Wallaroo.AI

Senior Sales Engineer, Data Science & Machine Learning

Qlik

● Led technical ML conversations during sales cycles, contributing to multiple 5- and 6-figure
deals and aligning PoCs with business goals.
● Acted as AI strategy advisor from ideation to implementation, accelerating time-to-value.
● Mentored junior engineers, translating academic theory into impactful, real-world data
science applications.

Lead Data Science Engineer

Pythian

● Designed and deployed cloud-based ML solutions with automated MLOps pipelines.
● Facilitated feasibility workshops to assess data readiness and business alignment.

Machine Learning Engineer / Solutions Architect

Stradigi AI

● Consulted on ML adoption and implementation, enabling clients to automate workflows and
derive insights.
● Delivered custom ML prototypes that converted leads into customers.
● Guided clients in feature engineering and data extraction to maximize project impact.

Machine Learning Solutions Architect

Wavemaker

● Lead client facing data science projects, along with data science projects related to internal
operations.
● Partnered with senior leadership and international data teams to data science projects for
global clients

Data Scientist

● Partnered with internal and external business intelligence teams to develop and deliver data
science solutions.
● Applied advanced analytics techniques to extract actionable insights from complex client
datasets.
● Used an array of tools in order to engineer data pipelines from 10+ marketing platforms and
databases for use in data science projects for multiple Fortune 100 clients.

Senior Data Analyst

Harry Rosen

● Leveraged SQL and Python data science packages to mine, clean, and analyze large datasets
across transactions, loyalty, customer, product, and web data.
● Led end-to-end analytic projects in cross-functional teams, collaborating with stakeholders
across departments to deliver actionable insights.
● Created and deployed customer-facing analytics solutions using loyalty and profile data, as
part of a small team managing data and analytics across the entire business.

Data Analyst

Avanade

Analyst

The Hospital for Sick Children

Project Analyst (Co-op)

Ivanhoé Cambridge

Asset Management and Operations Information Intern

University Health Network

Corporate Intranet Analyst (Co-op)

My free data science content beats those you'd pay for.

If you made it this far, you're probably here because you read the tech headlines every day and see AI news flooded everywhere. You then think to yourself, "am I missing the AI train?" 

You already have a lot on your plate, and these AI terms, tech and advancements aren't helping. 

You're told you need data to get ahead with AI, but nobody tells you what kind of data. 

You think about starting an AI team, but everyone's expensive, hiring is hard, and delivering value is even harder. 

You then think to purchase 1 of the 1000 off-the-shelf AI products, but which one? Evaluating them is hard. 

Everything AI seems like an uphill battle. 

I get it. 

I've helped countless business leaders navigate AI, while helping brainstorm use cases that bring companies hundreds of thousands of dollars in value. 

I've helped them understand what is and isn't possible with their data. I also have experience evaluating off-the-shelf AI tools to see if they're delivering what they promised. 

Let's have a video call and chat AI over a coffee. I'm buying.

