Data Scientist

Summary

I am an experienced Data Scientist with a proven track record of designing and deploying machine learning models across diverse industries. My expertise spans from developing time series forecasting pipelines and product classification systems to building document classification and image detection models using cutting-edge techniques such as BERT, YOLO, Fast RCNN, and LSTM.

At Ernst & Young, Yottasys AI, and Owl Autonomous Imaging, Ive led impactful projects that significantly improved business outcomes. For instance, Ive reduced system latency by 60%, saved $2MM in marketing costs, and engineered high-performance APIs to handle massive datasets. Ive also enhanced model performance, boosting the accuracy and precision of solutions like thermal imaging segmentation by 10%.

Im skilled in Python, PyTorch, TensorFlow, SQL, DASK, Modin, and XGBoost, with strong abilities in data wrangling, feature engineering, and statistical modeling. I also have experience in deploying models using Docker, TensorRT, and cloud platforms like AWS and Google Cloud.

In addition to industry work, Ive contributed to research in synthetic data generation using GANs and validated models through various statistical tests. Ive also helped build an e-learning platform using GPT-3.5 Turbo API, improving student engagement with course-related queries.

Expectations

In my next role, Im looking for an opportunity where I can leverage my experience in machine learning and AI to solve impactful problems and drive innovation. I want to work in a challenging environment that encourages continuous learning and growth, allowing me to expand my skillset while contributing meaningfully to the organizations goals.

Employment Preferences

Expected Base Salary

**0,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Experience

Skills

• Programming Languages
• Python
• SQL
• SAS
• Machine Learning Frameworks
• PyTorch
• TensorFlow
• Scikit-learn
• Deep Learning
• BERT
• Fast RCNN
• YOLOv3
• V5
• LSTM
• Generative Adversarial Networks
• GAN
• Data Processing
• Parallel Computing
• DASK
• Modin
• Pandas
• NumPy
• PySpark
• Time Series Forecasting
• Prophet
• Random Forest Regressor
• Model Optimization
• Deployment
• TensorRT
• Docker
• Model Quantization
• Cloud Platforms
• AWS
• Google Cloud Platform
• GCP
• Big Data Tools
• Google BigQuery
• Databricks
• Version Control
• DevOps
• Git
• Natural Language Processing
• NLP
• NER
• Text Classification
• Super-Resolution For OCR
• GPT-3.5 Turbo
• Computer Vision
• YOLO
• V3
• Super-Resolution
• Optical Character Recognition
• OCR
• Database Management
• MySQL
• BigQuery
• Visualization Tools
• Tableau
• Matplotlib
• Seaborn