About Me

Data Scientist and Analytics Engineer with a passion for uncovering insights in complex datasets

I'm a passionate Data Scientist and Analytics Engineer with a deep curiosity for uncovering patterns and insights hidden within complex datasets. My background in physics has shaped a rigorous analytical mindset and a strong foundation in quantitative modelling, enabling me to approach problems from first principles and to understand systems at both theoretical and empirical levels.

I specialise in building data-driven applications and analytical tools that solve complex problems. My work combines technical expertise with curiosity and creative problem-solving to deliver meaningful solutions in data science and analytics.

Data Science & AI

Expert in Machine Learning, Deep Learning, and Agentic AI. Proficient with Python, PyCharm, Cursor, PySpark, SKLearn, and cutting-edge AI frameworks including OpenAI, LangGraph, and multiple LLM platforms.

Data Engineering

Extensive experience building ETL pipelines, working with SQL, PostgreSQL, MongoDB, GraphDB, and Neo4j. Skilled in cloud computing with AWS and data visualization using Tableau and Plotly.

Analytics & Research

Strong foundation in statistical analysis, quantitative modeling, and research. Ph.D. in Physics with extensive experience in particle physics research at CERN, Fermilab, and leading international collaborations.

Professional Experience

A journey spanning data science, analytics, and fundamental physics research

Data Scientist | Credit Suisse

March 2021 - June 2024

Developed and implemented advanced analytics solutions to support trade and market surveillance, ensuring compliance with regulatory requirements and internal governance standards. Conducted cybersecurity and internal security analytics to identify anomalies, detect potential threats, and strengthen the organization's security posture. Contributed to the design and enhancement of a holistic risk management framework, integrating data-driven insights to improve monitoring, mitigation, and decision-making processes across business and control functions.

Business Analytics | Spring Professional

September 2020 - March 2021

Built and maintained data pipelines, created automated reporting systems, and collaborated with cross-functional teams.

Co-Founder and CTO | NJ Applications and Analytics GmbH

December 2017 - November 2020 (50%)

Led the technical development of data visualization tools to transform complex datasets into intuitive and actionable insights. Designed, implemented, and maintained scalable AWS infrastructure to support data-driven applications. Applied machine learning algorithms and business intelligence analytics to enhance decision-making and optimize operational performance. Developed and maintained backend applications, ensuring seamless integration between data pipelines, analytics frameworks, and visualization platforms.

Quantitative Data Scientist | Quantum Analytics AG

June 2015 - February 2018 and November 2018 - July 2020 (50%)

Developed and maintained business intelligence analytics and reporting solutions to support data-driven decision-making for our customers. Designed and implemented a scalable data science platform to enable efficient model development and deployment. Built and maintained ETL processes to ensure reliable data extraction, transformation, and loading from multiple sources.

Research Experience

Post-Doctorate Fellow | University of Nebraska at the Paul Scherrer Institute (PSI) | February 2009 - December 2013

Led commissioning and maintenance of particle detector systems. Conducted Physics analysis with data collected by the Compact Muon Solenoid (CMS) Collaboration detector at CERN.

Post-Doctorate Fellow | University of Tennessee at CERN | January 2007 - January 2009

Developed and commissioned particle and radiation detector systems.

Ph.D. Research Fellow | Florida State University at Fermilab | June 2003 - June 2006

Commissioned and maintained particle tracking system for the DØ collaboration.

Education

Ph.D. in Physics | Florida State University | 2006

Thesis: "Search for large extra dimensions in the exclusive photon and missing energy channel in proton-anti proton collisions."

B.S. in Engineering Physics | Embry-Riddle University | 1999

Thesis: "Conceptual Manned Mission to Mars"

AI Agent Projects

Innovative solutions leveraging agentic AI and advanced machine learning

AI Instructor Assistant

AI Instructor Assistant

Developed an AI Agent designed to assist instructors in the creation and organization of educational materials, enabling faster and more efficient course preparation and delivery. The system intelligently generates lesson plans, course outlines, and exercise programs, adapting its recommendations to the subject matter, target audience, and instructional goals.

By analyzing existing content, learning objectives, and educational standards, the agent ensures that every resource it produces is coherent, aligned, and pedagogically sound. The result is a powerful instructional companion that reduces preparation time, enhances the quality of educational content, and empowers educators to focus on student engagement and learning outcomes.

Technologies:

Python Scikit-learn OpenAI GradIO GPT Pandas Dash Plotly SQL Cursor
Deep Research Agent

Deep Research Agent

Developed a team of AI Agents designed to autonomously research user-defined topics and generate comprehensive, well-structured reports in Markdown format. Upon receiving a research request, the agents coordinate to gather and analyze information from trusted sources, synthesize key findings, and produce a concise yet thorough report complete with citations, summaries, and relevant insights.

Once the report is generated, the process continues with automated email delivery, sending the finalized Markdown document directly to the user for review or integration into existing workflows. The agents are capable of adapting their research depth and style to different domains — from technical and scientific subjects to market and business intelligence.

Technologies:

Python OpenAI GradIO GPT DeepSeek Groq Claude Gemini Cursor
Financial Advisor and Agent Dashboard

Financial Advisor and Agent Dashboard

An autonomous multi-agent trading platform designed to research markets, analyze opportunities, and execute trades intelligently. The system is led by a manager agent that orchestrates operations across a team of specialized AI agents.

A dedicated research agent gathers market intelligence through web searches and real-time data collection on companies of interest, while four trader agents independently manage and balance their portfolios based on the research provided. Each trading decision and rebalancing action is logged, with push notifications keeping users informed in real time. All agents operate with decision-making autonomy and adaptive learning capabilities.

Technologies:

Python OpenAI GradIO SQLite Plotly Polygon API MCP Huggingface GPT Gemini DeepSeek Groq MailJet Pushover
Document Proofreader Agent

Document Proofreader Agent

AI Agent Team designed to autonomously review and analyze written documents, providing comprehensive and actionable feedback. The system consists of a coordinated group of specialized agents that collaboratively assess a document from multiple perspectives to ensure quality, accuracy, and coherence.

Core functions include grammar and spelling verification, factual validation through source tracing, and semantic consistency checks to confirm that the content aligns with the intended subject matter and context. Beyond simple proofreading, the agents evaluate the logical flow, tone, and structural integrity of the text, identifying potential inconsistencies or gaps in reasoning.

Technologies:

Python OpenAI GradIO Agentic AI MCP GPT Groq Gemini Huggingface

Chat with My AI Twin

Have questions about my work, experience, or projects? Ask my AI twin — an intelligent agent trained on my professional background and expertise.

Get In Touch

Interested in collaborating or discussing data science and AI projects? Let's connect!

Feel free to reach out via email or connect with me on LinkedIn and GitHub. I'm always open to discussing new opportunities, collaborations, or interesting challenges in data science, analytics, and AI.

Email: Jose.Lazo.Flores.1@gmail.com