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danand179

Devasath Anand

@danand179

AIML Engineer, Data Science, Web Developer

India
English, Hindi, Telugu
About me
šŸ‘‹Hello and Welcome to my profile! šŸ¤–I specialize in AI, Machine Learning, Data Science, and Web Development, creating innovative and reliable digital solutions. šŸ’»My Expertise: šŸ”¹ AI & Machine Learning šŸ”¹ Data Science & Data Analysis šŸ”¹ Python & ML Models šŸ”¹ Web Development & AI-Powered Applications šŸš€ My goal is to understand your requirements and deliver efficient, reliable solutions that ensure client satisfaction. šŸ¤Clear communication, on-time delivery, and client satisfaction. šŸ“©Have a project in mind? Feel free to contact me. Let's work together to turn your ideas into reality!... Read more

Skills

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danand179
Devasath Anand
Offline • 
Average response time: 1 hour

See my services

AI Implementation & Deployment
I will build ai agents with rag, langchain, langgraph, n8n and make

Work experience

Ai_Variant

Data Scientist

Ai Variant • Full-time

Oct 2025 - Jul 2026 • 9 mos

šŸ‘Øā€šŸ’» Position: Data Scientist šŸ¢ Company: AI Variant šŸ“ Job Description: šŸ‘Øā€šŸ’» 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. šŸ¤–šŸ“Š šŸš€ 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. šŸš€ Key Achievements & Contributions: šŸ¤– Contributed to AI and Machine Learning model development. šŸ“Š Performed data preprocessing, analysis, and interpretation. šŸ’” Applied data-driven approaches to solve technical problems. šŸ“ˆ Evaluated model performance to improve reliability. šŸ” Explored innovative solutions for real-world challenges. šŸ› ļø Skills & Expertise: šŸ Python & Pandas 🧠 Artificial Intelligence & Machine Learning šŸ“Š Data Science & Data Analysis šŸ¤– Deep Learning & NLP šŸ“ˆ Data Visualization āš™ļø Model Development & Evaluation šŸŽÆ My Focus: Delivering reliable, efficient, and data-driven solutions that meet client requirements.

Robotics_Company

Robotic's in AI

Robotics Company • Part-time

Jul 2022 - Jul 2025 • 3 yrs

šŸ¤– Position: AI Trainer – Robotics šŸ¢ Industry: Robotics & Artificial Intelligence šŸ“ Job Description šŸ‘Øā€šŸ’» 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. āš™ļø 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. šŸ† Key Achievements & Contributions šŸš€ Supported AI model training, testing, and evaluation. šŸ“Š Assisted with data preparation, validation, and quality improvement. šŸ¤– Contributed to exploring intelligent solutions for robotics applications. šŸ” Identified potential model errors and supported troubleshooting. šŸ’” Applied analytical and technical skills to improve AI system reliability. šŸ› ļø Skills & Expertise šŸ Python Programming 🧠 Artificial Intelligence (AI) šŸ¤– Machine Learning šŸ“Š Data Analysis & Data Processing āš™ļø AI Model Training & Evaluation šŸ” Data Validation & Quality Assurance 🦾 Robotics & Intelligent Systems šŸ’” Problem-Solving & Critical Thinking šŸŽÆ Professional Focus: Contributing to reliable, efficient, and intelligent AI solutions through data quality, model evaluation, and continuous improvement.