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- Developed Python scripts for financial data analysis
- Developed Automated Bill Assignment System in Python
- Extracted and Structured Mercado Pago Transaction Data
- Compiled CSV data for financial analysis
- Compiled multi-year financial data into Excel format
- Processed and Organized Financial CSV Data
- Processed Galicia and Mercado Pago transactions
- Processed Financial Data with Pandas for Monthly Analysis
- Automated Integration of Google Sheets and Trello
- Innovative Economic Theory and Data Processing Enhancements
- Developed and Optimized Task Scheduling System
- Organized food inventory and developed meal plans
- Comprehensive Financial Analysis and Planning
- Classified and Analyzed Professional Contacts
- Structured Project and Task Prioritization Session
- Automated Financial Management and Grocery Inventory
- Compiled thematic and sprint summaries for April
- Strategic Job Market and Email Communication Analysis
- Optimized Job Application and Data Management Strategy
- Developed Modular Financial Analysis Reports
- Structured Excel for Accounting Control
- Enhanced CRM and Marketplace Communication Strategies
- Structured Real Estate Visit and Lead Management
- Developed Strategies for Content and Automation Projects
- Enhanced Lead Qualification and API Handling
- Explored Google Maps API for Business Ideation
- Enhanced Contact Management with CSV and Ontology
- Strategic Networking and Contact Optimization
- Comprehensive Analysis of Group Dynamics and Political Strategies
- Conducted qualitative analysis of political group dynamics
- Developed LinkedIn Networking and Outreach Strategies
- Developed Accounting Automation and Data Quality Tools
- Reviewed and Planned CRM MVP Sprint
- Normalized Contact Taxonomy and Strategic Networking
- Developed contact management and prioritization system
- CSV
- Developed Documentation and Automation for EPH Repository
- Processed and Visualized Argentina's Basic Basket Data
- Developed Python scripts for BibTeX data processing
- Developed scripts for data processing and file management
- Enhanced Data Processing Techniques with Pandas
- Optimized Python Scripts for Data Parsing
- Processed GEO data and configured VS Code settings
- Enhanced Python scripting techniques and file handling
- Optimized Census Data Processing with Dask and Pandas
- Enhanced CSV data processing and file management
- Enhanced Data Processing and Analysis Techniques
- Enhanced Python Data Serialization and Processing Techniques
- Enhanced Data Processing and Visualization in Python
- Geospatial Data Analysis and Troubleshooting Session
- Refactored Python Script for Jupyter I/O Extraction
- Developed Data Analysis and Visualization Functions
- Developed and Enhanced Python Data Analysis Functions
- Enhanced World Bank Data Processing Workflow
- Enhanced Data Visualization and Food Data Processing
- Analyzed World Bank project data for job investments
- Enhanced Data Processing and Visualization in Python
- Implemented Dynamic File Path Management in Python
- Developed data visualizations for project analysis
- Converted Jupyter Notebooks and Data Processing Scripts
- Configured R environment in Visual Studio Code
- Integrated Google Colab with Visual Studio Code
- Explored Functional Dependencies and BCNF Decomposition
- Developed Python utilities for data file management
- Reviewed and Enhanced R Data Processing Scripts
- Processed Afrobarometer and Chinese projects data
- Developed Election Database Schema and Data Processing Scripts
- Refactored Geospatial Data Processing Scripts and Project Planning
- Resolved DataFrame and PDF conversion errors
- Enhanced Data Processing and Visualization with Python
- Optimized Disk Space and DataFrame Operations
- Developed Python scripts for radio schedule management
- Developed DBML schemas and data manipulation scripts
- Enhanced Python DataFrame ID Generation and Saving
- Refactored and Automated Poverty Data Analysis
- Optimized JavaScript and Data Processing Techniques
- Implemented data merging and database transition strategies
