I'm a passionate Data Analyst dedicated to solving real-world problems through artificial intelligence, predictive analytics, and optimization. I'm a highly organized professional who thrives in teamwork environments and has a strong foundation in mathematics and data analysis.

Currently seeking opportunities to grow professionally in data analytics, where I can apply my skills in problem optimization, data cleaning, leadership, and technological tool management to contribute to business growth.

May 2025 - Present

• Developing medical information management system (EHR) from initial stage
• Researching existing platforms and proposing functional modules
• Collaborating with international volunteer team
• Exploring web frameworks (Next.js) for technology evaluation

August 2024 - Present

• Big data analysis: 8+ databases with 800,000+ records each
• Developing statistical reports and dashboards in Excel and Python
• Automating processes to optimize delivery times
• Supporting schedule management and critical projects

• Built a web platform that connects buyers with vehicles based on real purchasing capacity using financial modeling
• Designed budget calculation logic, filtering, comparison tools, and geolocation features
• Deployed a production-ready application using modern frontend and cloud technologies

• Objective: Complete trading system with predictive models
• Technologies: Python, FastAPI, Machine Learning
• Achievements:
  • Designed custom API for tabular and documentary data storage
  • Implemented predictive models for day trading strategies
  • Integrated predictive models with broker API in scalable backend

• Objective: Accurate travel time prediction in NYC
• Technologies: Python, Pandas, Scikit-learn, Parquet
• Achievements:
  • Pre-processed data in Parquet format for duration calculations
  • Built feature engineering pipeline using DictVectorizer
  • Trained high-accuracy models for travel time prediction

• Objective: Comprehensive analysis of artificial intelligence trends
• Technologies: Python, NLP, Classification Algorithms
• Achievements:
  • Processed 1,000+ specialized articles
  • Extracted linguistic patterns and key themes
  • Implemented automatic classification by relevance and topics
  • Identified emerging trends in AI field

• Algorithms: Random Forest, Neural Networks, Clustering, Classification
• Specialties: Anomaly Detection, Predictive Modeling, Image Classifiers
• Techniques: Feature Engineering, ETL, Time Series Analysis

• Libraries: Matplotlib, Seaborn
• Dashboards: Interactive and real-time

• 🏥 Healthcare Analytics: EMR/EHR Systems
• 🗣️ NLP: Natural Language Processing
• 📊 Mathematical Optimization
• ⚡ Real-time Analysis
• 🗺️ Geospatial Analysis: ArcGIS Pro, GIS

"I combine my passion for discovering meaningful insights with solid technical skills, focusing on the complete analysis cycle: from data cleaning to results visualization."

Key Strengths:

• 🔍 Identifying correlations and hidden patterns
• 🛠️ Error detection and data correction
• 📊 Developing analytical strategies for specific problems
• 🎯 Generating actionable conclusions based on context
• 💡 Deep understanding of data context for meaningful insights

• 📈 Predictive Analytics for business optimization
• 🤖 AI/ML Model Development and deployment
• 🏥 Healthcare Data Systems and EMR/EHR analytics
• 🗺️ Geospatial Analysis for strategic planning
• ⚡ Real-time Data Processing and automation