🔍 A Data Analyst and Aspiring Data Scientist with a passion for uncovering insights from data and solving real-world problems using analytical and machine learning techniques.
- 📊 Perform Data Cleaning, Exploratory Data Analysis (EDA), and Visualization
- 🧠 Build and evaluate Machine Learning Models for classification, regression, and clustering
- 🛠️ Skilled in tools like Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and Jupyter Notebooks
- 💾 Comfortable working with SQL, Excel, and data from APIs or web scraping
- Languages: Python, SQL, R (beginner)
- Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Plotly, Statsmodels
- ML: Supervised & Unsupervised Learning, Feature Engineering, Model Evaluation
- Tools: Jupyter Notebook, VS Code, Google Colab, Git, Excel
- Soft Skills: Problem-solving, Critical thinking, Storytelling with data
- 📘 Deepening knowledge in Machine Learning & Statistics
- 📊 Working on Capstone Projects to solve real-world business problems
- 💡 Exploring Tableau, Power BI, and Big Data Tools
- 📧 Email: apoorvasharma1971@gmail.com
- 🌐 Portfolio: Portfolio
- 🧼 Data Cleaning & Analysis – Retail Sales, Health Records, E-commerce, etc.
- 📉 Predictive Modeling – Customer Churn, Insurance Purchase, Loan Defaults
- 🧠 ML Projects – Classification, Regression, Clustering, Model Tuning
💬 “Data is the new oil — but only if you know how to refine it.”