I am an aspiring Data Scientist currently pursuing a Master's in Data Science. I am seeking opportunities to apply my skills in Python, Advanced Machine Learning, AWS & Azure in a challenging Data Science role. I am eager to contribute to a team dedicated to advancing data-driven insights and innovations.

• Programming Languages: Python, R, Java
• Data Visualization: Power BI, Tableau
• Cloud Platforms: Proficient in Data Analytics services on AWS, Azure & GCP
• Problem-Solving and Leadership
• Machine Learning: Experienced in building Machine Learning models
• Data Engineering: Good hands-on experience with building data pipelines
• Web Technologies: HTML, CSS
• Natural Language Processing (NLP) and Computer Vision
• Big Data Technologies: Hive, PySpark
• Databases: MySQL, PostgreSQL

• Successfully identified areas for cost optimization, resulting in improved financial performance and resource utilization.
• Instrumental in increasing sales by 30% through data-driven insights and strategic recommendations.
• Demonstrated proficiency in Excel, Power BI, Python, and MySQL to drive operational efficiency and achieve business objectives.

• Addressed unplanned machine downtime in pump manufacturing, mitigating productivity loss.
• Implemented strategic data preprocessing techniques and developed models including XGBoost and LSTM-based Autoencoder.
• Achieved outstanding results, resulting in significant economic success with cost savings of $1 million.

• Explored prompt engineering techniques and fine-tuning methodologies, including Parameter Efficient Fine Tuning (PEFT), to optimize model performance.
• Implemented Retrieval Augmented Generation (RAG) using OpenAI's GPT-3.5 Turbo, resulting in the development of a chatbot for online shopping with knowledge grounding capabilities.
• Developed modular code and a Streamlit application for user interaction, showcasing proficiency in Python, transformers, and other relevant libraries.

• Conducted data processing and feature engineering on borrower information dataset.
• Utilized exploratory data analysis techniques to identify key features for model development.
• Developed a classification model using LightGBM and optimized hyperparameters with Hyperopt.
• Gained comprehensive understanding of credit risk assessment principles and model optimization methodologies.

• AWS Certified Cloud Practitioner
• MySQL for Developer
• https://www.linkedin.com/in/prashant-tyagi-334b21229/details/certifications/

• M.Sc. in Data Science (Graduation Date: May 2024)

• Bachelor in Computer Application (Graduation Date: June 2022)

• Phone: +91-8708245465
• Email: [email protected]
• LinkedIn: [https://www.linkedin.com/in/prashant-tyagi-334b21229/]
• leetCode SQL Problem SOlved : [https://leetcode.com/user4094qg/]