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/]