- Enhanced Data Visualization for Execution Time Analysis
- Implemented Mapbox API Style Deletion and Color Management
- Updated Mapbox style IDs and resolved JS errors
- Analyzed R Markdown for CSV file paths
- Debugged NaN values in Afrobarometer data
- Structured Documentation for Violence Data Datasets
- Resolved Key Errors and Documented Datasets
- Collaborative Dataset Merging and XML Parsing
- Data aggregation and cleaning for financial datasets
- Developed methods for handling and merging datasets
- Standardized and Merged Datasets by Country and Year
- Streamlined Data Analysis and Visualization Workflow
- Developed Electoral Data Analysis Framework
- Enhanced Time Series Data Visualization in Python
- Implemented NLP techniques for semantic analysis
- Refactored Python scripts for data processing
- Resolved Parquet File Handling RuntimeError in Python
- Debugged NaN Values in Backtrader Residuals
- Debugging Data Feed Issues in Backtrader Strategies
- Enhanced OLS Diagnostic and Residual Visualization
- Resolved data loading issues in Backtrader
- Resolved MySQL database connection and import issues
- Configured and Tested Flask Application with Google OAuth
- Developed dynamic HTML template for educational platform
- Developed Web Scraping Techniques for Dynamic Pages
- Implementing and Troubleshooting Model Pipelines
- Enhanced Flask API with MLflow integration
- Integrated Economic Data with GitHub Pages
- Enhanced AI-driven book processing pipeline
- Automated Google Search Script for Profile Links
- Integrated Proxies into Tornado and Google Search Scripts
- Implemented OCR for Grocery Store Tickets
- Enhanced Python Functions for Data Processing
- Developed web scraper for Buenos Aires norms
- Developed Python scripts for data grouping and markdown
- Enhanced Scrapy Spider for Categorized Products
- Debugged and Enhanced Scrapy Spider for Data Collection
- Debugged JavaScript map and CSV integration
- Reviving and Upgrading Map App Project
- Enhanced Schema Key Mapping and AI API Integration
- Enhanced Smart Monitoring and Message Processing Systems
- Developed Database Structure and Resolved Python Dependencies
- Enhanced Multi-Day Task Scheduling with OR-Tools
- Enhanced Dynamic Task Scheduling with Python
- Enhanced Task Scheduling with OR-Tools
- Enhanced Precios Claros Scraping Pipeline
- Streamlined ETL and DHS Data Handling
- Enhanced OCR and PDF Data Processing Workflow
- Enhanced Next.js MDX Integration with RepoCards
- Structured OCR data into CSV for financial records
- Developed Scripts for HTML Data Parsing and Extraction
- Refactored HTML contact extraction with Python
- Implemented FAISS for efficient embedding storage
- Developed AI Workflow for Book Generation
- Developed Embeddings Analysis Pipeline with UMAP and Plotly
- Implemented BigQuery Table and Troubleshooting Workflow
- Automated Google Drive Management and CSV Export
- Optimized Document Management and AI Integration
- Developed AI-driven content creation workflows
- Optimized JSON Payload and File Recovery Techniques
- Resolved JSON and API Integration Issues
- Resolved database and module errors in Python
- Enhanced Transaction Data Extraction and Cleaning
- Explored Data Analysis Techniques with Pandas
- Developed Modular Architecture and Product Strategy
- Optimized Asynchronous Data Extraction Pipeline
- Refactored and Enhanced Flask Application Architecture
- Refactored and Enhanced Course Management System
- Decoded and Analyzed .rbfx File Structures
- Developed Educational Pre-registration System
- Explored REDATAM File Structures and Decoding Techniques
- Developed Modular Data Processing Pipeline
- Refactored Google Calendar Integration and Error Handling
- Implemented and tested data pipeline automation
- Refactored data pipeline and script updates
- Implemented and Optimized Web Scraping and Data Export
- Developed Advanced Financial Data Visualizations
- Developed Financial Data Analysis and Visualization Scripts
- Developed Editorial Workflow and AzureML Pipelines
- Enhanced Data Processing and Digest Generation
- Enhanced Selenium Web Scraping Techniques
