MMK Marketing, The Retail Experience Agency

• 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Multiple clients struggle to distinguish noisy data from meaningful signals, leading to slow or misguided decisions.
• 𝗔𝗰𝘁𝗶𝗼𝗻: Research, conceptualize, and pitch a metrics framework (incorporating metric standardization, metric trees, XmR charts, and Weekly Business Reviews, among other tools) to help teams systematically test growth hypotheses and measure results.
• 𝗥𝗲𝘀𝘂𝗹𝘁: Strengthened MMK’s data-driven reputation—sparking a series of client conversations and earning internal recognition for initiative—while continuing to develop frameworks that help teams systematically test growth hypotheses.

Senior Data Analyst

• 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: A B2B CRM client was channeling ad spend into leads who rarely converted, suggesting major misalignments between marketing and product usage data.
• 𝗔𝗰𝘁𝗶𝗼𝗻: Led an exploratory analysis using product usage, web analytics, and ad performance data (using SQL + Python) to identify friction points in the onboarding flow. Presented an “activation funnel” concept that spotlighted critical user drop-offs and underperforming channels.
• 𝗥𝗲𝘀𝘂𝗹𝘁: Drove a cross-functional repositioning involving marketing, product, customer success, sales, and leadership that doubled monthly customer acquisition while cutting ad spend by 50%, achieving 4x improvement in CAC efficiency through rapid experimentation and channel optimization. Provided weekly insights that fueled continuous website, landing-page and email-campaign optimization.
• Additionally, supported 4 other B2B and B2C clients by assessing project opportunities, refining growth strategies, and providing data analysis to inform marketing optimizations.

Marketing Data Analyst / Growth Analyst

Omdena

• 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: ESG (Environmental, Social, Governance) reports were largely unstructured, making it hard for stakeholders to measure corporate sustainability performance.
• 𝗔𝗰𝘁𝗶𝗼𝗻: Helped build a custom ETL pipeline (Python, text-extraction libraries) to transform dense text into structured data. Leveraged language analysis to rank companies' ESG factors.
• 𝗥𝗲𝘀𝘂𝗹𝘁: Accelerated the development of an ESG benchmarking system, enabling project leads to compare corporate reports more efficiently.

Junior Machine Learning Engineer

SpaceLab

• 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Difficult to identify planets due to noisy, high-volume NASA and Caltech data.
• 𝗔𝗰𝘁𝗶𝗼𝗻: Leveraged Python (TensorFlow, scikit-learn) to optimize a convolutional neural network’s hyperparameters, improving feature extraction from time-series data. 
• 𝗥𝗲𝘀𝘂𝗹𝘁: Enhanced the ML pipeline for exoplanet detection by refining the CNN architecture and hyperparameters, resulting in noticeably improved detection accuracy.

Data Scientist | Machine Learning Engineer

General Assembly

• Collected, cleaned, and integrated diverse datasets using Python and SQL, ensuring quality data for analysis.
• Conducted exploratory and statistical analyses to uncover trends and validate hypotheses.
• Engineered predictive models using machine learning and natural language processing techniques.
• Employed systematic frameworks from hypothesis generation to outcome validation to achieve repeatable analytical success.
• Synthesized complex findings into intuitive visualizations and narratives, while managing data workflows with Git to maintain reproducibility and collaboration.

Data Science Fellow

ElephantBlack

• 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Clients lacked evidence-based approaches to validate ROI for multi-channel marketing campaigns (search, social, email). Many relied on guesswork and saw inconsistent results.
• 𝗔𝗰𝘁𝗶𝗼𝗻: Co-founded agency with a data-first approach—integrated quantitative analyses (e.g., sales trend analysis, segmentation) into brand positioning, creative strategy, and multi-channel CRO efforts. Designed test plans to optimize ad copy and landing pages across paid search, social, and email channels using A/B testing frameworks.
• 𝗥𝗲𝘀𝘂𝗹𝘁: Achieved up to a 52% uplift in marketing returns across key accounts and secured 12–13x ROAS for select eCommerce clients through multi-channel analysis and optimization recommendations.

Co-Founder

Sean Atkinson

• Provided high-quality copywriting services for digital campaigns, websites, and marketing materials, collaborating closely with diverse clients to capture their brand voice and drive engagement. 
• Managed the complete content lifecycle from concept to delivery while consistently meeting project deadlines.

Copywriter

Terapeak (Acquired by eBay Inc.)

• Drove sales for a specialized SaaS analytics platform by leveraging data-driven strategies and digital selling techniques to secure new customers and expand market share. 
• Delivered compelling product demonstrations and managed the entire sales cycle in a dynamic, competitive tech environment, contributing to Terapeak’s market growth.

Sales Executive

Info-Tech Research Group

• Developed new business opportunities, grew pre-existing accounts, and resurrected dormant accounts across North America, Europe, and Africa using strategic prospecting and consultative selling. 
• Ranked in the top 10% in both prospecting and daily productivity.

Business Development Manager

University of Toronto

• Managed circulation, inter-library loan services, and resource organization at the Gerstein Information Centre, University of Toronto, while providing exceptional support to librarians and addressing patron inquiries. 
• Streamlined processes and maintained accurate records to enhance the library’s operational efficiency.

Assistant Library Technician

• Supported a professor’s research by conducting literature reviews, collecting and analyzing data, and assisting in the preparation of academic reports, papers, and publications. 
• Collaborated on project planning and logistics to ensure timely and high-quality research outcomes.

Research Assistant

BL Clark

• Identified and secured private financing deals for publicly traded micro-cap companies by negotiating and structuring tailored financing packages designed to fuel business growth and broaden market presence. 
• Facilitated cross-functional communication among financiers, lawyers, and bankers to ensure seamless deal execution and expand the customer base.

• Conducted comprehensive market research and financial analysis to track global trends and identify promising investment opportunities, maintaining a detailed watchlist of over 15,000 companies. 
• Produced insightful reports and strategic recommendations that informed key investment decisions for global investors.

Research Analyst

Data Analyst | SQL + Python + Tableau + Excel | 12 Years in Sales & Marketing | Transforming Complex Data into Insights

During my 6th birthday celebration, mom burst into my room. I had some close friends over, and we were playing with my new gift—my very own LinkedIn account. Oh my.

I’m still waiting for people to accept the connection requests I sent out that day.

𝗠𝘆 𝗯𝗿𝗮𝗶𝗻 𝗱𝘂𝗺𝗽𝘀 𝗼𝗻 𝗵𝗲𝗿𝗲 𝘂𝘀𝘂𝗮𝗹𝗹𝘆 𝗿𝗲𝘃𝗼𝗹𝘃𝗲 𝗮𝗿𝗼𝘂𝗻𝗱:

1. Data-Driven Growth Strategy
2. Strategic Thinking + Operational Excellence
3. AI + Analytics
4. Personal + Professional Growth
5. Marketing + Product + Experimentation

All served up with a generous side of business-building brilliance.

Some of my posts are 𝘴𝘭𝘪𝘨𝘩𝘵𝘭𝘺 unhinged but in a haha funny way, not in a someone please check on this man sort of way.

If you're still reading this, you're either intrigued or accidentally clicked 'see more.' 

Either way, welcome.

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