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Utkarsh69ine/README.md

Utkarsh Sharma

Data Scientist | Machine Learning Engineer

Building scalable data solutions and intelligent systems for enterprise applications

Professional Summary

Senior-level data scientist with expertise in developing end-to-end machine learning pipelines, from research and prototyping to production deployment. Specialized in computer vision, predictive analytics, and MLOps with a strong background in statistical modeling and distributed computing.

Current Focus: Intelligent automation systems, real-time object detection, and scalable ML infrastructure.

Technical Competencies

Programming & Frameworks

  • Languages: Python, SQL, JavaScript, R
  • ML/DL: TensorFlow, PyTorch, Scikit-learn, XGBoost
  • Data Processing: Apache Spark, Pandas, NumPy, Dask

Infrastructure & Deployment

  • Cloud Platforms: AWS (SageMaker, EC2, S3), Google Cloud Platform
  • MLOps: Docker, Kubernetes, MLflow, Kubeflow
  • Databases: PostgreSQL, MongoDB, Redis, Apache Cassandra

Specializations

  • Statistical Modeling & Hypothesis Testing
  • Computer Vision & Image Processing
  • Natural Language Processing
  • Time Series Analysis & Forecasting
  • A/B Testing & Experimental Design

Selected Projects

Smart Parking Management System
Computer Vision Solution for Urban Traffic Optimization

Developed an automated parking management system utilizing YOLO-based object detection algorithms for real-time vehicle identification and space optimization. The system processes video streams to monitor parking availability and optimize traffic flow patterns.

Key Technologies: Python, OpenCV, TensorFlow, PostgreSQL, Docker

Professional Development

Currently advancing expertise in:

  • Advanced MLOps practices and model governance frameworks
  • Real-time data processing with Apache Kafka and Apache Flink
  • Distributed training optimization for large-scale models
  • Edge computing and model compression techniques

GitHub Statistics

GitHub Stats

Top Languages

Contact

Email: sharma.utk@proton.me
Professional Writing: Medium
Resume: View Document

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