Analyst, Growth AI - CustomerOne | Aug 2024 - Present

As a Data Scientist focused on Customer Sales Growth, I harness data, NLP (Entity Resolution), and AI to elevate AI-driven CRM systems and drive B2B sales growth. My role is all about deploying McKinsey’s CustomerOne assets to enhance existing customer relationships, and identify new opportunities.

Data Scientist, Generative AI Core Tech - Lilli GenAI | Feb 2024 - Jul 2024

As Data Scientist and Software Engineer at Lilli, McKinsey’s Generative AI live service, I led the creation of the core NER system powered by LLMs, spaCy (Curated Transformer without Lemmatizer) and GLiNER, to enhance query parameters of a Knowledge Graph and other consumers. This drove significant advances in entities parsing from documents and response accuracy, making a distinctive impact on our GenAI Client Capabilities.

• Reduced false-negative detection rates by 70% with a custom LLM-powered NER package implemented within the Lilli’s RAG workflow using FastAPI.
• Enhanced response speed by 71% through GLiNER implementation, improving LLM-based NER processing.
• Boosted NER adoption across 5+ workstreams with a few-shot prompt engineering module as a Python Package.

Data Scientist, CommercialX - QuantumBlack AI | Sep 2023 - Jan 2024

As a Data Scientist at CommercialX, QuantumBlack’s retail (B2C) vertical analytics engine, I focused on assetizing high-impact solutions in pricing and assortment optimization use cases, and supporting client deployments under a BOT model.

• 5.2% gross margin uplift achieved for mid-demand products by integrating a Python optimization algorithm for gross margin maximization, leveraging XGBoost pricing model outputs, within a 6 pp CPI variation scenarios.
• 4+ hours of runtime reduction achieved by engineering a high-performance distributed computing module using PySpark, optimizing data migration between Databricks DBFS and Azure Blob Storage while exporting Gensim-based neural network outputs for product complementarity.

Data Analyst, Growth Marketing & Sales - Periscope | April 2023 - Aug 2023

As a Data Engineer on Periscope’s suite for growth within pricing and promo solutions, I contributed on the migration of inbound data workflows for a Fortune 500 North American department store, becoming instrumental in optimizing data processes and infrastructure under a SaaS model.

• 25TB customer database migrated by transitioning from ExasolDB to SparkSQL, optimizing critical inbound pipelines.
• Enhanced dataflow efficiency by securing a robust infrastructure within Periscope, orchestrated with Jenkins, and integrated with secure SFTP protocols.

Junior Data Analyst, Growth Marketing & Sales - Periscope | March 2022 - Mar 2023

As an Analytics Developer at Periscope, I collaborated with Experts to make a NLP algorithm for product size and price recommendation management, delivering a tailored rule-based solutions for retail pricing use cases.

• 40% speed improvement achieved by optimizing the search and build of product-pricing relationships using a Python TreeNode algorithm, detecting over 5 relationship types in the client’s product shelf assortment.
• 0.5% profit uplift realized by implementing an AA module that optimized the pricing process, recommending package size relationships within product families based on Cosine similarity clusters.

Learn more about the responsibilities of this role at LinkedIn.