
Hello, I'm Anjali Bhimani
I'm passionate about leveraging technology and tools practical, impactful solutions that improve people's lives. With a focus on modern web technologies, I aim to create reliable, user-focused applications that can make a difference.
Skills
An overview of my technical and professional skills
Programming & Development

Computer Vision
Image Processing

Deep Learning
Neural Networks

Git
Version Control & Collaboration
HTML/CSS
Web Fundamentals

Java
Object-Oriented Programming
JavaScript
Modern ES6+ Development
ONNX
ML Model Interoperability
Python
Backend Development
PyTorch
Deep Learning Framework
React
Component-based UI
Experience
2+ years of professional experience
Business Development Intern
Formel Skin
- ▶AI Tool Implementation : Evaluated two customer communication platforms for AI and agent-based workflow integration. Conducted technical and financial assessments, identified infrastructure limitations, and collaborated with vendors to define functional and performance requirements. Designed an implementation plan to automate 30% of customer inquiries through AI-driven resolution.
- ▶L&D Budget Automation : Engineered a dynamic budget request system using Google Apps Script (JavaScript) with event-driven triggers, input validation, and persistent state storage. Implemented tier-based recalculations and automated dashboard updates, reducing manual processing by 80%.
- ▶Reference Letter Automation : Architected a trigger-based, multi-layered workflow for HR reference letters, automating email routing, data validation, and delivery to improve accuracy and processing speed.
- ▶Personnel Request Optimization : Built a centralized personnel request system with conditional branching and automated approval flows, linked to dynamic tracking in Google Sheets to streamline processes and eliminate manual routing.
- ▶Cost Request Optimization: Developed an event-driven cost approval workflow for the Finance team, with automated email generation, embedded controls, escalation logic, and spreadsheet-based tracking.
- ▶Onboarding Slack Workflow: Automated a Slack-based process delivering scheduled, stage-specific messages to new hires. Ensured timely access to key information, reducing HR follow-ups and improving the onboarding experience.
- ▶Employee Benefits Strategy : Synthesized quantitative and qualitative data from the 2025 Benefits Survey. Delivered a multi-phase benefits strategy through a formal presentation deck.
- ▶Slack-Based Support Bot Feasibility : Assessed the feasibility of a Slack-integrated support chatbot with a Notion backend. Compared third-party and custom solutions, outlining trade-offs in budget, data governance, and technical constraints.
- ▶Pharmaceutical Order Sheet Optimization : Investigated backend processes for medical order sheet updates. Identified systemic platform limitations, leading to project discontinuation.

Illicit Trade Prevention Intern
Philip Morris International
- ▶Created and presented debriefing materials for agencies supporting the Illicit Trade Prevention (ITP) team in PMI's Legal & Compliance department
- ▶Managed a project researching 150+ global brands and products, synthesizing findings into a master Excel inventory and two catalogue-style brand boards
- ▶Produced a live data dashboard with charts and visuals for ongoing illicit cigarette consumption analysis
- ▶Proofread and cross-checked final KPMG reports for 38 European markets, ensuring data and calculation accuracy

Market Research Analyst
Odders Lab
- ▶Collaborated in a team of 5 to conduct target market research on virtual reality products aimed at the 35+ demographic
- ▶Researched 10 potential competitors in the virtual reality software industry to identify strengths and weaknesses
- ▶Investigated 5 market barriers and developed innovative strategies to overcome reduced use of virtual reality
- ▶Synthesized all research and strategies into a client presentation and presented it remotely to the Odders Lab team
Independent Projects
Recent projects showcasing my growing skills in web development and creative problem-solving

Interactive Portfolio Website
A responsive portfolio website built with React, featuring animations, a typewriter effect, and an interactive contact form with a modern UI.

ResNet-18 Garbage Classifier
Developed and deployed a ResNet-18 deep learning model on NVIDIA Jetson to classify 12 types of garbage for enhanced recycling efforts.
Let's Connect
I'm always excited to discuss new opportunities, collaborate on projects, or just have a chat about technology and innovation!