Data & Business Analyst

I turn complex business
problems into structured,
data-backed solutions.

With a background in Computer Science and Economics, I bring technical depth and business judgment to problems where data, people, and process all matter. Across strategic partnerships, analytics, full-stack tools, and AI projects, my work has focused on turning scattered inputs into usable systems, clearer insights, and decision-ready outputs that improve reporting, reduce manual effort, and help teams act with confidence.

20K+
Records analyzed in production
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01

About Me

Building useful systems has always been my compass, but what matters most to me is the impact behind the system. Whether I'm analyzing patterns across 20K+ records, designing an executive dashboard that turns KPIs into real-time decisions, or building a full-stack workflow tool from schema to deployment, I focus on creating work that helps people understand problems faster, make better decisions, and move processes forward.

Over the past few years, I've worked across data, strategy, and delivery: leading analysis that contributed to a 10% revenue lift, producing executive-ready reports on alumni and employer engagement, and turning scattered information into clear insights for partnership, outreach, and operational decisions. I've also represented my institution at the Harvard × MIT Sloan TechNatSec Conference, engaging with leaders across technology, business, and policy.

What drives me is the space where technical systems meet real organizational needs. I'm at my best when I can take ambiguity, understand the people and process behind it, and turn it into something useful: a cleaner dashboard, a sharper recommendation, a stronger workflow, or a decision a team can trust.

Technical Skills
Python SQL Tableau Power BI React Flask AWS S3 Pandas / NumPy Scikit-learn PostgreSQL Git
What Drives Me
Turning ambiguity into structure
Cross-cultural collaboration
Data-informed storytelling
Building for people, not just users
Data Analytics / Machine Learning / KPI Development / Business Intelligence / Full-Stack Engineering / Stakeholder Reporting / Executive Dashboarding / A/B Testing / Data Analytics / Machine Learning / KPI Development / Business Intelligence / Full-Stack Engineering / Stakeholder Reporting / Executive Dashboarding / A/B Testing /
02

Experience

Student Analyst June 2025 – Present
GSU Robinson College of Business · Atlanta, GA
  • Designed and administered stakeholder surveys using Qualtrics to capture employer and alumni sentiment across programs; performed statistical analysis on response data to surface engagement trends and partnership gaps for Strategic Partnerships leadership.
  • Consolidated and cleaned multi-source qualitative and quantitative datasets into structured outreach trackers and executive summaries, enabling data-driven resource allocation and program planning decisions for senior leadership.
Data & Operations Intern June 2025 – October 2025
The Bespoke Room · Atlanta, GA
  • Performed exploratory data analysis (EDA) and data cleaning on 20K+ customer, sales, and product records using Python (Pandas, NumPy) and SQL; identified demand patterns, pricing inefficiencies, and high-value customer segments that contributed to a 10% revenue lift.
  • Designed and maintained 5+ Tableau and Power BI dashboards tracking retention, funnel conversion, and SKU-level KPIs for marketing and operations leadership; owned the full data pipeline from raw ingestion to business intelligence outputs, improving marketing ROI by 10%.
Technology & Operations Assistant August 2023 – May 2025
Georgia State University · Atlanta, GA
  • Conducted a workflow gap analysis and facilitated end-user requirements-gathering sessions to define specifications for an operational data system; deployed a Flask + MySQL solution replacing a fully manual process, reducing tracking errors by 30% and enabling real-time data visibility across departments.
Data & Operations Intern June 2023 – August 2023
Brahmani River Pellets Ltd. · Remote
  • Consolidated and standardized production and supply chain data from 5+ platforms into centralized reporting models, improving data accuracy by 25% and reducing manual reporting workload by 30%; delivered cost-reduction findings to operations leadership in structured presentation format.
03

Selected Work

PrepareUp · Generating study guide...
GPT-4 · AWS S3 · OAuth2
Full-Stack · AI Product

PrepareUp

One upload generates podcasts, flashcards, quizzes, and a live AI voice tutor simultaneously — replacing four separate study tools with one platform.

An AI-integrated study platform that transforms notes and Discord discussions into personalized learning experiences. Upload your materials or connect a class Discord server and choose your format: podcast, flashcards, mock quiz, or Voice Learning — a live AI tutor grounded in your own notes. Built with OpenAI, React, Flask, and AWS.

React Flask PostgreSQL AWS S3 ChatGPT API OAuth2 EDA
View Project
Client / Item Due Status
Laptop — Rm 401 04/15 Active
Projector — Suite B 04/16 Pending
Camera Kit — Lab 3 04/14 Returned
Tablet Set — Rm 210 04/17 Active
Full-Stack · Operations Tool

Client Assistance & Equipment Loaning Tracker

Replaced manual paper tracking with a structured loan workflow — role-based access for Admin, Staff, and Borrowers with real-time dashboards, approval pipelines, and full audit trails.

