Akash Tak

Results-driven and analytical aspiring Data Scientist with a solid foundation in statistics, machine learning, and data analysis. Proficient in Python, SQL, and data visualization tools such as Matplotlib and Power BI. Adept at cleaning, analyzing, and interpreting large datasets to drive business decisions. Completed hands-on projects involving predictive modeling, clustering, and data storytelling. Quick learner with a passion for solving real-world problems through data and continuously improving technical skills. Eager to contribute to data-driven teams in a collaborative and dynamic environment.

1. Predicting House Prices Using Machine Learning
Tools: Python, Scikit-learn, Pandas

• Built a regression model to predict housing prices using features like size, location, and year built.
• Performed feature engineering and model tuning to improve accuracy.
• Achieved an R² score of 0.87 on the test set.

2. Customer Segmentation using K-Means Clustering
Tools: Python, Matplotlib, Scikit-learn

• Applied clustering on customer data to identify target segments for marketing.
• Visualized clusters using PCA and interpreted business insights.

3. Exploratory Data Analysis on COVID-19 Dataset
Tools: Python, Pandas, Matplotlib

• Analyzed COVID-19 case trends across countries.
• Created visual dashboards to show infection growth, mortality rates, and vaccination trends.