Creative prototypes
Interactive web projects that explore journaling, focus, self-expression, and playful everyday tools.
Product Systems · Data Science · Creative Front-End Prototypes
Hi, I'm Saisha Ketkar, a Data Science and Economics student at Northeastern University. My work spans AI-inspired product prototypes, data systems, dashboards, automation workflows, and interactive front-end projects. I like building tools that are practical enough to use, clear enough to understand, and polished enough to feel intentional.
About
I work across front-end prototyping, UX writing, workflow design, analytics, and backend/data systems. My experience includes ServiceNow workflow tools, reporting dashboards, Notion and Slack automations, generative AI documentation workflows, and scalable storage projects using Python, JavaScript, React, SQL, MongoDB, MySQL, Redis, ServiceNow, Tableau-style dashboards, Excel Power Query, Notion, and Slack. Across my projects, I care about making information more usable and experiences more approachable.
Interactive web projects that explore journaling, focus, self-expression, and playful everyday tools.
Database, analytics, and storage projects that show how I structure information and evaluate technical tradeoffs.
Automation, documentation, and operational tools built to reduce friction and make teams move faster.
How I work
I like projects where the interface and the system support each other: the product should feel intuitive on the surface, while the underlying structure handles data, state, content, and future expansion thoughtfully.
Selected work
A playful journaling prototype where users write what they are carrying, select multiple colors and a vibe, generate a personalized scrapbook page, save scraps to a growing local book, and export the current page as a PDF. The project explores how reflection tools can feel creative, gentle, and personal instead of blank or clinical.
What I built
Process
A bakery-themed focus companion where each completed focus round unlocks an ingredient. After five rounds, the user bakes a cute treat and adds it to a growing shop collection. The prototype reframes productivity as a warm progression system instead of a pressure-based task tracker.
What I built
Process
A Twitter-style backend system built to support tweet posting and home timeline retrieval at scale. I designed
relational schemas for users, tweets, and follower relationships, implemented API-style functions like
postTweet and getHomeTimeline, and benchmarked relational versus in-memory storage tradeoffs.
Technical focus
A document-store data pipeline for transforming raw sarcasm headline data into structured MongoDB-ready documents. I cleaned malformed URLs, extracted source domains, created nested headline records, and wrote aggregation pipelines to analyze sarcasm rates and keyword trends.
Data modeling
mongoimport, indexing, and aggregation stages including $unwind, $group, and $project.A normalized analytics database for aircraft incident data. I designed a 3NF MySQL schema, built an ETL pipeline in R, deployed a cloud-hosted MySQL database with secure SSL, and produced SQL-driven analytics across monthly, airline, and yearly trends.
Analytics system
An operations and finance workflow system built for TAMID at Northeastern to coordinate reimbursements, budgeting, event planning, and member processes across a 100+ member organization. The system connected Notion workflows with Slack notifications to reduce manual follow-up and improve operational visibility.
Workflow impact