A full-stack internal system built for Georgia State University that manages tech equipment loans end-to-end. Covers inventory management, loan request/approval/return workflows, overdue tracking, and Excel/CSV reporting — through a JWT-authenticated, role-aware interface built with React and Node.js/Express.

Flask MySQL REST API HTML/CSS Real-time Updates
View Project
Market Signal Overview
Data / FinTech · Analytics Tool

MarketMind

Distilled complex financial signals into clear, stakeholder-ready insights — built analytics-first, from data ingestion to a visualization layer designed for fast, confident decisions.

A market intelligence tool built to analyze financial signals and surface actionable insights for investment-adjacent decision-making. Designed with an analytics-first architecture — integrating data ingestion, signal processing, and a visualization layer that distills complexity into clear, stakeholder-ready outputs.

Python Pandas SQL Tableau Data Visualization
View Project
Trip Duration Prediction R² ≈ 1.0
3.4M+ records · k-NN · Scikit-learn −70% error vs baseline
Machine Learning · Data Science

NYC Taxi Trip Duration Prediction

Achieved R² near 1.0 and a 70% reduction in prediction error over baseline — trained on 3.4M+ real-world records with a full ML lifecycle from raw ingestion to cross-validated deployment.

End-to-end ML pipeline trained on 3.4M+ records to predict taxi trip duration. Applied cyclical time feature engineering, hyperparameter tuning, and k-NN regression — achieving R² near 1.0 and a 70% reduction in prediction error over baseline. Full lifecycle: raw data ingestion, visual diagnostics, and cross-validated evaluation.

Python Scikit-learn Pandas NumPy Feature Engineering k-NN Regression
View Project
78 / 100
Healthy
Account Health Score
Trust & Diagnosis4 steps
Account Health6 signals
30-60-90 Playbook3 phases
Independent Portfolio · CSM Framework

Technical CSM Playbook

Three connected frameworks for technical infrastructure customer success — issue diagnosis, account health scoring, and a 30-60-90 day ramp plan — built as an interactive learning project.

An independent portfolio playbook exploring how I would support technical infrastructure customers through issue diagnosis, account health monitoring, onboarding, adoption, and value communication. Interactive scorecard with weighted signal inputs, a four-step trust-and-diagnosis loop, and a full 30-60-90 day playbook for ramping thoughtfully into a technical CSM role.

Customer Success Account Health Onboarding & Adoption ROI Communication HTML / CSS / JS
View Project
04

Leadership & Achievements

AI & FinTech Club
AI & FinTech Club · Georgia State University
President

Lead a cross-functional team building AI-driven financial tools, including an ML-based risk model. Organize workshops and industry speaker events bridging AI and finance for 100+ members.

STARS Ignite at Harvard Business School
STARS Ignite · Georgia State University
Secretary

Boosted active membership by 30% through strategic communication and event planning. Represented GSU at the Harvard × MIT Sloan TechNatSec Conference, forging connections with global tech, business, and policy leaders.

Indian Cultural Club
Indian Cultural Club · Georgia State University
Vice President

Three years of student-led cultural programming — growing campus-wide multicultural engagement by 45% for a community of 2,000+ students across flagship events and cross-org initiatives.

Girls Who Code
Girls Who Code
Outreach Coordinator

Drove growth and outreach for Girls Who Code at GSU, supporting a 300+ member community through inclusive programming, networking, volunteer initiatives, and cross-campus outreach that strengthened belonging, retention, and representation for women and non-binary students in tech.

UNICEF at GSU
UNICEF at GSU
Secretary

Led 5+ UNICEF-GSU events, mobilizing 40+ volunteers and engaging 300+ students in initiatives supporting global child welfare. Partnered with UNICEF Georgia and 6+ campus organizations on aligned advocacy campaigns, growing membership by 25%.

Model United Nations at GSU
Model United Nations at GSU
Secretary-General

Led the Georgia State University Model United Nations Conference as Secretary-General, hosting 600+ delegates in a large-scale diplomacy simulation centered on real-world global tensions, policy negotiation, and collaborative problem-solving; represented GSU at the United Nations Headquarters in NYC.

Inside LVMH Certificate
Inside LVMH Certificate
LVMH

Completed the Inside LVMH Certificate with focus areas in Creation & Branding and Operations & Supply Chain, strengthening my understanding of luxury strategy, brand ecosystems, and operational excellence.

Honors & Recognition
🏆 President's & Dean's List All 4 years
📖 Honors Laureate GPA: 3.97

Let's build
something together.

I'm looking for roles where data, engineering, and strategy collide — analytics, product, or full-stack. Available full-time July 2026. If you're building something that matters, let's talk.

Drop a message

Whether it's a role, a project, or just a conversation — I'm all ears.