Muthukamalesh Muthukrishnan

Dynamic and results-oriented Data Professional with a master’s degree in Data Science and a Bachelor’s in Computer Science, adept at transforming complex data into actionable insights that drive business success. Demonstrated expertise in advanced analytics, machine learning, and data visualization to solve challenging problems and deliver strategic value. Proficient in Python, R, SQL, and cloud platforms, with a proven track record of building efficient data pipelines and conducting comprehensive analyses. Known for exceptional problem-solving skills, technical acumen, and the ability to communicate complex concepts effectively to diverse stakeholders. Committed to leveraging data to power innovation, streamline processes, and enable data-driven decision-making in fast-paced environments.

• Leadership Development Program, Completed a course on effective leadership and team management.
• Microsoft Azure Fundamentals (AZ-900)
• Python Programming Certification
• Customer Service Excellence Training (McDonald's Customer Service)
• Database and Data Handling Certification

MOMFIT Wellness Platform, Developed a comprehensive data-driven wellness platform that provided personalized recommendations to users based on their health data, leveraging machine learning algorithms for predictive analysis. Restaurant Rating Predictor, Created a predictive model using Python and machine learning techniques to forecast restaurant ratings based on customer reviews and other factors. COVID-19 Dashboard & Accident Mortality Analysis, Designed and implemented an interactive dashboard that visualized COVID-19 data and analyzed mortality rates from accidents, helping stakeholders understand trends and patterns. Customer Churn Predictive Model, Developed a machine learning model to predict customer churn, enabling targeted interventions to retain high-value customers. Real-time Streaming Data Analysis System, Built a real-time data processing system to analyse streaming data, providing insights and alerts based on predefined criteria.

Subclass 485, 10/20/28

• Automated workflows using Power Automate and custom dashboards, reducing manual effort by 30% and improving reporting accuracy.
• Spearheaded the development of a customer churn prediction model that increased customer retention by 20%.
• Designed and implemented an interactive COVID-19 dashboard, enabling real-time data visualization for stakeholders.
• Streamlined inventory management at Nova Tyres using data-driven strategies, leading to a 15% reduction in operational costs.
• Led a data-driven project for an NGO, enhancing their volunteer management system and improving operational efficiency.
• Trained and mentored a team of IT technicians, resulting in a 25% improvement in service delivery quality.
• Created predictive models for restaurant ratings, accurately forecasting trends with a 90% success rate using Python and machine learning techniques.
• Achieved Microsoft Azure Fundamentals (AZ-900) certification, demonstrating proficiency in cloud-based solutions.