ANUSHREE

Hi, I'm Anushree!
I'm passionate about data, AI, and solving real-world problems using technology. I've worked on projects like a medical chatbot, pallet detection using computer vision, and highway inspection with AI.I enjoy learning new tools and turning ideas into practical solutions. I'm looking forward to growing in the fields of data analysis and artificial intelligence.I'm currently looking for opportunities as a Data Analyst or AI Intern, where I can apply my skills in Python, machine learning, and real-world data.
Thanks for visiting my site — feel free to check out my work or connect with me!

PROJECTS

  • DOMAIN: ARTIFICIAL INTELLIGENCE

  • Project 1: AI-Powered Highway Inspection and Maintenance System

  • Technologies: Python, OpenCV, YOLOv5, Deep Learning, GIS

  • Developed a computer vision pipeline to detect cracks, potholes, and faded road markings from drone

  • and vehicle-mounted camera footage.

  • Applied object detection models (YOLOv5) to identify infrastructure damage with over 85% precision.

  • Built a heatmap using GPS tagging to prioritize highway repair zones for the public works department.

  • Reduced manual inspection time by 60% using AI automation.

  • DOMAIN: SMART INFRASTRUCTURE,

  • Project 2: Pallet Detection and Counting in Warehouses

  • Technologies: TensorFlow, OpenCV, LabelImg, Flask

  • Designed and trained a deep learning model to detect and count pallets in warehouse images.

  • Annotated 1000+ images using LabelImg and trained a custom object detection model.

  • Achieved 93% accuracy in real-time counting with webcam and CCTV integration.

  • Deployed the model as a web app using Flask for warehouse personnel to access easily.

  • DOMAIN: HEALTHCARE

  • Project 3: Pediatric Hospital Analytics Dashboard

  • Technologies: Python, Pandas, Power BI, SQL

  • Analyzed 3 years of pediatric patient records to extract key operational KPIs.

  • Built dashboards showing bed occupancy, admission trends, patient demographics, and

  • seasonal diseases.

  • Identified a 20% seasonal spike in respiratory illness and advised on staffing optimization.

  • Presented findings to hospital administrators for better resource planning

skills 
Python (NumPy, Pandas, Matplotlib, Seaborn) 
Data Cleaning & Preprocessing 
Exploratory Data Analysis (EDA) 
Feature Engineering 
Statistical Analysis 
SQL for Data Querying 
Data Visualization (Matplotlib, Seaborn, Power BI)Supervised & Unsupervised Learning
Scikit-learn (Regression, Classification, Clustering) 
Model Evaluation (Confusion Matrix, Accuracy, ROC) 
Hyperparameter Tuning (GridSearchCV)Text Cleaning & Tokenization
TF-IDF, Bag of Words 
Cosine Similarity 
Chatbot Logic Development 
Streamlit-based NLP apps