Pranjal Patil
Colchester,Essex
Summary
Enthusiastic professional with focus on Artificial Intelligence and Machine Learning with extensive expertise in Python, C++, and Java, specialising in real-time object detection and facial recognition. Proficient in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, with a strong background in data engineering using Pandas, NumPy, and Matplotlib. Demonstrated success in deploying models using Docker, Kubernetes, and Terraform on AWS and Google Cloud platforms. Adept at developing algorithms for sentiment analysis and text preprocessing with NLTK and SpaCy. Career goal: to leverage advanced technical skills to drive innovation in AI-driven solutions. Enthusiastic professional with focus on Artificial Intelligence and Machine Learning. Employs unique problem-solving skills and deep understanding of AI algorithms to drive innovation and optimise performance. Committed to leveraging data analysis techniques and programming abilities to contribute to team objectives and corporate goals.
Overview
3
3
years of professional experience
4
4
years of post-secondary education
1
1
Certification
Work History
Artificial Intelligence intern
3NS.AI
London
07.2024 - 01.2025
- Developed and trained machine learning models to solve specific business challenges
- Deployed machine learning models for ad targeting, increasing click-through rates by 15% across multiple campaigns
- Led cross-functional team to develop sentiment analysis tool that reduced customer complaints by 20%
- Conducted A/B testing on recommendation algorithms, enhancing user engagement by 25%
- Implemented real-time fraud detection system, decreasing fraud incidents by 40%
- Assisted in design and implementation of AI algorithms for predictive analytics
- Collaborated with team to integrate AI solutions into existing systems and workflows
- Implemented and maintained MLOps pipelines using Kubernetes and Terraform to streamline model deployment
- Built scalable AI workflows using Docker and CI/CD automation
- Set up continuous model training and deployment using GitHub Actions and Kubernetes
- Improved security measures via AI-driven cybersecurity applications.
Jr. Data Analyst
Hewlett Packard Enterprise
India
11.2022 - 10.2023
- Analyzed and interpreted data to provide actionable insights that supported business objectives
- Analyzed sales data to identify market trends, contributing to 10% increase in sales
- Developed SQL queries to gather actionable insights, boosting data accuracy by 18%
- Created data visualizations and dashboards to track Key Performance Indicators (KPI's) and latest trends
- Collaborated with cross-functional teams to implement data-driven solutions and improve operational efficiency
Data Scientist
Flip Robo Technologies
India
04.2022 - 10.2022
- Built scalable data pipelines for high-dimensional sensor data (LiDAR, radar, images) using PySpark and NumPy, deploying models with Docker, Kubernetes, and real-time monitoring via Grafana and Prometheus
- Built data pipelines with PySpark to process high-dimensional sensor data (LiDAR, radar, images) for autonomous vehicle projects
- Designed and deployed data transformation models in Azure Databricks, enhancing model performance and scalability
- Integrated real-time monitoring solutions with Log Analytics Workspace and Power BI, improving observability
- Collaborated with business teams to define data requirements and optimized data storage strategies
Education
Master of Science (MSc) - Artificial Intelligence
University of Essex
01.2024 - 01.2025
Bachelor of Science (BSc) - Computer Science
Savitribai Phule University
01.2019 - 01.2022
Skills
- Programming: Python, C, Java, SQL
- Machine Learning and AI: TensorFlow, PyTorch, Scikit-learn, YOLOv11
- Computer Vision: OpenCV, Real-time Object Detection, FacialRecognition
- Natural Language Processing (NLP): Sentiment Analysis, Text Preprocessing, NLTK, SpaCy, Algorithm Development & Data Engineering
- Data Analysis and Visualization: Pandas, NumPy, Matplotlib, Seaborn
- Big Data &Database: MySQL, MongoDB, Google BigQuery
- Cloud &DevOps: AWS(EC2,S3), Goggle Cloud, Docker
- Drone Integration: Real Time Video Processing, RTMP server setup
- MLOps: Terraform, Kubernetes, Model Deployment, Faster API, Flask
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Certification
- Deep Learning Specialization, Coursera
- Machine Learning by Data Trained University
Custom
Real-Time Object Detection with Drone Technology, Built a real-time detection system using YOLOv11, achieving 86% accuracy on the VisDrone dataset. Integrated live DJI Mini 3 drone feeds for aerial tracking of cars, animals, and people, enhancing surveillance and traffic monitoring. Image Classification with CNNs, Designed a TensorFlow-based CNN achieving 90% accuracy on CIFAR-10 image classification. Optimized deep learning workflows, from preprocessing to deployment. Generative AI: Text-to-Image Conversion, Built a Stable Diffusion pipeline to generate images from text with high clarity and diversity. Optimized for real-world generative AI applications in media and design. Fraud Detection in Financial Transactions, Developed a fraud detection system achieving 92% precision on imbalanced data. Leveraged machine learning to enhance real-time financial security. Real-Time Facial Recognition System, Extended YOLOv11 to include facial recognition for live drone feeds. Delivered advanced security solutions for crowd monitoring and VIP protection. End to End MLOps Pipeline for Real Time object Detection, Built a fully automated MLOps pipeline to deploy a YOLOv11 model on AWS using Terraform and Kubernetes. Integrated Prometheus and Grafana for monitoring model performance and system health.
Languages
English
Proficient (C2)
Timeline
Artificial Intelligence intern
3NS.AI
07.2024 - 01.2025
Master of Science (MSc) - Artificial Intelligence
University of Essex
01.2024 - 01.2025
Jr. Data Analyst
Hewlett Packard Enterprise
11.2022 - 10.2023
Data Scientist
Flip Robo Technologies
04.2022 - 10.2022
Bachelor of Science (BSc) - Computer Science
Savitribai Phule University
01.2019 - 01.2022
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