ANJALI SOLANKI

Recent BSc IT graduate with hands-on experience building full-stack applications and machine learning solutions, including a BERT based NLP sentiment classifier trained on 77,000+ real-world samples. Proficient in Python with practical experience in REST API development, MongoDB, and AWS cloud services (S3, IAM). Oracle Cloud Infrastructure AI Foundations and UiPath certified, with strong object-oriented fundamentals and a fast learning curve for new tools and framework.

• Oracle Cloud Infrastructure - AI Foundations Associate
• UiPath Introduction to Automation (RPA)

Languages & OOP: Python, Java, C++, JavaScript, Object-Oriented Programming, Algorithms

Machine Learning: Python for ML, PyTorch, BERT Fine-Tuning, NLP, Pandas

Backend & APIs: REST API Development & Integration, JSON, Node.js

Frontend: React Fundamentals, HTML5, CSS3, JavaScript, Responsive Web Design

Databases: SQL, MySQL, Queries & Joins, MongoDB (NoSQL), Data Validation & Integrity

Cloud: AWS (Amazon S3, IAM Roles & Policies — Hands-on), EC2 Fundamentals, Oracle Cloud Infrastructure (Certified)

Testing & Practices: Test Case Writing & Execution, Debugging, Git, GitHub, Agile Methodology (Basics), Technical Documentation

Automation: n8n, UiPath (Basics)

Expense Tracker — Full-Stack Web Application | React, Node.js, Amazon S3, IAM
• Built a full-stack expense tracking application that parses bank statements and automatically categorizes transactions into groceries, bills, travel, and EMI.
• Implemented secure financial document storage using Amazon S3, IAM least-privilege roles and policies, and time-limited presigned URLs.
• Automated month-end financial reporting by category and developed recurring-payment detection to identify subscriptions and auto-debits, reducing manual reconciliation effort.
• Deployed the React frontend on Vercel and Node.js backend API on Render.

Hospital Management System | MERN Stack, REST APIs, MongoDB, GitHub
• Built a full-stack MERN application to manage patient records, doctor profiles, appointments, and staff operations, replacing fragmented paper-based record-keeping.
• Developed a blood bank module to track real-time blood stock availability by blood group and identify potential shortages.
• Implemented PDF generation for birth certificates along with full CRUD operations, error handling, and technical documentation.

Cafe Website — Dine-In Ordering & Reservation Web App | HTML, CSS, JavaScript, GitHub
• Built and deployed a responsive dine-in web application with table-side ordering, running tabs, and itemized GST billing to streamline restaurant operations.
• Enabled contactless UPI payments through auto-generated QR codes and deep links for GPay, PhonePe, and Paytm, with staff PIN verification for transaction confirmation.
• Developed a validated table-reservation system using browser-side session storage to improve booking accuracy and deployed the application on Netlify.

Sentiment Analysis Tool | Python, PyTorch, BERT, Google Colab
• Fine-tuned a pretrained BERT transformer model using PyTorch to classify sentiment across a 77,000-row real-world Twitter dataset from Kaggle.
• Built an end-to-end NLP pipeline covering text cleaning, tokenization, train/test splitting, and hyperparameter tuning.
• Achieved approximately 68% accuracy on the held-out test set and evaluated model performance using accuracy and confusion matrix analysis.

Lead Data Enrichment & Automation Workflow | n8n, APIs, SQL, GitHub

• Engineered an automated data evaluation workflow designed to ingest, screen, and validate large datasets, converting raw data inputs into consistent, structured outputs. • Implemented custom data-filtering rules and SQL queries to screen datasets for accuracy, simulating rule-based asset and entity evaluation pipelines. • Authored comprehensive technical documentation covering module specifications and rule behaviors to support peer reviews and quality assurance. • Executed defect remediation and root-cause analysis on backend logic, improving data-transfer structures and overall workflow efficiency.