Developing solutions at the intersection of design and data

Projects

Explore projects that bridge the gap between design and data. From identifying insights to creating actionable strategies, I focus on crafting solutions that drive user-centered impact

Reddit Classification Model

  • Developed a machine learning pipeline to classify posts from r/personalfinance and r/investing with high accuracy, leveraging NLP techniques like TF-IDF vectorization and logistic regression. Enabled identification of distinct user groups to inform data-driven marketing strategies.

Sentiment Analysis of User Reviews

  • Conducted sentiment analysis on iOS app reviews using natural language processing techniques, including text preprocessing, tokenization, and sentiment scoring. Delivered actionable insights to guide product feature enhancements and user experience improvements.

Stocks and Portfolios

  • Built predictive models using regression and time-series analysis to forecast stock performance and optimize portfolio allocation. Utilized financial metrics and market trends to enable data-driven investment strategies.

Skills

Data-Driven Decision Making

  • Extract actionable insights from raw data to inform strategic decisions.

  • Leverage advanced statistical methods and BI tools to identify trends and predict outcomes.

  • Optimize business performance through data-backed recommendations.

User-Centered Design

  • Design intuitive, accessible, and engaging user experiences.

  • Apply design thinking to empathize with users, define problems, and prototype real-world solutions.

  • Leverage user feedback and testing data to refine products, ensuring user needs align with business objectives.

Data Visualization

  • Convert complex datasets into intuitive, stakeholder-focused visual narratives.

  • Develop interactive dashboards and reports that enhance data accessibility and usability.

  • Integrate design and analytics to empower data-driven decisions with clarity and precision.

ML & Predictive Analysis

  • Build and deploy machine learning models for classification, regression, clustering, and deep learning.

  • Optimize models with feature engineering, hyperparameter tuning, and performance evaluation.

  • Apply ensemble methods, NLP, and time-series analysis to uncover patterns and forecast trends.

Product Strategy

  • Integrate design and data to create functional, visually impactful products.

  • Leverage data insights to inform user-focused design solutions.

  • Align product strategy with user feedback and market trends to achieve business goals.

  • Blend design and analytics seamlessly across product development stages.

Data-Driven UX Research

  • Integrate quantitative analysis and qualitative research to inform user experience design.

  • Analyze user behavior and feedback to identify improvements and innovation opportunities.

  • Design products that enhance user satisfaction, driving engagement and conversion rates.