Technology

Certification


  • IBM - What is Data Science
    Issued Oct 2024 · Credential ID U3W5VP8MCYQ7
  • IBM - Tools for Data Science
    Issued Oct 2024 · Credential ID 97DZPEHCYK2Y
  • IBM - Python Project for Data Science
    Issued Oct 2024 · Credential ID AAV9MF888Z7Z
  • IBM - Python for Data Science, AI & Development
    Issued Oct 2024 · Credential ID FH98A43SZ2CS
  • IBM - Machine Learning with Python
    Issued Oct 2024 · Credential ID 6D2D48MKHGRT
  • IBM - Generative AI: Elevate Your Data Science Career
    Issued Oct 2024 · Credential ID 8CWNCDPG8OLP
  • IBM - Databases and SQL for Data Science with Python
    Issued Oct 2024 · Credential ID HPF7YBDAAS8W
  • IBM - Data Visualization with Python
    Issued Oct 2024 · Credential ID W4MZ2R8PYNW2
  • IBM - Data Scientist Career Guide and Interview
    Issued Oct 2024 · Credential ID G7MV1FF622FI
  • IBM - Data Science Methodology
    Issued Oct 2024 · Credential ID NJFDL2D8JT9W
  • IBM - Data Analysis with Python
    Issued Oct 2024 · Credential ID I7ZL82IISM8P
  • IBM - Applied Data Science Capstone
    Issued Oct 2024 · Credential ID FPLMYJWWOKJ6
  • IBM Data Science Professional Designation
    Issued Oct 2024 · Credential ID O47YN7561D93
Other Academic & Professional Certifications
  • MITx 6.431x Semester Course - Probability
    Issued May 2024 · edX, Massachusetts Institute of Technology
  • MITx 18.6501x Semester Course - Statistics
    Issued Dec 2024 · edX, Massachusetts Institute of Technology
  • Computer Information Systems (CISY)
    Issued Apr 2007 · Kwantlen Polytechnic Institution
Business & Professional Licenses
  • HIPAA Associate (Handling Electronic PHI Securely)
    Issued Nov 2020
  • Dell Expert
    Issued Oct 2019 · Credential ID DEX00205
  • Lenovo Authorized Service Provider
    Issued Jan 2019
  • Lenovo Business Partner
    Issued Jan 2019
  • IBM Business Partner Integrity Certificate
    Issued Sep 2012
  • Microsoft Business Solutions
    Issued Jul 2012 · Credential ID 0105710423
  • Oracle Business Partner (ReMarketer Level for Sales)
    Issued Apr 2011
  • Microsoft AI Cloud Partner
    Issued Jan 2010 · Credential ID 73119550
  • Cisco CCNA
    Issued Apr 2007 · Credential ID 4956331
  • Samsung Corporate Reseller
    Credential ID 0004900507

Interests

  • I enjoy helping others and giving back to the community
  • Supporting STEM education initiatives and mentorship programs
  • Exploring famous landmarks, historical sites, and cultural attractions in a new destination
  • Classic Rock & Roll, Blues music
  • Acting and Theater
  • Getting involved in local advocacy groups to promote positive change in the community
  • Fundraising Events
  • Offering time and support to shelters for the homeless, women, minority groups, and animals
  • Homelessness Outreach
  • Participating in fundraising events to support local charities, schools, or community projects
  • Improve personal fitness
  • Aim to ideally be balancing physical health with mental and emotional wellness

Timeline

Cloud and AI Data Architect

Microsoft
11.2024 - Current

Data Engineer (SharePoint Techical BA)

BC Hydro
08.2018 - 01.2019

Data Engineer (VBA Data Forms Developer)

Government of Canada
06.2016 - 06.2017

Tech Lead

Tech Mahindra
05.2016 - 06.2016

Business System Analyst

Telus
05.2016 - 06.2016

Data Architect Engineer for SharePoint

IBM
12.2013 - 02.2014

Data Engineering & Data Architect (Production IT)

Cargill
04.2011 - 04.2016

Data Engineerin( SharePoint Development )

G & F Financial Group
06.2009 - 10.2010

Programming Services Consultant

Central 1 Credit Union
10.2008 - 04.2009

Data Engineering (SharePoint Resource)

WestPort Innovations
03.2008 - 08.2008

Systems Support Administrator

BC Transmission Corporation
08.2007 - 11.2007

IT Aid & Data Architect

EWOS
04.2004 - 08.2007

Masters in Data Science - Data Science, AI, ML & Analytics

Massachusetts Institute of Technology

IBM Data Science Professional -

IBM Corp

Information Technology & Management -

British Columbia Institute of Technology (BCIT)

Computer Information Systems -

Kwantlen Polytechnic University (KPU)
Randy - Randeep Dosanjh