Drashti M.

About Drashti M.

As a Data Science Consultant at Hussmann, I specialize in transforming complex business requirements into advanced data science solutions and actionable insights. With a strong foundation in SQL, Python, SSAS, Azure Analysis Services, and Databricks, I build and maintain predictive models, data pipelines, and interactive dashboards that empower decision-making across various departments. My focus includes developing machine learning models, performing advanced analytics, and optimizing data workflows to meet specific business KPIs.Previously, as a Business Intelligence Developer at Hussmann, I built comprehensive data models using SQL, SSAS, and Power BI, designed advanced dashboards, and significantly improved business processes by automating data aggregation and reporting. My expertise includes writing DAX expressions, validating data, and visualizing complex datasets for key stakeholders.In addition to my professional experience, I hold a Master of Science in Artificial Intelligence from the University of the Cumberlands, where I graduated with a 3.9 GPA. I am passionate about leveraging data science to solve complex business problems, predict outcomes, and drive innovation. My goal is to continue expanding my skill set and contribute to the development of cutting-edge, data-driven solutions in both leadership roles and entrepreneurial ventures.

Experience

1. Data Science Consultant

   Hussmann

   Aug 2024 — Present

   Partner with stakeholders to gather business requirements and translate them into comprehensive technical specifications- Automate and streamline workflows, reducing manual effort by 30–40 hours per month per dashboard, significantly improving operational efficiency- Design and optimize ETL pipelines using Python, SQL, and cloud platforms (AWS/Azure) to automate data ingestion and transformation- Develop SQL-based data models and stored procedures, ensuring seamless data integration across platforms- Led data validation and quality assurance efforts, ensuring accuracy in migrated datasets for cloud-based architectures- Develop sophisticated data models and calculations using DAX, and Azure Analytics, enabling deeper cross-departmental insights and strategic planning- Develop and deploy machine learning models for predictive analytics, optimizing business operations and reducing inefficiencies by 15%- Create anomaly detection models that improve servicing of product, leading to significant improvement in customer experience by avoiding equipment downtime- Engineer and maintain scalable predictive models, leveraging AWS infrastructure to enhance data processing efficiency, streamline deployment, and ensure high availability- Build interactive Power BI dashboards to visualize complex datasets, helping executives make data-driven decisions- Write DAX calculations and Power Query scripts to enhance Power BI report functionality and efficiency- Implement row-level security (RLS) and performance optimization techniques in Power BI to handle large datasets efficiently- Design and manage dynamic Power BI dashboards and reports, incorporating advanced visualizations, drill-down capabilities, and KPI tracking to deliver actionable insights on resource allocation, sales performance, and product lifecycle management.

Education

• University of the Cumberlands

  Master's degree, Artificial Intelligence

• Rutgers University

  Bachelor's degree, Computer Science