Anas El Harissi

Increased client lead-to-case conversion by +18% through NLP analysis of inbound call transcripts.

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• Deployed speech-to-text and sentiment analysis models to detect pain points and emotional drivers in client intake calls. Reduced manual lead screening by 40% by deploying machine learning models to classify and prioritize high-intent calls. Improved cost-per-acquisition by 15% by integrating call insights into Google Ads and SEO targeting strategies. Automated data pipelines from CRM and telephony systems, ensuring scalability and accuracy in reporting. Partnered with legal intake specialists to design call scripts based on data insights, improving conversion consistency.

- Leveraged BigQuery on Google Cloud Platform (GCP) to extract and manipulate data from company databases

- Conducted precise analyses of marketing campaigns to help marketing teams assess performance

- Developed and maintained Tableau dashboards for key stakeholders by integrating data from multiple sources

- Led the design, deployment, and automation of a key project that optimized Google Ads bidding budgets for the company's e-commerce activities using advanced scoring and machine learning models, resulting in a 35% increase in ROAS

- Developed and deployed a machine learning model leveraging over 60 features—including customer behavior, marketing pressure, personal information, and purchase history—to predict the probability of customers opting out of the email list

- Developed a customer segmentation strategy using clustering algorithms, resulting in a 30% boost in targeted marketing campaign ROI

- Led automation of data workflows using Python and BigQuery, reducing manual processing time by 87.5% (from 4 hours to 30 minutes).

- Collaborate with cross-functional teams to plan, execute, and deliver IT projects on time and within budget

- Identify and resolve project risks and issues, and communicate project status to stakeholders

- Participate in the development process to ensure that project requirements are properly implemented

- Collaborate with developers to identify and resolve technical issues

- Actively participate in the testing and debugging process to ensure that project deliverables are of high quality and ready for deployment