Data Analyst | Product Manager

Analytics → Insights → Roadmaps → Experiments → UX.

Projects About
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Projects
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Datasets & Pipelines
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Experiments
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Dashboards

About Me

I’m a data-minded builder on a path toward Product Management. I completed an Honors B.S. in Computer Science (Dec 2024) with a minor in Business Administration. I’ve worked on AI & data products at Veel (Business Analyst → Product Manager) and I’m currently a Technical Writer at Proventus Analytics on RentMatrix. My sweet spot: turning analysis into decisions—roadmaps, experiments, and UX that move the metrics that matter.

AI + data products
Roadmaps & experiments
Metrics-driven UX
Download Resume See experience

Leadership & Involvement

  1. President Nepalese Students Association · UTA 2024–2025
  2. Engineering Fellow Headstarter AI · 7-week program 2024
  3. NAESC Coordinator Central Region Communications 2023–2024
  4. Vice-President Engineering Students’ Council · UTA 2023–2024
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Projects

Project screenshot
Housing Price Prediction
  1. ML · Regression
    Housing Price Prediction

    Predicts sale price from home features using regression.

    • Focus: Accurate, explainable pricing with key feature drivers.
    • Method: scikit-learn pipeline, OLS/Ridge/Lasso, one-hot + scaling, k-fold CV.
    • Deliverable:Notebook, trained model, RMSE/MAE report, feature-importance plots
    PythonpandasMultiple-linear-regressionEDA
    GitHub
  2. SQL · Case Study
    Global Layoffs — SQL Analysis

    Data cleaning and analysis over layoff trends using CTEs, window functions, and aggregations.

    • Focus: Validate, aggregate, and track layoffs across industries, and location.
    • Method: SQL (CTEs, partitions, ranking)
    • Deliverable:Reusable views/queries and dashboard-ready summary tables.
    SQLCTEsWindow FunctionsData Cleaning
    GitHub
  3. Full Stack
    Surgical Equipments Tracking System

    Tracks surgical instrument inventory and usage with RFID.

    • Focus: End-to-end instrument tracking with live set verification, stock alerts, and searchable history.
    • Method: Tailwind UI, Node/Express API, MySQL, Auth0, WebSockets, RFID.
    • Deliverable: End-to-end portal with role-based access, real-time status views, and audit trail downloads.
    Next.jsNode.jsMySQL
    GitHub
  4. Chrome Extension
    Currency Converter

    Chrome extension for quick currency conversion with live rates.

    • Focus:One-click conversion, precise rounding, fast lightweight UI.
    • Method: MV3 popup, cache rates from an API, save user defaults.
    • Deliverable: Installable extension, easy setup/usage README.
    ExtMV3JavaScript
    GitHub
  5. EDA · Viz
    Job Market Trend Analysis

    Exploratory analysis of job postings & skills demand with clear visuals.

    • Focus: Roles, skills, trends over time
    • Method: pandas, visualization, numpy, Jobspy
    • Deliverable: Insightful plots & summaries
    PythonPandasVisualization
    GitHub

Experience

Software Engineer · Proventus Analytics
Aug 2025 – Present
  • Documenting RentMatrix product features and APIs for client onboarding.
  • Implementing features that improve workflow efficiency and data integrity for rental management operations.
  • Contributing to the development of RentMatrix, a SAAS platform for rental property management, enabling automated lease tracking, payment processing, and tenant communication.
Product Manager/ Data Analyst · Veel
Dec 2024 – Aug 2025
  • LConverted user behavior analysis into detailed tracking specs, documenting event names, parameters, and workflows to ensure accurate data collection and feature measurement.
  • Defined and aligned data collection requirements across frontend, backend, and QA teams; validated implementation to maintain data integrity.
  • Conducted QA and backend data validation, verifying event accuracy and documenting issues for iteration based on user testing and feedback.
  • Delivered dashboards and insights that guided cross-functional teams and informed data-driven decisions for the SaaS video marketing platform.
Business Data Analyst Intern · Veel
Oct 2024 – Dec 2024
  • Integrated and analyzed product event data using PostHog and GTM to track user flows, identify friction points, and support data-driven platform optimization.
  • Delivered data insights to product and leadership teams, influencing prioritization of features that improved collaboration efficiency and user retention.
  • Built technical reports and dashboard using Tableau and SQL; documented schemas, tracking logic, and analytical findings to support roadmap planning and feature validation.
Math Tutor · University of Texas at Arlington
Aug 2022 – May 2024
  • Tutored 125+ students in Algebra and Calculus, raising progress rates by 20%.
  • Adjusted teaching methods based on assessments and feedback.
  • Helped students build strong problem-solving foundations.

Let's Get In Touch!

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© 2025 Rachana Pandey — All rights reserved.