Where I've Been

Analyzed structured and unstructured datasets using Python and SQL to derive actionable insights, while building machine learning models for predictive analytics and data-driven decision-making. Developed interactive dashboards using Tableau/Power BI to effectively communicate findings.

Awarded Star Performer for outstanding achievement in the AI Powered Data Analysis Remote Internship supported by Rochester Institute of Technology's Tiger STRIPES Program.

Designed a vehicle price prediction model using Gradient Boosting (XGBoost, LightGBM) with 92%+ accuracy. Performed feature engineering on large automotive datasets, reduced RMSE by 18%, MAE by 22%, R² to 0.91. Managed full ML lifecycle — data analysis, model selection, hyperparameter tuning, validation.

Built interactive visualizations (Matplotlib, Seaborn), performed data preprocessing (normalization, outlier detection, missing values), applied data augmentation for 15% accuracy increase. Executed full data science workflow — EDA, feature engineering, model selection — achieving 90%+ accuracy across 4 projects.

Designed end-to-end data science solutions for real-world business challenges. Cleaned, transformed, and ran EDA on large datasets using Python (Pandas, NumPy), R, and SQL — improving data quality by 35%. Trained ML models (Scikit-learn, XGBoost, Random Forest) with 28% accuracy boost. Built Power BI visualizations improving stakeholder insights by 50%. Automated pipelines reducing processing time by 45%.

Social media marketing campaigns with 35% engagement increase. Business analysis to evaluate market trends and competitive positioning. Developed entrepreneurial mindset through high-impact projects.

Contributed to business and technology initiatives through hands-on work in social media marketing, business analysis, and strategic planning. Designed and executed targeted social media campaigns, increasing engagement and brand reach by 30% across key platforms. Performed business analysis to identify market opportunities, assess customer needs, and evaluate competitive landscapes, providing data-driven recommendations. Collaborated with mentors and cross-functional teams to develop growth strategies aligned with organizational goals and technological innovation. Strengthened entrepreneurial mindset and skills in creativity, adaptability, and problem-solving through involvement in high-impact projects.

Market research, business development, and strategic planning in real-world projects. Competitive analysis to identify growth opportunities and contributed to partnership outreach increasing brand visibility.