Akmel Syed

1. Working on personal Data Analytics projects
2. Working on Microsoft Power BI analyst certification

•	Spearheaded the development and rollout of a system health and data quality monitoring platform, with self-serve analytics, detailed KPI metric reports, and automated alerts from MVP launch to steady state rollout. The platform saves about 100 hours per month and helps pre-empt data quality issues much earlier in the cycle preventing potential revenue loss. Technologies used- Teradata, MicroStrategy, SAS.
•	Partnered with management (Director/Senior Manager) from Data Science, Data Engineering, Data Visualization, and Data Architecture teams to develop yearly roadmap and strategies for Analytics CoE.
•	Led multiple projects for Cloud migration, collaborating with Data Scientists, Data Engineers, Data Strategy Architects, business users, cloud service providers, and implementation partners to ensure successful migration from end to end. Technologies used – GCP tech stack including Google Cloud Storage, Big Query, Data Proc, Data Flow, Vertex AI
•	Managed several Data Science Projects including Intelligent Revenue Forecasting, and Anomaly Detection in revenue and usage data . 
•	Implemented Agile delivery methodologies for the team, increasing efficiency and collaboration using JIRA and Confluence and helping them transition from a Waterfall-based delivery model to a more Agile-based model. Worked closely with team leads and developers to transition them to Scrum or Kanban methods, depending on the nature of the project deliverable.
•	Automated weekly, monthly, and quarterly Steerco reports using JIRA and Confluence saving 15 hours per week.
•	Developed expertise in GCP tech stack, Azure Data Stack, and Alteryx.
•	Worked closely with workstream leads to conduct POCs for cloud migration, and Generative AI use cases , evaluated third party vendors and worked on RFP preparation
•	Created detailed project plans, Scrum and Kanban boards and conducted scrum ceremonies such daily standups, backlog refinement, sprint planning, and sprint demos

Business Intelligence Developer/Project Manager/Senior Consultant

Self Employed

Completed Master of Data Analytics program from Western University,Canada.
Homeschooling.
Acquired certification in AWS certified Solution Architect.
Volunteered as a Data Analyst for local Non-Profit organisation like Data for Good, Toronto and Co Organiser for Women in Data, Toronto.
Self development and working on personal passion projects on Data Analytics.
Provided peer to peer support to a group of over 30K new parents.

Data Analyst/Stay at home parent

Cognizant

1. Led a team of 8 developers to extract, clean, and transform large volumes of credit card transaction data, and create reports for the Financial Accounting team
2. Collaborated with cross-functional teams and business stakeholders to improve production support resolution time by 50%, enhance 250 existing programs, and create 100+ new programs.
3. Built ETL processes using DB2 SQL , JCL and COBOL for more than 200 batch programs, and generated files and reports from downstream applications to support financial accounting
4. Maintained tracker of all user requests, incident requests, and change requests and produced monthly analytics report to capture the steady improvement in the rate of acceptance, rate of resolution, and reduction in the number of new tickets generated due to the enhancement in existing code base, as well as bug fixes.
5. End-to-end involvement in the SDLC process- starting with requirement gathering, creating documentation such as BRD , functional and technical designs, development , unit testing and regression testing of code, peer review, and delivery.
6. Developed and sustained great working relationships with clients, supporting critical applications for them, resolving critical user queries , and supporting high-severity production incidents.

Senior Associate

Associate

Wipro Technologies

Project Engineer

I am a versatile and seasoned professional with expertise in project delivery, data analytics, and software application development, fueled by a passion for uncovering insights and solving complex problems. With over 9+ years of experience, I bridge the gap between technical excellence and strategic leadership to deliver impactful results for businesses.

As a Project Delivery Lead, I specialize in managing cross-functional teams to ensure projects are delivered on time, within scope, and on budget. I have led and delivered multiple critical projects where I was responsible for managing different teams, project tracking and reporting , risk and defect management, and communication with stakeholders. 

Key Highlights:

Strong experience in agile methodologies, stakeholder engagement, and risk management.
Proven track record of leading international, multi-faceted projects.
I am a collaborative team player with a strong work ethic, skilled in project management tools like JIRA and Confluence. My certifications in Azure further complement my ability to deliver quality outcomes in challenging environments.

Skilled in SQL, Python, Azure,  GCP , Tableau, and Power BI.

Skills:
•	Project Management Tools: Excel, JIRA, Confluence
•	Methodologies: Agile ,Waterfall
•       Programming Languages: SQL, Python
•	Databases and Data Warehousing: SQL Server, MySQL, DB2, Teradata
•	Cloud Platforms: Azure Data Stack, GCP Data Stack
•	Business Intelligence Tools: Tableau, Power BI
•	Data Analytics: Alteryx, Excel	
•	Data Handling: Data Analysis, Machine Learning

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The Battle

Akmel Syed

Debduti Sengupta

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