AI agent skills for startup validation, competitive intelligence, and planning

Next-gen Shopee Data API built for high-volume enterprise needs. Access real-time regional market intelligence through our robust, zero-downtime infrastructure. Optimized for speed and flexibility, we provide the most reliable data solution for large-scale e-commerce operations.

Business-focused analysis of discount strategy using Python and Power BI

Delivery fee analysis tool using Playwright browser automation and distance sampling. Measures how delivery fees change with distance across postal codes.

Data Analytics project using Tableau to analyze Amazon product pricing patterns, discount trends, and customer rating distribution. Built interactive dashboards with KPIs, filters, and visual insights for business decision-making.

Build SaaS products using an 8-phase AI agent pipeline with mandatory approval gates for Antigravity, Claude Code, and Codex.

Analyzing 300K Indian airline ticket records to uncover pricing patterns, booking trends and route economics using MySQL

Advanced SQL project analyzing 980 smartphones across 46 brands using CTEs, Window Functions, Ranking, Segmentation, and Business Intelligence techniques.

Real-world business case studies using data to support decision-making across sales, marketing, operations, and strategy.

A data repository tracking global exchange rates, taxation impacts, and price fluctuations for Genshin Impact and PUBG Mobile in-game currencies (2026 dataset).

Comprehensive ASUS tech products analysis: market dynamics, product performance & pricing sentiment with Power BI dashboards and 50+ SQL queries

Statistical analysis of computer pricing dynamics using Python, Pandas, and advanced analytics. Identifying key price drivers for business optimization.

Python tool for scraping fashion e-commerce products, collecting pricing data, and generating market research insights for competitor analysis.

Python EDA on Airbnb listing data to analyze pricing trends, location performance, availability patterns, and host behavior using Pandas and Matplotlib.

An analysis of New York City Airbnb data using geospatial and statistical methods, incorporating cost-effectiveness and data-driven techniques to deliver customized choices

Python pricing analysis lab for comparing model-derived values, observed values, and deviation thresholds for decision support workflows.

Analyze product pricing trends across categories and brands using SQL and Python. Explore pricing distributions, top products, and market insights with visualizations in Jupyter Notebook.

Dashboard exploring Seattle 2016 Airbnb pricing: price by bedroom, ZIP-level variation, and monthly revenue trends.

This project performs an end-to-end Exploratory Data Analysis (EDA) on an Amazon products dataset to uncover insights related to pricing, discounts, customer ratings, and review behavior. The analysis focuses on understanding rating reliability, discount strategies, and customer trust using real-world data and visual storytelling.

A data-driven analysis of the Used Cars Market focusing on pricing trends, customer preferences, and market insights. This project explores factors influencing used car prices and demand using data analysis and exploratory techniques.