Himanshi Tanwar
Student
BCA Student passionate about Artificial Intelligence, Machine Learning, and building impactful AI solutions.
Skills & Tools
- Python
- C++
- SQL
- EDAEDA
- Data VisualisationData Visualisation
- Time Series ForecastingTime Series Forecasting
- NLPNLP
- Deep LearningDeep Learning
- Machine LearningMachine Learning
- GitHubGitHub
About Me
I'm a BCA student with a strong interest in Artificial Intelligence and Machine Learning. I enjoy turning ideas into practical AI solutions that solve real-world problems. My experience includes building projects in machine learning, deep learning, and natural language processing while continuously exploring new technologies and research in AI.
I believe in learning by building, which is why I'm constantly working on projects that strengthen my problem-solving skills and technical foundation. I'm currently seeking opportunities where I can contribute, grow as an AI engineer, and create technology that makes a meaningful impact.
Education
2024-2027
Bachelor of Computer Applications
Bennett University
2023-24
12th
Uttarakhand Public School (CBSE)
2021-22
10th
Uttarakhand Public School (CBSE)
Selected Work
Forecasting Air Quality Using Machine Learning Regression Models
• Built an end-to-end ML pipeline to predict Air Quality Index (AQI)
• Performed preprocessing, feature engineering, and missing value handling
• Implemented and compared Random Forest and Linear Regression models
• Evaluated using RMSE, MAE, and R²; analysed key pollutant features
ChurnAI — Full Stack Customer Churn Prediction Dashboard
Built a full-stack customer churn prediction dashboard with an end-to-end machine learning pipeline.
Performed data preprocessing, feature engineering, feature selection, and class balancing (SMOTE).
Trained and compared Logistic Regression, Decision Tree, Random Forest, MLP, and XGBoost models.
Evaluated models using Accuracy, Precision, Recall, F1-score, and AUC-ROC; integrated forecasting and retention recommendations.
EnviroSense Pro — AI-Based Smart Environmental Monitoring & Disaster Prediction System |
Built an end-to-end AI-powered environmental monitoring system with a Flask-based interactive dashboard.
Performed data preprocessing, feature engineering, and trained multiple ML models for disaster risk prediction.
Developed real-time weather monitoring, disaster alerts, forecasting, and location-based risk visualization.
Evaluated and compared Random Forest, XGBoost, Gradient Boosting, Decision Tree, and Logistic Regression models.
Tech:
Certifications
Business Intelligence & Analytics (IIT Madras)
DeepLearning.AI – TensorFlow for AI, Machine Learning & Deep Learning
Edureka – Developing LLM Applications with LangChain
Step-by-Step Machine Learning with Python
Data Structures & Algorithms
Python Fundamentals
Introduction to Modern Database Systems
