Darshan
Mysuru, Mysore Division, Karnataka, India
Experience: 2 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: AWS, Azure, CPP, Docker, Git, GraphQL, Java, Jenkins, Jupyter Notebooks, Kubernetes, LLMs/ChatGPT, Matplotlib, MongoDB, MySQL, NumPy, pandas, PostgreSQL, Postman, Power BI, Problem Solving, PySpark, Python, Python3, PyTorch, scikit-learn, Tableau, TensorFlow
Previously worked at: Startups
Assessment Score: 100
- Educational Background
Holds a Bachelor of Computer Application with a major in Computer Science from the University of Mysuru, completed in 2022, demonstrating a strong foundation in AI and data science principles. - Professional Experience
With over 1.7 years of experience, currently working as a Business Analyst (Data Scientist) at Pangea Tech Solutions Pvt Ltd, focusing on AI-driven solutions that improved decision-making by 25% and boosted efficiency by 30%, including successful development of products like Turtlemoves.ai and automated e-commerce systems. - Advanced AI Skills
Proficient in machine learning, deep learning, NLP, computer vision, GANs, LLM, and MLOps, with hands-on experience in utilizing tools such as MLflow, DVC, Langchain, and cloud services like AWS and Azure for scalable AI solutions. - Notable Project Contributions
Led key projects such as a text-to-video platform that significantly reduced production time for educational content, an e-commerce ad generation tool, and the development of a scalable document embedding system using AWS Lambda functions. - Internship Experience
Previously interned at iNeuron, where contributed to machine learning projects, including predicting turbofan engine life with 89% accuracy and optimizing sales performance using Tableau, leading to significant business improvements. - Achievements and Certifications
Earned top 50 placement in an Analytics Vidhya hackathon, top 100 in Kaggle, and completed courses such as “Elements of AI” and “Deep Learning Mega Community Live session,” showcasing a commitment to ongoing learning and professional development in AI and data science.