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.

• Partnered with Pfizer's commercial teams to translate business requirements into technical specifications, delivering 15+ Power BI dashboards that tracked $2B+ in pharmaceutical sales, improving executive decision-making speed by 60%.
• Performed advanced statistical analysis using Python (pandas, NumPy, scipy) and R, uncovering sales patterns and market trends through correlation analysis, hypothesis testing, and predictive modeling on datasets with 10M+ records.
• Analyzed multi-channel marketing performance for AstraZeneca, integrating Google Ads, Meta, and programmatic data to identify optimization opportunities that increased campaign ROI by 35% and reduced CAC by $150 per acquisition.
• Developed analytical frameworks to measure digital marketing effectiveness, creating attribution models and conversion funnel analysis that improved organic search performance by 40% for pharmaceutical product pages.
• Architected & maintained enterprise-scale ETL pipelines using Python, SQL, Apache Airflow, processing 500GB+ monthly data from 20+ source systems (ERP, CRM, advertising platforms) into Snowflake data warehouse with 99.9% uptime.
• Optimized database performance through index tuning, query optimization, and stored procedure refactoring, reducing data processing time from 4 hours to 45 minutes while maintaining data integrity across 100+ tables.
• Conducted gap analysis and process mapping for pharmaceutical sales operations, documenting 50+ business processes and recommending automation solutions that saved 200+ manual hours monthly.
• Built automated reporting solutions tracking KPIs across customer journey touchpoints, enabling real-time campaign optimization and contributing to $1.5M in marketing budget efficiency gains through data-driven insights.

• 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.