Anish Bhandari

More Than Just Numbers

From tracking sports stats as a kid to driving global process improvements, data has always been central to how I think. Over the years, I’ve led Lean and Six Sigma projects that saved millions, managed teams across continents, and worked with everyone from frontline operators to C-suite leaders.Clear communication and attention to detail have always been part of how I work. Whether documenting quality or translating data into decisions, I focus on making complex ideas useful and actionable. Data science became the natural next step for me, a space where I could apply my passion for analysis, strategy, and results.Today, I bring not just technical skills but real business perspective, the ability to connect insights to outcomes and help organizations move smarter and faster.

Projects

This is a collection of academic and real-world work where I’ve used data to explore and solve problems.Click any image to learn more about each project.If you’d like to see detailed code and datasets, please check out the GitHub link in the Contact section.

Education

Skills

  1. Programming Languages: Python (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), R, SQL

  2. Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, ggplot2

  3. Machine Learning Techniques: Linear Regression, Logistic Regression, Supervised and Unsupervised Learning, Clustering, Naive Bayes, SVM, XGBoost, Random Forest, Neural Networks

  4. Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs)

  5. Natural Language Processing: Text Preprocessing, Tokenization, Sentiment Analysis, Document Classification, Topic Modeling (LDA)

  6. Big Data Technologies: Apache Spark, Hadoop, NoSQL Databases (MongoDB)

  7. Cloud Platforms: AWS ,Azure, Google Cloud Platform

  8. Model Deployment and MLOps: Flask, FastAPI, Streamlit, MLflow, Docker

  9. Data Engineering: ETL Pipelines, Apache Airflow

  10. Optimization and Hyperparameter Tuning: Grid Search, Random Search, Bayesian Optimization

  11. Statistical Analysis: Hypothesis Testing, A/B Testing, t-tests, ANOVA, Time Series Analysis (ARIMA, Prophet)

  12. Explainable AI: SHAP, LIME

  13. Feature Engineering and Dimensionality Reduction: PCA, t-SNE, UMAP

  14. Version Control and Tools: Git, GitHub, Jupyter Notebooks, VS Code

  15. Soft Skills: Analytical Thinking, Problem-Solving, Communication, Team Collaboration, Project Management, Leadership, Adaptability, Critical Thinking, Business Acumen

Contact