Hi, I'm Saaim Khan
CS & DS | Data Analyst & Business Solutions Architect
I'm a Computer Science and Data Science student exploring the intersection of technology, business, and finance. I'm passionate about using data to solve real-world problems and build scalable solutions.
Programming
Python, TypeScript, Java, SQL
Data Analysis
NumPy, Pandas, Matplotlib, Seaborn
Communication
Public Speaking, Presentations, Team Leadership
Business Intelligence
Power BI, Excel, Data Visualization
Experience
Data Analytics Intern
Menarini Stemline, New York City, NY
- Led a 10-week enablement program, coaching 80+ users to resolve SAP procurement issues, accelerate financial closings, and support operational efficiency
- Enabled SAP usage across EMEA by aligning stakeholders, tracking KPIs, and resolving ERP launch issues across Finance, Marketing, and Procurement
- Built a Power BI dashboard to track SAP ticketing volume and SLA aging — improving leadership visibility.
- Drove 50% adoption of SAP Mobile Start globally in under a month through direct outreach and CIO-backed business-side engagement.
Product Management Intern
Verge, New Jersey
- Developed and executed go-to-market strategies, defining target audiences and refining product-market fit (PMF) to drive adoption and engagement.
- Conducted in-depth competitor analysis, benchmarking features, pricing, and user experience to position Verge as a competitive player in the personal finance market.
- Shaped early GTM direction during beta phase, building onboarding flows and messaging to drive user trust and validate product positioning.
Projects
AI-powered platform that automates job applications using LLM technology and Python-based data processing.
- Implemented Python-based scripting to clean and preprocess resume data, ensuring optimized input for AI-powered automation
- Leveraged Vercel AI SDK and Stagehand to implement LLM-powered resume parsing directly in the browser, enabling faster, privacy-focused AI-driven job matching
- Developed a scalable backend in Next.js 13 (TypeScript), integrating with job boards for high-performance data retrieval and form population
Currently building an automated intelligence platform that detects when early-stage startups are preparing to go-to-market based on web and social activity signals.
- Developed a rule-based scoring engine to quantify GTM indicators such as GTM-role hiring, Twitter post frequency, and website positioning language
- Engineered dynamic web scrapers using Python and Stagehand to extract product launch language, hiring trends, and social engagement metrics
- Planned final output to include interactive dashboards and downloadable GTM signal reports for use by founders, investors, and go-to-market teams
SAP Ticketing Analytics Dashboard
Automated Power BI dashboard replacing manual Excel reports to provide real-time insights for leadership on SAP ticketing data.
- Transformed SAP ticketing analytics by replacing manual Excel reports with an automated Power BI dashboard, providing real-time insights for leadership.
- Developed key KPIs—Tickets Opened, Tickets Closed, and Tickets by SAP Module—to improve IT performance tracking and resource allocation.
- Identified trends in ticket resolution, helping leadership proactively address inefficiencies and optimize support workflows.
Currently building an AI-powered tool that automates legal drafting, document scanning, and review — starting with startup-friendly contracts and compliance workflows
- Currently building a full-stack web application that generates and analyzes legal documents using natural language input
- Designed with a Python + TypeScript architecture for flexible LLM integration, clause detection, and document parsing workflows
- Generates startup-focused contracts (e.g. NDAs, employment agreements) using OpenAI and LangChain-powered backend logic