Madhumitha Natesan

Madhumitha Natesan

About

Detail

Data Analyst | BI Analyst | Power BI (DAX), SQL, Python, Tableau | GenAI & RAG (Vertex AI, Dialogflow CX) | MS Advanced Data Analytics | Canadian PR, Toronto
Toronto, Ontario, Canada
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Résumé

Jobs verified_user 0% verified
  • S
    Senior Analyst
    Jan 2021 - May 2023 (2 years 5 months)
    ∙ Extracted, cleaned, and validated large data from databases using SQL and Excel to support accurate analysis and reporting. ∙ Designed interactive Power BI dashboards using DAX to track TAT, conversion rates, and KPIs, supporting data-driven decisions across business units. ∙ Built standardized SQL transformations and reusable reporting views to ensure consistent KPI definitions across departments. ∙ Automated recurring data extraction and reporting workflows using Python, reducing manual effort by 10% and improving operational efficiency. ∙ Optimized complex SQL queries, reducing dashboard load time and enhancing overall reporting performance. ∙ Collaborated with stakeholders to gather requirements and translate high-level business requi
  • R
    Resource Manager
    Aug 2020 - Jan 2021 (6 months)
    ∙ Led a team of 4 analysts, guiding them in data extraction (SQL), transformation, and visualization in Power BI, ensuring accurate reporting aligned with business needs. ∙ Gathered and documented client requirements to translate hiring needs into actionable recruitment analytics and reports using Excel and MS office. ∙ Collaborated with business stakeholders to gather requirements and translate them into recruitment analytics solutions tailored to hiring needs. ∙ Established strong client relationships by delivering Power BI dashboards that integrated multiple data sources and provided actionable insights for business. ∙ Analyzed historical data and created actionable reports on hiring trends across different roles. ∙ Delivered recurring i
  • VySystems
    Senior Human Resources Analyst
    VySystems
    Oct 2018 - Aug 2020 (1 year 11 months)
    ∙ Collected and analyzed market and recruitment data to identify candidate trends and sourcing performance patterns. ∙ Evaluated job portals and recruitment channels to highlight high-performing sources, improving hiring efficiency and reducing costs. ∙ Built Excel dashboards to track KPIs such as response time (TAT) and candidate quality and sourcing efficiency, giving better visibility to managers. ∙ Maintained and presented analytics reports on candidate performance and sourcing trends, enabling proactive and data-driven hiring strategies. ∙ Worked with managers to turn hiring data into useful insights that improved workforce planning and reduced hiring costs.
Education verified_user 0% verified
  • University of North Texas
    Master's degree, Advanced Data Analytics
    University of North Texas
    Jan 2024 - Dec 2025 (2 years)
  • Anna University Chennai
    BE - Bachelor of Engineering, Computer Science
    Anna University Chennai
    Jan 2014 - Dec 2018 (5 years)
Projects (professional or personal) verified_user 0% verified
  • C
    CHIRON - A Conversational Agent for Mental Health Support
    Oct 2025 - Nov 2025 (2 months)
    • Created a mental health support agent using Dialogflow CX and Vertex AI that can handle complex conversations and provide empathetic support. • Developed custom tools to prevent model hallucinations and used grounding to ensure every response is based on verified health resources. • Integrated Speech-to-Text and Sentiment Analysis so the AI can understand a user’s voice and detect their emotional state to respond naturally.
  • A
    Analysis of Railroad Derailments in the USA - Large-Scale Safety Analytics
    Aug 2025 - Dec 2025 (5 months)
    • Built an end-to-end data processing pipeline using Python and SQL to ingest, clean, transform 50K+ railroad incident records from multiple government data sources into a unified, analysis-ready schema. • Designed aggregation logic and dimensional data models to power Tableau dashboards for statistical analysis and risk assessment, delivering actionable safety insights to stakeholders.
  • E
    EventEase - Event Management Platform
    May 2024 - Jul 2024 (3 months)
    - As a Backend Developer, I designed the MySQL schema and ERD, modeled core entities and relationships for EventEase. - Built Flask with SQLAlchemy domain models and REST APIs, implemented CRUD for users, events, sessions and registration. - Implemented email notifications and reminders for event updates such as schedule changes and cancellations. - Collaborated with the React frontend to integrate APIs for registration and event management.