Devasath Anand

Data Scientist

Ai Variant • Temps plein

Oct 2025 - Jul 2026 • 9 mos

👨‍💻 Position: Data Scientist 🏢 Company: AI Variant 📝 Job Description: 👨‍💻 Worked on Artificial Intelligence (AI), Machine Learning (ML), and Data Science projects, applying Python and data-driven methodologies to develop intelligent and practical solutions. Experienced in data preprocessing, exploratory data analysis, feature engineering, model development, and performance evaluation. Focused on identifying meaningful patterns, solving complex problems, and transforming raw data into actionable insights. 🤖📊 🚀 Applied analytical thinking and machine learning techniques to explore innovative solutions, improve model performance, and support the development of reliable, efficient, and scalable AI-driven applications. Committed to continuous learning, technical excellence, and delivering high-quality solutions aligned with project requirements. 🚀 Key Achievements & Contributions: 🤖 Contributed to AI and Machine Learning model development. 📊 Performed data preprocessing, analysis, and interpretation. 💡 Applied data-driven approaches to solve technical problems. 📈 Evaluated model performance to improve reliability. 🔍 Explored innovative solutions for real-world challenges. 🛠️ Skills & Expertise: 🐍 Python & Pandas 🧠 Artificial Intelligence & Machine Learning 📊 Data Science & Data Analysis 🤖 Deep Learning & NLP 📈 Data Visualization ⚙️ Model Development & Evaluation 🎯 My Focus: Delivering reliable, efficient, and data-driven solutions that meet client requirements.

Robotic's in AI

Robotics Company • Temps partiel

Jul 2022 - Jul 2025 • 3 yrs

🤖 Position: AI Trainer – Robotics 🏢 Industry: Robotics & Artificial Intelligence 📝 Job Description 👨‍💻 Worked on AI training and robotics-related projects, supporting the development and improvement of intelligent systems. Applied machine learning concepts, data preparation techniques, and model evaluation methods to help AI systems learn from data and perform tasks more effectively. ⚙️ Contributed to preparing and validating datasets, evaluating AI model outputs, identifying performance issues, and improving the quality and reliability of AI-driven solutions. Focused on problem-solving, analytical thinking, and applying AI technologies to practical robotics applications. 🏆 Key Achievements & Contributions 🚀 Supported AI model training, testing, and evaluation. 📊 Assisted with data preparation, validation, and quality improvement. 🤖 Contributed to exploring intelligent solutions for robotics applications. 🔍 Identified potential model errors and supported troubleshooting. 💡 Applied analytical and technical skills to improve AI system reliability. 🛠️ Skills & Expertise 🐍 Python Programming 🧠 Artificial Intelligence (AI) 🤖 Machine Learning 📊 Data Analysis & Data Processing ⚙️ AI Model Training & Evaluation 🔍 Data Validation & Quality Assurance 🦾 Robotics & Intelligent Systems 💡 Problem-Solving & Critical Thinking 🎯 Professional Focus: Contributing to reliable, efficient, and intelligent AI solutions through data quality, model evaluation, and continuous improvement.