3. Data, Science & AI

Generates and edits images using OpenAI's GPT Image 1.5 model, supporting text-to-image creation and mask-based modifications.

Generates and edits images using Google's Gemini 3 Pro Image API with text-to-image and image-to-image editing support.

Transforms user inputs into optimized prompts for AI models, improving response relevance and quality through structured prompt engineering.

Processes PDF documents using Google Gemini API to extract text, images, diagrams, charts, and tables for structured data and summarization.

Comprehensive guide for MongoDB implementation including schema design, CRUD operations, aggregation pipelines, indexing, and security configuration for data management.

Analyzes video content using Google's Gemini API, providing descriptions, transcriptions, timestamp references, and YouTube URL processing with multi-model support.

Comprehensive guide for using PostgreSQL's psql terminal client to manage databases, execute queries, and administer PostgreSQL systems.

Guide for implementing Google Gemini API's image generation using gemini-2.5-flash-image model, supporting text-to-image creation and editing.

Packages entire repositories into AI-friendly files for efficient code analysis, LLM context generation, and security audits.

Guides implementation of Google Gemini API for image analysis, including captioning, object detection, and visual question answering.

Enables audio processing via Google Gemini API including transcription, summarization, and natural speech generation.

Transcribes video audio to text with word-level timestamps using WhisperX, outputting structured JSON transcripts.

Guarantees structured JSON outputs from Claude models via Bedrock's tool_use, eliminating parsing errors through typed schemas.

Fine-tunes vision-language models using Group Relative Policy Optimization (GRPO) for improved performance on small datasets where standard SFT fails.

Enables asynchronous inference with AWS SageMaker and S3 storage for large-scale, long-running AI model predictions.

Comprehensive AB test analysis tool providing statistical significance testing, user segmentation, and visual reporting for product, marketing, and feature optimization decisions.

Predicts customer lifetime value (LTV) using RFM feature engineering and regression modeling on transaction data for e-commerce and retail.

Performs multi-touch attribution analysis using Markov chains and Shapley values to optimize marketing channel effectiveness, budget allocation, and customer journey insights with Chinese language support.

Analyzes user conversion funnels to calculate step-by-step rates, visualize user journeys, and identify optimization opportunities for improved conversion.

Automates RFM customer segmentation analysis with K-means clustering and visualization for e-commerce data.

Analyzes text content using NLP and LLM to extract sentiment, topics, keywords, and insights from social media, articles, and reviews.

Analyzes user retention and churn using survival analysis, cohort analysis, and machine learning to predict churn risk and optimize retention strategies.

Provides ML-driven growth analysis with uplift modeling, user segmentation, and ROI optimization for marketing and product teams.

Automates data exploration, visualization, and report generation with intelligent diagnostics for medical, financial, and e-commerce analysis.