Sanidhya Ravikumar

Business Intelligence Consultant at Hgx Services

Based in Canada

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Seniority

Staff

Department

Information Technology

Location

Canada

Industry

IT Services and IT Consulting

Company size

5

Contact information

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Email

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s•••••••@hgxservices.com

Phone

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Background

About Sanidhya Ravikumar

Passionate about transforming raw data into actionable insights, I am a Data Analyst & Product Analytics Lead with 8+ years of experience in business intelligence, data visualization, and statistical analysis. My expertise lies in leveraging data to drive business decisions, optimize product performance, and enhance user experience across diverse industries—including healthcare, SaaS, agriculture, and consumer platforms. Key Strengths & Skills- Advanced data analytics & visualization using SQL, Python, Power BI, Tableau, and Google Analytics - Product analytics & user behavior insights, enabling data-driven decision-making - Machine learning & predictive modeling, improving operational efficiency and business outcomes - ETL development & data engineering, integrating large-scale datasets for streamlined reporting - Cross-functional collaboration, bridging the gap between business, engineering, and UX Professional Highlights: Product & Analytics Lead @ Liit Care Connect: Spearheaded the end-to-end development of a childcare matchmaking platform, integrating Google Analytics to track performance, optimize user engagement, and improve conversion rates. Senior Data Analyst @ Philips: Led data integration & ETL development, resolving an $800M revenue impact issue by building ML models and automating workflows—boosting efficiency by 66%. Freelance Data Analyst: Designed and automated interactive dashboards, increasing real-time KPI tracking by 40%, and built ML models that improved crop yield prediction by 25%. Healthcare & SaaS Expertise: At RxAdvance, owned critical data modules for 2M+ lives, optimizing eligibility processes for clients like Amazon & Centene. I thrive at the intersection of data, technology, and business strategy—helping companies translate complex datasets into impactful business solutions. Let’s connect to discuss data analytics, product strategy, and how data can drive growth and innovation!

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