Hey, I'm Mohit Ravindra Kamble,

Specializing in advanced statistical modeling, machine learning, and business intelligence. Comprehensive coursework includes Predictive Analytics, Data Mining, Big Data Systems, Business Analytics, Marketing Research Analytics, Healthcare Analytics, Financial Data Analysis, and Operations Research. Applying theoretical knowledge through real-world projects with City of Boston and Fortune 500 companies across healthcare, pharmaceutical, retail, and marketing domains. Developing expertise in end-to-end analytics solutions from data engineering to predictive modeling and executive dashboarding.

Comprehensive software engineering foundation with focus on database management, programming, data structures, and system design. Developed expertise in SQL, statistical programming, and algorithmic thinking through coursework in Business Intelligence Systems, Data Warehousing, Machine Learning Fundamentals, and Information Retrieval. Built strong analytical, problem-solving, and data modeling skills that provided the technical foundation for my transition into business analytics. Completed projects involving ETL development, dashboard creation, and predictive modeling that sparked my passion for transforming data into actionable business insights.

• Building AI-powered data pipelines and implementing machine learning models to transform raw data from multiple sources into actionable business insights, automating data cleaning and pattern recognition processes.
• Developing predictive analytics solutions using statistical and deep learning techniques to forecast trends, detect anomalies, and optimize strategic decision-making across business functions.
• Creating intelligent dashboards with NLP-driven insights and real-time ML algorithms while writing complex SQL queries to extract and manipulate data from enterprise databases.
• Collaborating with cross-functional teams to integrate AI solutions into existing data infrastructure, delivering automated insights that drive business value and operational efficiency.

• Developed 20+ Power BI dashboards, Power Apps solutions, and Power Automate workflows while writing advanced T-SQL queries and stored procedures to analyze large healthcare datasets (>1M records), collaborating with stakeholders to translate business requirements into technical specifications that reduced administrative costs by 30%.
• Designed scalable data models in Azure Databricks/PySpark and implemented ETL processes via Azure Synapse Analytics and SSIS, integrating Oracle, SQL Server, and SAS data to build enterprise BI solutions using SSRS and Qlik View for Medicaid-similar healthcare analytics.
• Performed advanced data analysis to identify trends and patterns, presenting actionable insights to executive leadership that drove 16% improvement in business performance while mentoring 2 junior team members on T-SQL, Power Platform development, and stored procedure optimization.
• Implemented Agile methodologies with Azure DevOps for BI project delivery, conducting root cause analysis (RCA) to improve data quality and developing process documentation that ensured scalable, maintainable healthcare analytics solutions across the enterprise.

• Analyzing surveillance data and security patterns to identify potential risks and optimize campus safety protocols.
• Serving as liaison between residents and university resources, facilitating data-driven incident reporting and resolution.
• Collaborating with Public Safety Division, Housing Services, and Northeastern Police to maintain secure living environments.
• Implementing access control measures and conducting systematic security assessments to ensure policy compliance.

• Orchestrated 20+ integrated marketing campaigns across email, social, and paid channels, leveraging A/B testing and conversion funnel analysis to achieve 3.5x ROI improvement and 65% increase in event registrations through data-driven campaign optimization.
• Built real-time campaign performance dashboards tracking CAC, LTV, and attribution metrics across digital touchpoints, implementing SEO-optimized content strategies that drove 40% organic traffic growth and reduced paid acquisition costs by $30K annually.