Benjamin Bialuchukwu Bakwenye

Responsible for enhancing the Customer Company's data and analytics capabilities by developing business intelligence solutions, performing data analysis, optimizing internal data systems and supporting and improving the Salesforce environment.

• • Develop and maintain scalable BI solutions, dashboards, and automated ETL pipelines using Python, SQL, and Azure cloud services to ensure data reliability and efficiency.

• • Generate insights through advanced data analysis and modeling of large-scale ECG and healthcare datasets to support business decisions.

• • Enhance and optimize Salesforce integration with internal tools by automating workflows, reporting, and data synchronization.

Analyze large structured and unstructured datasets to identify trends and anomalies, providing actionable insights through custom ETL pipelines and data cleaning processes. Develop and implement topic modelling solutions, FastText pretraining, and an LSTM-based gender prediction library achieving 94% accuracy on Catalan names. Collaborate weekly with cross-functional teams to ensure best practices and high-quality results.

• • Engineered custom Python libraries for efficient data processing and automated exploratory data analysis.

• • Utilized word embeddings, text classification, LDA, time series regression, and causal inference to quantify and isolate the impact of TV program language on viewership spikes.

• • Matched and merged large volumes of structured text data without explicit identifiers, increasing data consistency and analysis accuracy.

Conducted time series analysis, data cleaning, and machine learning model development for regression and classification tasks. Regularly presented findings and collaborated in biweekly meetings to ensure research alignment.

• • Developed a hybrid pipeline combining TabText and LSTM, improving forecast accuracy by 10% by transforming tabular data into natural language.

• • Created DeepQuery, a web-based tool that aggregates and semantically retrieves policy data for economists, leveraging LangChain, OpenAI embeddings, and FAISS for rapid analysis.