Hey, I'm Daksh Patel, a dedicated Applied Data Science enthusiast currently pursuing my Masters at USC. I'm on a mission to unlock the power of data and create meaningful insights. As a coding enthusiast, I thrive on challenges and continuously seek opportunities to learn and grow. Join me on this exciting journey through my projects and experiences. Let's innovate and make an impact together! 🚀 #DataScience #USCGradStudent

WHAT I DO

🔭 I’m currently studying Data Science

🌱 I’m currently learning Deep Learning and Image Segmentation

👯 I’m looking to collaborate on Research Projects

Summary

Passionate Data Science enthusiast with a proven track record in machine learning, deep learning, and data analysis. Experienced in developing innovative solutions to complex problems across multiple domains. Seeking opportunities to leverage expertise in impactful projects within a dynamic environment.

Education

University of Southern CaliforniaLos Angeles, CA Master of Science in Applied Data Science, GPA: 3.65/4.0 Aug 2023-Present Relevant Coursework: Data Analysis, Data Visualization, Modeling, Debugging, Probability, Statistics, Statistical Testing, Deep Learning, Fine-tuning.

SRM Institute of Science and TechnologyChennai, India Bachelor of Technology in Computer Science, GPA: 4.0/4.0 June 2019-May 2023 Relevant Coursework: Data Mining and Analysis, Artificial Intelligence, Advanced Programming Practice.

Work Experience

Kintsugi Global Inc. Los Angeles, CA NLP Researcher/AI EngineerMay 2024-Present

• Custom-trained large language models (LLMs) using PyTorch to develop a chatbot that provides information about anime characters and stories, enhancing user engagement by enabling interactive queries related to anime
• Integrated voice generation models to create anime-based voices, enhancing user experience with voice interactions
• Addressed the challenges in optimizing the speed of text-to-speech conversion, ensuring seamless and efficient interaction between the chatbot and the anime avatar

University of Southern California Los Angeles, CA Teaching Assistant (Course Producer) Jan 2024-Present

• Earned the Teaching Assistant role by ranking among the Top 5 students in DSCI 552 Machine Learning for Data Science.
• Provided personalized guidance and clarification to students, ensuring their success in completing Data Science tasks effectively
• Offered assistance and clarification to students, ensuring their comprehension and success in completing Data Science tasks

Keck School of Medicine, USC Los Angeles, CA Research Assistant Nov 2023-Present

• Led research endeavors aimed at enhancing medical image classification algorithms, resulting in heightened diagnostic precision. Utilized quantization techniques to decrease model parameters and enhance computational efficiency by 15%.
• Implemented a novel data preprocessing approach to mitigate data imbalance and enhance model robustness, leading to superior classification performance and a boosted weighted accuracy of 10%
• Applied cutting-edge deep learning methodologies to optimize feature extraction and classification processes, thereby improving interpretability and efficiency of medical imaging systems.

Siksti Technologies Bengaluru, India Machine Learning EngineerJan 2023-Sept 2023

• Leveraged Machine Learning techniques to identify sales trends, enabling data-driven decision-making and contributing to a 10% increase in revenue
• Engineered and implemented innovative backend solutions using Django and PostgreSQL, resulting in an 80% enhancement in efficiency for catalog and inventory upload processes
• Boosted API response time by 66% through the application of performance optimization techniques, significantly improving user experience

Publications

Predicting Agricultural Yield by Integrating Remote Sensing [link] (Jan 2023-May 2023)

• Developed an ML model for Punjab crop yield prediction by leveraging 17 years of weather, soil, and NDVI data, incorporating statistical methods, ML algorithms, and real-world validation. Integrated findings into the research publication in ICoISS (June. 2023) to improve the accuracy of yield predictions.

Research work: Blockchain-based Food Supply Chain [link] (Aug 2021-Nov 2021)

• Developed a robust double blockchain framework to enhance transparency, traceability, and trust in the agricultural supply chain. Conducted comprehensive research on blockchain technology's application in the food supply chain, resulting in a publication in Procedia Computer Science (Jan. 2022)

Skills and Interests

• Languages: Python, R, Java, C++
• Frameworks/Libraries: TensorFlow, PyTorch, Scikit-learn, XGBoost, CatBoost, Pandas, NumPy, SpaCy, Tesseract, Statsmodels, Matplotlib, Seaborn, Keras, BeautifulSoup, Selenium, Django, Flask
• Databases and Cloud: SQL, PostgreSQL, NoSQL, JSON, XML, Firebase, AWS, Azure
• Big Data Tools and Technologies: Spark, Hadoop, Hive, Tableau, Power BI, Kafka, Apache Airflow, Jenkins, JIRA, Redis, Excel

Leadership and Involvement

GRIDS, USCLos Angeles, CA Tech Team Board MemberAug 2023-Present

• Demonstrated strong leadership by organizing and leading hackathons, workshops, and team projects, showcasing effective project management skills and fostering a collaborative environment for skill development
• Provided mentorship to junior club members, facilitating their growth in machine learning, data analysis, and programming, while also emphasizing the importance of teamwork and communication

Achievements and Certifications

• Among Top 5 Teams in a hackathon organized in the field of Computer Vision. Developed a Document Enhancer App specifically designed to enhance and extract information from Government IDs.
• Secured 3rd Position for Final Year Project, which was then published in the journal ICIoSS. This project was part of the Dean's Collaborative Project Initiative at SRM Institute of Science and Technology.
• Machine Learning by Stanford University, Coursera, and Deep Learning Specialization by DeepLearning.AI, Coursera.

Exploring the wonders of nature has always been my passion. From the lush forests to the towering mountains and serene coastlines, there's something truly magical about immersing oneself in the beauty of the natural world. Every journey outdoors brings a sense of wonder and excitement, igniting my curiosity and inspiring me to capture the essence of each moment through photography.