gaurav.shandilya187

• Translated business requirements into actionable data analyses, using statistical methods and machine learning to drive decision-making. • Identified key feature variables and trends through comprehensive data exploration and visualization. • Collaborated closely with business and product teams to identify data science opportunities and provide data-driven solutions. • Built and deployed Machine Learning models for Churn Prediction, Customer Segmentation, and other key business problems. • Cleaned and organized raw data, creating visualizations and dashboards in Tableau and Looker for actionable insights. • Generated detailed reports with insights and presented them to clients and stakeholders to support business decisions. • Defined and tracked KPIs using SQL, and built Tableau dashboards to monitor business performance. • Implemented machine learning models like churn prediction and customer segmentation using K-means and RFM scoring. • Developed Customer Segmentation Machine Learning models to optimize marketing strategies and enhance customer targeting. • Utilized technologies including Python, Machine Learning Algorithms (Predictive Modeling), Google Cloud Platform (GCP), BigQuery, VertexAI, Scikit-Learn, SQL Server, Excel, PowerBI, Tableau, and SQL to deliver data-driven solutions. • Achieved a 20% increase in model accuracy by refining algorithms and feature selection during the development of predictive analytics solutions using Python, Scikit-Learn, and SQL

• Designed and, developed machine learning models and predictive analytics solutions to drive business insights and decision- making. • Conducted data mining, cleaning, and preprocessing to ensure data accuracy and quality for analysis. • Performed exploratory data analysis (EDA) and statistical modeling to identify trends, patterns, and anomalies. • Built interactive data visualizations and dashboards using Tableau, Power BI, and Python (Matplotlib, Seaborn, Plotly) for reporting and business intelligence. • Applied SQL for querying, data extraction, and optimizing database performance for large datasets. • Worked with cross-functional teams to understand business problems and provide data-driven solutions. • Deployed models and developed API-based solutions for real-time analytics and decision-making. • Developed and maintained A/B testing frameworks for optimizing product and marketing strategies. • Created comprehensive data reports and documentation for stakeholders, ensuring transparency and reproducibility. • Optimized feature engineering and Hyperparameter tuning to improve model performance. • Implemented cloud-based solutions using AWS/GCP for scalable data processing and model deployment.

• Translate business requirements and hypotheses into actionable analyses and insights, facilitating data-driven decision-making. • Design and present comprehensive reports, delivering key insights to clients for informed business decisions. • Develop interactive dashboards and visual analytics to empower business users to explore and analyze data effectively. • Collaborate with stakeholders to define and document technical requirements, ensuring alignment with business objectives. • Lead presentations and project demonstrations to ensure stakeholder understanding and alignment on business needs. • Handle escalations, driving continuous process improvements to enhance service efficiency and customer satisfaction.