Dedeepya Chittireddy

Experienced Data Scientist with 1.5+ years of hands-on expertise in designing, developing, and deploying scalable machine learning solutions for real-world applications. Proficient in Python, statistical modeling, and computer vision , with a proven track record of building end-to-end ML pipelines , optimizing data workflows, and delivering actionable insights through dynamic BI dashboards. Combines technical depth (ML algorithms, MLOps) with business acumen to solve critical challenges across industries.

Core Competencies:

• Machine Learning & AI : Developed high-accuracy models (e.g., 81% accuracy diabetes predictor ) using Scikit-learn, TensorFlow, and XGBoost . Expertise in computer vision, predictive analytics, and NLP .
• Data Engineering : Built scalable ETL pipelines with SQL, Pandas, and Spark , optimized databases, and managed large datasets.
• MLOps & Deployment : Containerized models with Docker , deployed APIs via Flask/FastAPI , and automated CI/CD pipelines ( GitHub Actions, AWS/GCP ).
• Cloud & Infrastructure : Leveraged AWS (S3, Lambda, EC2) and GCP for cloud-based ML solutions.
• Data Visualization : Created interactive dashboards with Power BI, Tableau, and Matplotlib/Seaborn to drive stakeholder decisions.
• Cross-functional Leadership : Collaborated with engineering and business teams to align ML solutions with organizational goals.

Technical Toolkit:
Languages: Python (Pandas, NumPy, OpenCV), R, SQL
Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras
Tools: Docker, Kubernetes, Terraform, Apache Kafka, Git
Cloud: AWS, GCP, Azure
Databases: PostgreSQL, MongoDB, Redis