Tools and Technologies

This page presents a curated selection of technologies, platforms, and digital tools that support my work in finance, strategy, and product development. The categories align with core practice areas such as financial modeling, algorithmic trading, web development, and AI integration while showing how each tool contributes to clear outcomes. Whether you are a developer, researcher, or finance professional, this overview is intended to inform, inspire, and highlight practical applications.

Productivity and Organization

Note-taking

Capture structured lecture notes, research excerpts, and project specs with backlinks, templates, and spaced review so ideas compound over time. Synchronize across devices, embed PDFs and spreadsheets, and maintain a single source of truth for coursework and projects. Tools: Notion, Obsidian, OneNote, Evernote, Apple Notes, Nimbus Note, Readwise Reader.

Task management

Translate goals into weekly plans with priorities, deadlines, recurring tasks, and Kanban boards. Automate reminders, attach references, and track outcomes to improve execution discipline across classes, research, and ventures. Tools: Todoist, Trello, ClickUp, Asana, Things, Microsoft To Do, Notion Projects, Monday.com.

Research and Data Access

Academic databases

Find peer-reviewed papers, working drafts, and citations to ground empirical work and literature reviews. Track authors, save searches, and export citations cleanly to your reference manager. Tools: Google Scholar, JSTOR, SSRN, ProQuest, arXiv, NBER.

Financial databases

Access macroeconomic time series, market quotes, and institutional datasets for models and dashboards. Favor transparent methodologies and reproducible downloads via bulk APIs. Tools: FRED, IMF Data, World Bank Open Data, OECD Data, Eurostat, Refinitiv Eikon, S and P Capital IQ, Morningstar Direct.

Quantitative and Analytical Tools

Spreadsheet and modeling

Prototype models fast with flexible spreadsheets, scenario switches, and sensitivity tables. Build clean assumptions tabs, audit trails, and charts suitable for presentations before porting to code. Tools: Excel, Google Sheets, Power Query, Power Pivot, LibreOffice Calc.

Statistical and econometric tools

Estimate, test, and visualize models for inference and forecasting with reproducible scripts and literate notebooks. Leverage panel methods, time series, and Bayesian workflows where appropriate. Tools: R, Stata, EViews, Python (pandas, statsmodels), Julia, SAS, SPSS.

Learning and Knowledge Enhancement

MOOCs

Advance core skills in finance, data, and programming through structured courses, graded exercises, and certificates that map to hiring signals. Tools: Coursera, edX, MIT OpenCourseWare, Udacity, DataCamp.

Finance-specific learning

Deepen domain expertise with exam prep, primers, and practitioner guides spanning valuation, risk, and markets. Tools: CFA Institute resources, Investopedia, Wall Street Prep, Corporate Finance Institute.

Collaboration and Communication

Document sharing

Store, version, and co-edit coursework, datasets, and decks with granular permissions and recovery options. Tools: Google Drive, Dropbox, OneDrive, Box.

Messaging and video calls

Coordinate group projects and office hours with persistent chat, channels, and reliable video; search archives to capture decisions. Tools: Slack, Zoom, Microsoft Teams, Discord, Google Meet.

Career and Networking

LinkedIn

Build a credible profile with projects, publications, and evidence of impact; cultivate a targeted network and publish insights that signal expertise. Tools: LinkedIn, LinkedIn Creator tools.

Job and internship boards

Discover relevant roles, set alerts, and track applications with saved searches and company lists tailored to your interests. Tools: eFinancialCareers, LinkedIn Jobs, Handshake, Indeed.

Creativity and Presentation

Slide design

Produce polished decks with consistent layouts, typography, and brand elements; reuse components and export presenter notes. Tools: Canva, Beautiful.ai, PowerPoint, Google Slides, Keynote.

Infographics

Translate complex data into clear, persuasive visuals and posters; maintain brand colors and iconography across assets. Tools: Venngage, Visme, Adobe Illustrator, Affinity Designer.

Programming and Deployment

Languages and frameworks

Build data pipelines, analytical services, and secure web backends with strong typing where helpful and batteries-included frameworks for speed. Use lean microservices or monoliths depending on scope, and prefer literate notebooks early in research. Tools: Python, R, TypeScript, Node.js, FastAPI, Django, Flask, Spring Boot, Next.js.

Data and ML stack

Clean, transform, and model datasets for forecasting, risk scoring, anomaly detection, and optimization with reproducible experiments and tracked metrics. Start simple, benchmark baselines, and only then scale features and models. Tools: NumPy, pandas, scikit-learn, PyTorch, XGBoost, LightGBM, statsmodels, MLflow.

The recommendations and references to software, tools, and other resources provided herein are for informational purposes only. While I strive to ensure accuracy and relevance, I do not assume any responsibility or liability for any outcomes resulting from the use or implementation of these recommendations. Users are advised to exercise their own judgment, conduct due diligence, and comply with applicable laws and regulations when utilizing any recommended products or services.
Last updated: October 2025