Aiden Ahmet Erdogan
Looking for new adventures and challenges!
A seasoned Senior Data Scientist and Machine Learning Engineer, with 5+ years of expertise in advanced text and statistical analytics, ML, statistical modeling, and NLP applications. Skilled in extracting insights from complex datasets to drive data-driven decision-making. Proficient in programming languages like Python, SQL, and Java and tools like GCP, and AWS. Exceptional problem-solver, adept at teamwork, and effective communication skills.
Seeking a role as a Machine Learning Engineer, Data Scientist, Data Engineer, or Data Analyst. -
- Open to Relocate (in Germany)
## Skills Summary
# Technical Proficiency
- Programming Languages and Frameworks: Advanced proficiency in Python, Flask, and Java for full-stack Machine Learning development.
- AI/ML Technologies: Hands-on experience applying classification, regression, clustering, deep learning, image processing, and NLP techniques to solve real-world problems.
- Libraries: Expertise in NumPy, Pandas, PySpark, TensorFlow, Keras, PyTorch, sci-kit-learn, OpenCV, SciPy, SpaCy, Matplotlib, Seaborn, and Plotly for data exploration, modeling, and visualizations.
- Cloud Technologies: Extensive experience architecting and deploying end-to-end data science solutions on AWS (SageMaker, EC2, Lambda, S3) and GCP (Vertex AI, Compute&App Engine) platforms.
- Databases: In-depth working knowledge of SQL, MySQL, PostgreSQL, BigQuery, MongoDB, and Spark for efficient data storage, manipulation, and querying large datasets.
- Data Science and Misc. Technologies: Hands-on with generative AI, large language models, mathematics, time series analysis, recommendation engines, NLP applications, and Jupyter Notebook.
- Deployment/MLOps: Expertise using MLFlow, Airflow, FlaskAPI, TensorBoard, CI/CD, and Agile methodologies for robust model operationalization.
# Soft Skills
- Communication: Strong presentation skills to report influential findings to technical and non-technical stakeholders.
- Problem-Solving: Critical thinking and analytics to address challenging problems methodically.
- Collaboration: Proven team player with the ability to build consensus and achieve group objectives.
- Business Acumen: Track record of strategic business recommendations by translating complex analytics into actionable insights.
Continuous Learning and Adaptability
- Innovation Mindset: Passion for self-improvement and hands-on experience with emerging technologies.
# Ethics & Compliance
- Data Privacy: Knowledge of data privacy, ownership, and ethical use as per regulatory standards like GDPR, and CCPA.
- Compliance: Understanding of legal frameworks to ensure projects meet quality and security compliances.
REVIEWS FROM CLIENTS
Achievements/Tasks
- Developed an industry generation system with PEFT LLM Llama & GCP, achieving over 10% accuracy incre...
Achievements/Tasks
- Developed an industry generation system with PEFT LLM Llama & GCP, achieving over 10% accuracy increase in ML matching models. This resulted in 15% fewer matching errors, boosting customer satisfaction & business outcomes.
- Enhanced ML solutions for entities with feature engineering and hyperparameter optimization, achieving 90% accuracy. Resulted in over 5% better ranking and recommendations, elevating customer satisfaction, and user engagement.
- Elevated data quality by a substantial 80% through spearheading the extraction and meticulous cleansing of entity data from a diverse array of 30+ sources, employing source’s APIs, Scrapy framework, and GCP tools.
- Boosted operational efficiency by saving 3 h/week in deployment time and 2 h/week in team collaboration through streamlining deployment processes, and implementing automated predictions and updates in Slack integration.
- Achieved a substantial 35% ($32+K) reduction in monthly cloud expenditure through the strategic optimization of virtual machines, pre-existing machine learning models, and storage utilization.
Skills: Data Engineering · Predictive Analytics · Natural Language Processing (NLP) · Deep Learning · PySpark · NLTK · Prompt Engineering · TensorFlow · REST APIs · Google Cloud Platform (GCP) · Data Science · Business Understanding · Pandas (Software) · Data Analysis · Predictive Modeling · Hadoop · Communication · Large Language Models (LLM) · Machine Learning · Data Analytics · Scikit-Learn · Problem Solving · Python (Programming Language) · Elasticsearch · Exploratory Data Analysis · Artificial Intelligence (AI) · Amazon Web Services (AWS) · Feature Engineering · Agile Methodologies · Agile & Waterfall Methodologies · A/B Testing
Achievements/Tasks
- Optimized regional sales data, achieving a 10% reduction in prediction model error by fine-tuning Linear...
Achievements/Tasks
- Optimized regional sales data, achieving a 10% reduction in prediction model error by fine-tuning Linear Regression and XGBoost algorithms. Resulted in a $150K increase in quarterly revenue, enhancing decision-making and profitability.
- Pioneered a dress combination recommendation system, catalyzing a 5% surge in sales and generating additional revenue by leveraging the Clustering method and deploying on AWS.
- Developed a targeted customer segmentation model with 120 types, enhancing understanding and marketing strategies. Real-time implementation led to a 30% increase in campaign response rates, boosting sales and customer engagement.
- Engineered a state-of-the-art Neural Machine Translation system for the DeFacto websites, achieving a remarkable 95% increase in translation accuracy, while reducing over $5K monthly expense in manual translation.
Skills: Business Understanding · REST APIs · Agile Methodologies · Amazon Web Services (AWS) · Communication · Prompt Engineering · Data Science · Data Engineering · Python (Programming Language) · SQL · Machine Learning · Artificial Intelligence (AI) · MLOps · Microservices · Extract, Transform, Load (ETL) · Flask · Agile & Waterfall Methodologies · Data Analysis · Statistics · Elasticsearch · Predictive Modeling · Pandas (Software) · Data Analytics · Customer Relationship Management (CRM) · Big Data · PySpark · Apache Kafka · Hadoop · Natural Language Processing (NLP) · Exploratory Data Analysis · Google Cloud Platform (GCP) · Hypothesis Testing
Achievements/Tasks
- Obtained $300 investment from foundations by making the chatbot multipurpose, developing a dialog engine...
Achievements/Tasks
- Obtained $300 investment from foundations by making the chatbot multipurpose, developing a dialog engine, and real-time analysis dashboard. Resulted in 20% higher client engagement and 15% lower customer support costs.
- Decreased Conditional Random Field (CRF) based interactive NLP chatbot’s response time from 10+ seconds to under 3 seconds by rewriting existing Java code with best practices using Python and updating algorithms.
- Enhanced a Google BERT-based NLP auto-labeling model, raising accuracy by 85% using TensorFlow. Reduced labeling errors by 25%, saving 5 h/week, optimizing workflows, and leading to significant cost savings.
Skills: Business Understanding · REST APIs · Agile Methodologies · Amazon Web Services (AWS) · Communication · Data Science · Data Engineering · Python (Programming Language) · SQL · Machine Learning · Artificial Intelligence (AI) · MLOps · Microservices · Extract, Transform, Load (ETL) · Flask · Agile & Waterfall Methodologies · Data Analysis · Statistics · Predictive Modeling · Pandas (Software) · Data Analytics · Natural Language Processing (NLP) · Exploratory Data Analysis · Google Cloud Platform (GCP) · Hypothesis Testing