I'm Sarish Chavan, a passionate data enthusiast with a keen eye for transforming data into impactful insights. With a strong foundation in Information Systems from Illinois Institute of Technology and hands-on experience in data engineering and machine learning, I am driven by the excitement of solving complex data problems and creating value through innovative solutions.

🚀 About Me

• 🎓 Education:
  • Currently pursuing an M.S. in Computer Science from Illinois Institute of Technology.
  • Earned a B.E. in Computer Science from Savitribai Phule Pune University.
• 💡 Technical Skills:
  • Data Analysis & Visualization: SQL, Python, R, Tableau, Power BI, Excel
  • Cloud & Data Engineering: AWS, GCP, Azure, Snowflake
  • Programming Languages: Python, SQL, Go, C++
  • Machine Learning: Hugging Face, GPT, CNN, Deep Learning, Mistral LLM
• 🏆 Professional Highlights:
  • Boosted efficiency by 40% and cut down errors through Python and AWS-powered automation at Nice Systems.
  • Spearheaded the creation of an AWS monitoring solution achieving 99.9% uptime, reducing pipeline failures by 30%.
  • Developed data models and predictive solutions with MedTour Easy, enhancing forecasting accuracy and data processing speed.
  • Contributing to impactful civic tech projects at HACK FOR LA by designing and optimizing data pipelines for efficient data processing and analysis.

🛠 Projects

• Automated Text Extraction & Client-Facing Application**: Designed an efficient pipeline using Python and Azure AI, cutting manual text extraction efforts by 50%.
• Model Evaluation System for GAIA Benchmark**: Built a Streamlit-based tool to enhance model accuracy assessment and streamline performance comparison.
• Urban Traffic Safety Analysis**: Refined data pipelines to boost data quality, accuracy, and decision-making speed for traffic safety insights.
• Open-Source Notion Integrated Action Item Extractor**: Implemented the Mistral-7B model to automate email parsing, reducing manual workload by 50%.
• Drug Satisfaction Prediction App**: Developed an interactive predictive tool for healthcare providers, achieving an 85% accuracy rate.
• Drowsiness Detection System**: Engineered a CNN-powered real-time driver fatigue detection system with 99.93% accuracy, recognized at the NES Innovation Awards.

🤔 Fun Facts

• I'm an advocate of lifelong learning and am currently expanding my knowledge in data engineering and AI model optimization.
• I love exploring new technologies and am always on the lookout for ways to apply machine learning to solve real-world problems.
• Outside of tech, I’m a curious explorer who enjoys analyzing data for fun and discovering hidden insights.

🌱 I’m Currently Learning

• Advanced techniques in cloud data infrastructure, specifically in Snowflake and BigQuery.
• Experimenting with large language models (LLMs) and exploring model fine-tuning on Hugging Face and OpenAI platforms.

💬 Ask me about

• Data pipelines, cloud infrastructure, and how to optimize your analytics workflows.
• Using visualization tools like Tableau and Power BI to tell compelling stories with data.
• Predictive modeling and implementing machine learning solutions to tackle data-centric challenges.

📫 How to Reach Me

• Email: [email protected]
• LinkedIn: https://www.linkedin.com/in/sarishrchavan/