Omotola Olasope

image




Commodities and Equities Specialist at Bloomberg, serving EMEA and drawing on a unique background in Data Engineering, Security Intelligence, and Cross-Domain Analytics. I turn market complexity into clarity for investors and business leaders.

Scroll Down

Projects

image

Commodities & Derivatives Analytics

Commodities and Commitment of Traders (COT) Analytics Platform on Bloomberg BQuant

I built a comprehensive multi tab analytical dashboard on Bloomberg's BQuant platform that transforms CFTC Commitments of Traders data into actionable market intelligence for commodity traders and portfolio managers.

Market Positioning & Sentiment: Multi-commodity COT snapshot with Z-score extremes, long/short ratios, and trader category breakdowns (Commercial, Managed Money, Producers) with color-coded statistical significance.

Futures Curve Analysis: Interactive term structure dashboard featuring normalized forward curves, calendar spreads, roll yield calculations, and automated regime classification (Contango/Backwardation with intensity scoring).

Advanced Analytics: Market regime detection via Hurst exponents, volatility analysis (IV vs RV), position dynamics tracking, 5-year seasonality patterns, cross-commodity correlations, and notional value exposure analysis.

Contact me for a walkthrough
image

Equities & Portfolio Insights

Building BQuant Apps on Bloomberg for Equities and Portfolio Analytics

I developed and customised a suite of BQuant apps on Bloomberg to streamline stock and fund portfolio workflows, making market analysis faster and more intuitive. One of them is the Analyst Recommendation Visualizer where I extended Bloomberg’s draft app to support both Portfolio ID and Security List inputs, enabling aggregated buy/hold/sell consensus ratings and target prices.

Features include sector grouping, time-frame filters, and drill-downs into historical recommendation trends.

Contact me for a walkthrough
image

River Health

Building A River Health Monitoring and Analysis Platform: RivHealth

This project, a proof-of-concept (POC), involved creating a geospatial platform to visualize telemetry data and identify pollution sources. Users can click on any monitoring site to view time series data for water readings and quality metrics. As the data engineer, I built a scalable data platform, connecting to open-source APIs for EDM data, rainfall, groundwater, and river levels. I integrated multiple datasets for comprehensive river health analysis, including data from citizen scientists and water companies.

View the POC Here
image

Stock Data Processing

Building Trustworthy Data for Algorithmic Trading

This project delves into the critical role of data quality for algorithmic trading robots. I designed and implemented a robust data pipeline to ensure the models were trained on reliable and accurate data. Read the full story on Medium.

Read More Here
image

Stock Data Processing

Building a Streamlined Stock Data Pipeline to PostgreSQL on AWS

In this data engineering project, I built an automated data pipeline on AWS to streamline stock data for select companies! You can read my Medium post where I explained more on: - Extracting & transforming data with Python & pandas - Securely storing it in a PostgreSQL database on RDS - Automating everything with Airflow, Docker & Lambda

Read More Here
image

Data Migration

Large-Scale On-Premise to Cloud Data Migration with AWS CloudFormation, File Gateway and CloudWatch Alarms

This project involved the successful migration of a large organization's on-premise data to the cloud. Leveraging the power of AWS CloudFormation, I created a secure and scalable infrastructure, including: VPC Base: Defined the network infrastructure for deploying resources. Windows Instance: Established an on-premise machine for file server access. File Gateway: Facilitated seamless data transfer from the on-premise network. NFS File Share: Received migrated data in the cloud. CloudWatch Alarm: Triggered alerts for exceeding data transfer thresholds.

Contact Me
image

Database/Schema Design

Strategic Database Design And Schema Development For A Sensitive Government Project

I led the comprehensive development of a database, meticulously crafting an intricately connected schema, and weaving together tables for optimal data organization. My focus extended beyond mere structural design, I prioritized data integrity, strategically normalizing the schema to enhance both accessibility and security. This initiative resulted in a resilient and efficient system that seamlessly integrates Online Transaction Processing (OLTP) for real-time data management and Online Analytical Processing (OLAP) for in-depth analysis and reporting.

Contact Me
image

Streaming Pipeline

Dynamic Real-Time Streaming Pipeline Architecture

In this project, I restructured a Python script into a dynamic Lambda function, leveraging AWS for the development of a real-time financial data streaming pipeline. The orchestration is handled through an IAM role endowed with Admin privileges, ensuring seamless execution. Key components include the establishment of a DynamoDB table for data storage, the implementation of automated Lambda triggers using CloudWatch, and the incorporation of proactive monitoring through AWS SNS notifications. This optimized architecture on AWS enhances the efficiency and responsiveness of the financial data streaming process.

Contact Me
image

Normalisation

Database Normalisation

I transformed a denormalized database into Third Normal Form (3NF), resulting in a reduction in data storage and an improvement in query response time.

Contact Me
image

Website

AI Powered Website

Leveraging Python and AWS, I developed a serverless portfolio website with integrated Natural Language Processing (NLP). This technology enables the website to automate personalized email responses by intelligently analyzing user messages. Reach out through the website, and experience intelligent interactions.

View Here
image

Python

Python Genetic Code Validation

Using Python, I designed and implemented RNA code validation and complementary strand generation functions, reducing manual validation time and ensuring accuracy in identifying valid RNA codes.

Contact Me

About Me.

image

My experience spans diverse domains including security intelligence, data engineering, finance, equities, and commodities research. This multidisciplinary background allows me to approach complex challenges with unique insights and innovative solutions.

Currently, I serve as a Commodities and Equities Specialist at Bloomberg, serving EMEA and delivering strategic market insights that empower high-stakes financial decisions. Before Bloomberg, I was a Data Engineering Graduate Intern at Sand Technologies, where I supported critical insurance domain projects, optimized river health assessment systems, and developed enterprise data solutions.

Contact Me

Services.

Data Engineering

Plan, design, and monitor robust and scalable data architectures/solutions to facilitate efficient storage, processing, and movement of data.

Database Management

Administer and optimize databases, ensuring they are well-tuned for performance, reliability, and security.

Data Modeling

Design and implement data models to organize and structure data, ensuring compatibility with analytical and reporting needs.

Contact Me.

If you have any questions or are interested in discussing potential opportunities, feel free to send me an email using the form.

I would also love to hear your thoughts! Leave a comment to share your feedback on my portfolio.

Send Me A Message