Priyansh Solanki Email & Phone Number

Hello, I’m Priyansh Solanki! An enthusiastic 🍀 data science learner with a knack for diving deeply into data, transforming raw numbers into meaningful, visual insights 🌟.My academic journey in Artificial Intelligence and Machine Learning at L.J. Institute of Engineering and Technology has provided me with a solid foundation. Complementing my education, my internship at Sattrix Software enabled me to apply theories to real-world datasets, achieving over 90% accuracy in multiple machine learning models. My role entailed everything from data pre-processing and analysis to visualization, including collaborations across teams to ensure our objectives aligned seamlessly. 📊📈Programming is my playground. Fluent in Python and SQL, I’m seasoned in frameworks like Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn. Tools such as Excel and MySQL are second nature to me, allowing me to optimize workflows effectively. 👨‍💻🔧Projects are my canvas where I blend creativity with technical prowess. From predicting heart disease with a 94% accuracy to building a regression model from scratch for data analysis, I’ve pushed boundaries and delivered results. 🚀📚I am a lifelong learner, continuously upskilling through courses and certifications. With top grades in courses from esteemed institutions like the University of California, I ensure my knowledge is always up-to-date and relevant.Also, I believe in giving back to the community. My involvement with the Leo Club of Ahmedabad City saw me take part in initiatives that ranged from animal care to hunger drives, reaffirming my commitment to social welfare. 🐾🍲Let’s connect and chat about data science, machine learning, or any exciting project ideas you might have. I look forward to collaborating with like-minded professionals! 🌐🤝

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  Data Science Intern

  Sattrix Software Solutions

  Nov 2023 - Apr 2024 - Ahmedabad, Gujarat, India

  - Performed Exploratory Data Analysis using Python, employing Pandas, Matplotlib, and Seaborn to glean insights from diverse datasets.- Implemented Data Pre-Processing, Data Cleaning, Data Analysis, and Data Visualization, as well as building Machine Learning models, resulting in 90% accuracy.- Learned frameworks like PySpark and implemented Spark Session using Jupyter Notebook and built regression models, resulting over 90% accuracy.

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  Lj University

  7.8