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.
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.
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.
Python and Pandas analysis of Amazon pricing data with data cleaning, discount calculations, and category-level findings.
Statistical analysis of computer pricing dynamics using Python, Pandas, and advanced analytics. Identifying key price drivers for business optimization.
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.
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
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.
An analysis of New York City Airbnb data using geospatial and statistical methods, incorporating cost-effectiveness and data-driven techniques to deliver customized choices
Analyzed refurbished iPhone pricing data across 19 Amazon marketplaces using Python, Pandas, and Power BI to uncover pricing trends, storage-wise variations, condition-based pricing, and country-level market insights.
This project presents analytical view of Indian domestic airline flights, covering pricing trends, booking behavior, class distribution, city-wise connections, and timing analysis. The dashboard is built using Microsoft Power BI, leveraging interactive visuals to help understand customer patterns, flight pricing strategies, and operational insights
Rbauction auction market intelligence
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.
“Analyzed hotel pricing data to find which discounts increase bookings and built models to optimize discount strategy.”
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