Engaged in community development projects, applying problem-solving skills to address local challenges and contribute to societal well-being.

Collaborated with diverse teams and local stakeholders to implement initiatives, fostering effective communication and project execution.

Developed adaptability and learning agility by operating in varied environments and contributing to different service areas.

Demonstrated commitment to public service and community engagement through active participation in state-level programs.

Gained practical experience in leadership and civic responsibility within a structured national service framework.

Calculated precise volumes of concrete for pile caps and abutments for a bridge project, optimizing material procurement and comparing subcontractor rates using Excel for cost efficiency.

Conducted detailed comparisons of two building drawings to identify critical differences, enabling accurate task scheduling and sequencing using Excel sheets to prevent project delays.

Contributed to various construction tasks, including interpreting complex design drawings for new bridge, high-rise, and rail projects to ensure accurate implementation.

Reviewed and optimized the placement of CCTV cameras at a rail station, enhancing safety standards and operational security.

Spearheaded a customer churn prediction project for the Data Science & Analytics team, significantly contributing to Lloyds Bank's understanding of customer retention dynamics.

Developed and implemented a robust predictive model using Random Forest and other machine learning algorithms, achieving an impressive ROC-AUC score of 0.82.

Conducted advanced data preprocessing, including handling missing values, encoding categorical variables, and feature scaling, leveraging Python libraries (pandas, scikit-learn, matplotlib) to prepare high-quality datasets.

Performed comprehensive model evaluation and hyperparameter tuning using GridSearchCV, and applied feature importance analysis to extract actionable insights that informed business strategies.

Completed a comprehensive customer churn analysis simulation for BCG Analytics, identifying key client data and developing a strategic investigation framework to inform business decisions.

Performed extensive data cleaning, analysis, and interpretation using Python libraries (Pandas, NumPy) and advanced data visualization techniques to uncover critical customer behavior trends and insights.

Built and optimized a Random Forest machine learning model, achieving a 50% recall rate in predicting customer churn and directly supporting data-driven retention strategies.

Prepared and presented a concise executive summary, highlighting key findings and actionable recommendations that supported informed business decision-making.

Supervised concrete works across multiple project phases, ensuring strict adherence to specifications and quality standards, which directly contributed to maintaining project integrity.

Monitored concrete mix designs and verified approved mix proportions, ensuring optimal material usage and structural performance.

Managed comprehensive batching, mixing, transportation, placing, compaction, and curing processes for concrete, minimizing defects and ensuring structural durability.

Ensured precise reinforcement placement, cover, and formwork setup prior to concreting, preventing structural failures and enhancing long-term stability.

Conducted rigorous onsite concrete and strength tests, analyzing collected data from tested samples to verify material performance and compliance with project requirements, generating comprehensive reports for documentation.