Lakshmi Sai Nivas T

Computer Science graduate with expertise in SQL, Python, and data visualization. Skilled in translating complex data into actionable business insights to support informed decision-making within teams. Passionate about leveraging technical skills to drive organizational success through data-driven strategies.

 Sales Intelligence Dashboard using SQL

• Developed a data-driven solution to help retail businesses optimize inventory and marketing by analyzing 1M+ rows of real-time sales data.

• Identified top-selling products, customer churn, and monthly sales trends using JOIN, GROUP BY, CTE, WINDOW FUNCTIONS, and CASE.

• Implemented cohort analysis, customer segmentation (RFM), and regional performance breakdowns.

• Demonstrated how SQL-based insights can improve decision-making in real-world retail and e-commerce scenarios.

 Disease Prediction Using Machine Learning

• Developed a machine learning model to predict diseases based on patient symptoms, age, gender, and health indicators.

• Applied robust data preprocessing, including label encoding, rare case removal, and normalization.

• Tackled class imbalance using RandomOverSampler to improve generalization.

• Trained a RandomForestClassifier, achieving high accuracy in predicting multi-class disease outcomes.

• Mapped predictions back to disease names using reverse encoding for interpretability.

 House Price Prediction with Python

• Cleaned and preprocessed real estate data using Pandas & NumPy.

• Handled outliers like unrealistic sqft/BHK ratios.

• Used Seaborn & Matplotlib to visualize price distribution and feature relationships.

• Identified feature-to-price patterns that drive pricing anomalies.

IBM Data Science