I'm passionate about leveraging data science and machine learning to solve complex business problems and drive innovation in the retail technology space.

• 🔭 Currently working as a Senior Data Scientist at Walmart Global Tech
• 🌱 Specializing in machine learning, data mining, and knowledge graph applications
• 💡 Experienced in building end-to-end ML solutions for large-scale retail operations
• 🎓 Strong academic background in Data Science with hands-on project experience

Languages & Tools:

• Programming: English Python, SQL
• ML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn
• Data Processing: Pandas, NumPy, Apache Spark
• Visualization: Matplotlib, Seaborn, Plotly
• Cloud & Big Data: AWS, Google Cloud, Hadoop ecosystem
• Version Control: Git, GitHub

Core Competencies:

• 📊 Data Mining & Analysis: Pattern recognition, anomaly detection, predictive modeling
• 🤖 Machine Learning: Classification, regression, clustering, ensemble methods
• 🧠 Deep Learning: Neural networks, CNNs, RNNs, transformers
• 📈 Statistical Analysis: Hypothesis testing, A/B testing, time series analysis
• 🔗 Knowledge Graphs: Graph databases, semantic web technologies, entity resolution

Building a comprehensive knowledge graph for English Premier League data to enhance game prediction accuracy using advanced graph-based ML techniques.

• Tech Stack: Julia, Graph databases, Machine Learning
• Key Features: Entity extraction, relationship mapping, predictive modeling

Comprehensive exploration of data mining algorithms and applications including:

• Association rule mining
• Clustering algorithms
• Recommendation systems
• Large-scale data processing techniques

Implementation of various ML algorithms from scratch and practical applications:

• Supervised learning (SVM, Random Forests, Neural Networks)
• Unsupervised learning (K-means, DBSCAN, PCA)
• Model evaluation and optimization techniques
• Real-world case studies and competitions

Walmart Global Tech - Data Scientist / AI Engineer

• Developing scalable ML solutions for retail optimization
• Implementing advanced analytics for supply chain efficiency
• Building recommendation systems for personalized customer experiences
• Collaborating with cross-functional teams to drive data-driven decision making

• 🔍 Exploring advanced NLP techniques for retail applications
• 📊 Building real-time analytics pipelines
• 🧪 Experimenting with reinforcement learning for dynamic pricing
• 🌟 Contributing to open-source ML projects

• 🏅 Successfully deployed ML models processing millions of transactions daily
• 📚 Completed advanced coursework in Data Mining and Machine Learning
• 🚀 Contributed to significant improvements in operational efficiency through data-driven insights

⚡ Fun fact: I enjoy combining my passion for sports analytics with machine learning, as seen in my EPL prediction project!

📫 How to reach me: Feel free to connect on LinkedIn or explore my repositories to see my work in action!