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I'm an analytics-first growth and measurement strategist who translates behavioral signals into executable growth plans. With 5+ years of experience at TELUS and BMO, I turn data into revenue by eliminating attribution gaps, unifying siloed data, and guiding executive decisions. I love building robust data ecosystems—from BigQuery pipelines to data-driven attribution models—and presenting clear ROI narratives to C-suite audiences across telecom and financial services.…I'm an analytics-first growth and measurement strategist who translates behavioral signals into executable growth plans. With 5+ years of experience at TELUS and BMO, I turn data into revenue by eliminating attribution gaps, unifying siloed data, and guiding executive decisions. I love building robust data ecosystems—from BigQuery pipelines to data-driven attribution models—and presenting clear ROI narratives to C-suite audiences across telecom and financial services.

Lakkam Harikrishna

Data Scientist, Marketing Analyst, Marketing Strategist, +2

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I'm an analytics-first growth and measurement strategist who translates behavioral signals into executable growth plans. With 5+ years of experience at TELUS and BMO, I turn data into revenue by eliminating attribution gaps, unifying siloed data, and guiding executive decisions. I love building robust data ecosystems—from BigQuery pipelines to data-driven attribution models—and presenting clear ROI narratives to C-suite audiences across telecom and financial services.…I'm an analytics-first growth and measurement strategist who translates behavioral signals into executable growth plans. With 5+ years of experience at TELUS and BMO, I turn data into revenue by eliminating attribution gaps, unifying siloed data, and guiding executive decisions. I love building robust data ecosystems—from BigQuery pipelines to data-driven attribution models—and presenting clear ROI narratives to C-suite audiences across telecom and financial services.

Available to hire

I’m an analytics-first growth and measurement strategist who translates behavioral signals into executable growth plans. With 5+ years of experience at TELUS and BMO, I turn data into revenue by eliminating attribution gaps, unifying siloed data, and guiding executive decisions.
I love building robust data ecosystems—from BigQuery pipelines to data-driven attribution models—and presenting clear ROI narratives to C-suite audiences across telecom and financial services.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Digital Analytics & Marketing Intelligence Analyst at TELUS

February 1, 2024 - Present

Led a full measurement infrastructure rebuild for a $4M/quarter media portfolio, delivering cohesive top-of-funnel visibility and a cross-channel ROI framework. Replaced last-click reporting with a native multi-touch attribution model (linear, time-decay, position-based) across 8 paid channels, surfacing 43% more assisted conversions from connected TV and display, enabling $400K+ in quarterly budget reallocation. Engineered a unified analytics layer bridging Salesforce CRM and Eloqua, revealing four critical nurture drop-offs and raising lead-to-opportunity conversion by 23.1% within 90 days. Delivered 35+ KPI dashboards in Tableau, automating reporting and empowering proactive campaign optimization.

Digital Data Analyst at Bank of Montreal (BMO)

September 1, 2021 - January 1, 2024

Implemented GA4-to-BigQuery streaming to consolidate web analytics, paid media, and CRM data, compressing reporting cycles to under 55 minutes and enabling same-day optimization for a $5M+ portfolio. Unified seven martech platforms via API connectors, delivering the first cross-channel attribution view and eliminating shadow reporting. Conducted Banking Journey Friction Analysis that reduced onboarding drop-offs and improved completion rates by 28.3% within 60 days. Led 55+ experiments with Bayesian significance across web and mobile, resulting in product and UX changes adopted permanently. Established tagging governance across 300+ events (Automated QA reduced data discrepancies by 94.3%). Implemented ML-driven Uplift models forecasting incremental campaign lift, boosting ROI by 17.6% YoY and preventing $420K in wasted impressions. Created 25+ Tableau dashboards with automated refresh and KPI alerts; built identity stitching to increase journey visibility by 65% for 175K+ users.