- Implementation and Evaluation of AI Clustering
- Refactored and Improved Data Processing Pipeline
- Enhanced Python Daemon for Digest Processing
- Refactored Filename Logic in Python Scripts
- Enhanced RSS Data Processing and Debugging
- Resolved Data Merging and Processing Issues
- Comprehensive ETL Pipeline and Automation Execution
- Developed and Refined CSV Data Processing Pipelines
- Enhanced Data Processing for Erste Transactions
- Processed CSV data using Pandas for transaction analysis
- Developed and Debugged Automation Scripts for Pipelines
- Enhanced Data Processing and SERP Scraper Refactor
- Refactored Data Processing Pipeline and Integrated Scraper
- Refactored Job Search Automation Pipeline
- Developed CSV to JSONL conversion with web scraping
- Developed Clustering Techniques and Job Application Strategy
- Automated YouTube Video Data Backfill and Markdown Generation
- Enhanced CSV Script and YouTube Data Integration
- Consolidated and Exported Socioeconomic Data to CSV
- Structured MDX and Bash Automation for Pocket Tools
- Enhanced Places API and Data Handling Techniques
- Implemented Google-Places Lead Generation Stack
- Developed and Enhanced Terminal History Management Tools
- Enhanced Data Pipeline with Pandas and Promptflow
- Developed DBF to CSV extraction and CLI tool
- Implemented DBF to CSV Extraction in Python
- Enhanced DBF to CSV and INDEC Data Extraction
- Resolved ZIP extraction error and improved Git workflow
- Graph Analysis and Community Detection Enhancement
- Enhanced Digest Management and Graph Analysis
- Developed YAML-based data profiling and validation
- Developed Modular Automation and Task Management Systems
- Developed and Enhanced Telegram Bot Features
- Enhanced Observability and Debugging in Python Scripts
- Enhanced PINGBOT and Task Management Automation
- Developed Python pipeline for social media data export
- Resolved ADB and WhatsApp Data Extraction Issues
- Developed Email Normalization and Reporting Scripts
- Developed and Patched Data Normalization Scripts
- Enhanced Leaflet map with Supercluster integration
- Enhanced Instagram Data Parsing and QA
- Enhanced Instagram Data Processing and Pipeline Management
- Refactored and Enhanced Instagram Data Pipeline
- Automated Downloads Cleanup and Data Analysis
- Implemented and Enhanced File Triage System
- Implemented and Integrated File Scanning Automation
- Comprehensive Analysis of LZMA and Data Patterns
- Enhanced Makefile for Multi-Channel Data Management
- Enhanced email and WhatsApp data processing pipelines
- Enhanced Data Integrity in Electoral CSV Files
- Enhanced Election Data Pipeline with Logging
- Enhanced elecciones-ARG data pipeline with robust Makefile
- Enhancements to Data Processing and Normalization Scripts
- Developed and Validated Electoral Data Retrieval Pipeline
- Enhanced Automation and Data Processing Workflows
- Optimized 2025 Election Data Pipeline and Automation Tasks
- Automated Data Processing and CSV Management
- Enhanced CSV Ledger Transformation and Reconciliation
- Resolved integration issues between FastAPI and Next.js
- Refactored and Automated Accounting ETL Pipeline
- Automated Review and Correction of Legal Case Summaries
- Developed automated shift scheduling templates
- Developed CLI and Makefile for Accounting Pipeline
- Developed Python scripts for file inspection and analysis
- Executed comprehensive data and automation workflows
- Integrated Hugging Face dataset for performance analysis
- Temporal Analysis of News Articles and Automation Design
- Enhanced Article Scraping and Data Enrichment
- Strategic Planning for Academic Publication in Economics
- Strategic Planning for Data Science Department
- Developed AI Task Prioritization and Course Automation
- Implemented BigQuery and PostgreSQL data management
- Analyzed Feedback Discrepancies and EDA for Groups
- Refined Grading Rubric for Data Analysis Projects
- Completed Multiclass Classification Evaluations for Student Groups
- Comprehensive Evaluation of Code and Reproducibility
- Evaluated Group Reports and Binary Classification
- Structured Research Lab and Drive Organization