👩💻 Aarti Bisht — Data Scientist Portfolio
Data Scientist | Machine Learning Enthusiast | Storyteller through Data 📊
🌟 About Me
Hello! I’m Aarti Bisht, a passionate Data Scientist who loves transforming raw data into meaningful insights.
I enjoy exploring data, building predictive models, and telling compelling stories through analytics.
I’m continuously learning new technologies and aim to contribute to projects that make data-driven decisions easier and smarter.
My goal is to bridge the gap between technology and business intelligence.
"Data is not just numbers — it’s a story waiting to be told."
🧠 Skills
- Programming Languages: Python 🐍, R 📊, SQL 💾
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost
- Data Visualization: Power BI 📈, Tableau, Matplotlib, Seaborn, Plotly, NumPy, Pandas
- Big Data Tools: Hadoop, Spark ⚡
- Databases: MySQL, MongoDB
- Version Control: Git & GitHub, streamlit, Flask
- Statistics, Deep Learning, NLP, Predictive Modeling
🛠️ Tools & Technologies
⚙️ Tools: Jupyter Notebook, Google Colab, VS Code, Anaconda
💻 Technologies: Machine Learning, Deep Learning, Artificial Intelligence, Data Wrangling, Cloud Computing (AWS, Azure)📚 Projects
🔵 1. Customer Churn Prediction
🧠 Goal: Predict customer churn using machine learning algorithms to help companies retain clients.
🧩 Tech Stack: Python | Scikit-learn | Pandas | Matplotlib
✨ Highlights: Data cleaning, feature engineering, logistic regression, model evaluation.
🔵 2. Sentiment Analysis on Twitter Data
💬 Goal: Analyze public sentiment from tweets using NLP techniques.
🧠 Approach: Preprocessed tweets, applied sentiment classification, and visualized insights using Tableau dashboards.
🧩 Tech Stack: Python | NLTK | TextBlob | Tableau
✨ Highlights: NLP preprocessing, tokenization, sentiment scoring, data visualization.
🔵 3. Sales Forecasting
📈 Goal: Build a time-series forecasting model to predict product demand.
🧠 Approach: Used ARIMA and LSTM models for improved prediction accuracy.
🧩 Tech Stack: Python | TensorFlow | Pandas | Matplotlib
✨ Highlights: Trend analysis, seasonality detection, deep learning forecasting.
🔵 4. Credit Card Fraud Detection
💳 Goal: Detect fraudulent credit card transactions using classification models.
🧠 Approach: Implemented Random Forest and applied SMOTE balancing for improved accuracy.
🧩 Tech Stack: Python | Scikit-learn | NumPy | Pandas
✨ Highlights: Model evaluation, feature scaling, class imbalance handling.
🔵 5. Movie Recommendation System
🎬 Goal: Recommend personalized movies to users using collaborative and content-based filtering.
🧠 Approach: Used cosine similarity and matrix factorization techniques.
🧩 Tech Stack: Python | Scikit-learn | Pandas | Surprise Library
✨ Highlights: Recommender systems, data preprocessing, similarity metrics.
🔵 6. Heart Disease Prediction
❤️ Goal: Predict the likelihood of heart disease based on health data.
🧠 Approach: Implemented Logistic Regression and Random Forest for classification.
🧩 Tech Stack: Python | Scikit-learn | Pandas | Seaborn
✨ Highlights: Medical data analysis, feature selection, model comparison.
🔵 7. E-commerce Product Review Analysis
🛍️ Goal: Analyze product reviews to determine customer satisfaction levels.
🧠 Approach: Applied NLP sentiment analysis to extract opinions and visualize insights.
🧩 Tech Stack: Python | NLTK | WordCloud | Tableau
✨ Highlights: Text mining, sentiment scoring, dashboard creation.
🔵 8. COVID-19 Data Visualization Dashboard
🌍 Goal: Visualize COVID-19 cases, recoveries, and trends globally.
🧠 Approach: Designed an interactive dashboard using Tableau and Python.
🧩 Tech Stack: Python | Pandas | Plotly | Tableau
✨ Highlights: Data visualization, real-time analysis, interactive storytelling.
🏆 Certifications & Achievements
- ✅ Data Science Professional Certificate — IBM
- ✅ Machine Learning Specialization — Coursera (Andrew Ng)
- ✅ Tableau Data Analyst Certification 🥇 Kaggle Contributor / Project Competition Participant
🚀 Future Work & Technologies
🔮 Exploring Generative AI, Large Language Models (LLMs), and AI Automation for data-driven innovation.Working on integrating data science with real-world applications like smart healthcare, fintech, and sustainability analytics.
Work on innovative projects involving deep learning, big data, and automation.🧠 Fun Fact
When I'm not analyzing data, you can find me exploring new tech trends, reading research papers, or designing data visualizations!📫 Contact Me
📧 Email: aarti.bisht@.com
💼 LinkedIn: linkedin.com/in/aarti-bisht
🌐 Portfolio Website: www.aartibisht.com
📊 GitHub: github.com/aartibisht