Subhash Pavan Chakravarthy Somarouthu Email and Phone Number

I am a zealous Data Analyst and Application Development Associate with over two years of experience in transforming complex datasets into valuable business insights. I am zealous about applying data science and machine learning techniques to drive operational improvements and business growth.Skills: Python | SQL | Power BI | Tableau | Advanced Excel | MySQL | Microsoft SQL Server | Machine Learning | Data Analysis | Data Visualization | Predictive Modeling | A/B Testing | Dashboard Design | Statistical Analysis | Data Validation.At Quinte Financial Technologies, I played a key role in improving data-driven decision-making by designing interactive dashboards using Tableau. I triumphantly reduced report generation time by 30% and ensured a 25% decrease in data discrepancies through rigorous validation and quality checks. I worked closely with cross-functional teams to translate business requirements into actionable data insights, markedly enhancing project delivery and stakeholder satisfaction.During my tenure as a Data Science Intern at Almabetter, I focused on extracting and analyzing data to improve product development and marketing strategies. By leveraging Python and conducting A/B testing on website UI/UX designs, I contributed to a 25% increase in student engagement and an 18% rise in course purchases. My predictive modeling efforts led to improved strategic decisions, boosting overall business performance by 15%.In my role at Accenture as an Application Development Associate, I managed large datasets using SQL and optimized data retrieval processes, which led to enhanced data accuracy and a 15% increase in ticket closure rates. I also collaborated on high-impact projects such as the Virgin Media O2 5G launch, where I ensured seamless integration and provided critical testing support, improving operational efficiency and communication.One of my notable projects is the Bank Customer Churn Prediction, where I implemented machine learning algorithms like Support Vector Machine and Logistic Regression to predict customer churn. I used SMOTE to handle class imbalance, which improved model recall by 25%. Additionally, I performed hyperparameter tuning to enhance the model’s precision by 20%, making it more robust and actionable for business interventions.I hold a Post Graduate degree in Data Science from Loyalist College, Toronto, and a Bachelor's in IT from SRKR Engineering College, India.Contact Information:Email: subhashsomarouthu2000@gmail.com Mobile: +1 437-966-2274Location: Canada