About Me
Get to know the person behind the projects.
Hello! I’m Siddheshwari (Siddhi) Bankar
I’m a data scientist, software engineer, and lifelong learner who thrives at the intersection of curiosity and creativity. My journey began in Pune, where I was the kid who always asked “why?”—a habit that’s served me well as I’ve tackled everything from predictive healthcare models to building full-stack web apps.
What sets me apart? I love making sense of messy data and turning it into something that actually matters—whether that’s a dashboard that helps a business make a smarter decision, or a machine learning model that predicts rare events. I’m not just about code; I’m about impact, clarity, and making tech approachable for everyone.
Lately, I’ve been diving deep into the world of AI—exploring everything from generative models to practical applications that make life and work smarter. I’m fascinated by how AI can amplify human creativity and solve real-world problems.
My approach is simple: stay curious, collaborate openly, and never stop learning. I believe the best solutions come from blending technical rigor with a dash of playfulness and a lot of empathy for the end user.
What I Value
- Creative problem-solving
- Collaboration & mentorship
- Data-driven impact
- Bringing a positive, can-do attitude
- AI enthusiast—ask me about the latest in generative models!
- Avid reader (ask me for a book rec!)
- Huge sweet tooth—dessert is my love language
- Obsessed with the color green (seriously, check my wardrobe)
- Pasta enthusiast & amateur chef
- Always up for a new adventure
Quick Timeline
- 2024: MS in CS @ Seattle University
- 2022: BEng in CS in India
- 2020–Now: Building, learning, and collaborating in tech
Skills
Technologies and tools I use to build data-driven solutions and modern applications.
Programming
- Python
- JavaScript
- SQL
- Java
Tools & Frameworks
- React
- Tableau
- Bootstrap
- Flask
Cloud & Data
- AWS
- MySQL
- MongoDB
- Git
Work Experience
Key milestones in my professional journey.
Data Analyst
- Developed a Synthetic Data Generation System, improving rare event prediction by 30%.
- Designed 8 SMOTE algorithm variants for class imbalance.
- Boosted ML model accuracy by 20% via transfer learning.
Data Scientist, Research
- Developed a Synthetic Data Generation System, improving rare event prediction by 30%.
- Designed 8 SMOTE algorithm variants for class imbalance.
- Boosted ML model accuracy by 20% via transfer learning.
Software Engineer - Data Science
- Automated data extraction, reducing manual effort by 40%.
- Built data pipelines, reducing processing time by 30%.
Education
Academic background and achievements.
Master in Computer Science & Data Science
- Courses: Distributed Systems, AI, ML, Big Data Analytics
- Activities: Grace Hopper Scholar, Women in Tech
Bachelor in Computer Engineering
- Courses: Data Structures, OS, DBMS, Computer Graphics
- Activities: National Service Scheme member
Projects
My portfolio showcases a diverse range of projects in Data Analysis, AI/ML, and Fullstack Development. Explore highlights below.
Google Merchandise Store Dashboard
Built a dynamic Tableau dashboard showcasing KPIs for acquisition, activation, and retention, including traffic analysis by source, location, and channel, with applied filters for segmentation and comparison.
RAG Chatbot using LangChain and Ollama
Developed a RAG chatbot using LangChain, Pinecone, and Ollama to extract and provide relevant information from research papers.
Publications
Explore my research publications on AI, Data Science, and Healthcare Informatics, contributing to advancements in machine learning, data analysis, and responsible AI.