Dhivya Kannan

Dhivya Kannan

BCA graduate · Data Analyst · ETL and AI data pipelines

Tiruppur, Tamil Nadu, India

@dhivya_kannan

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About

Recent BCA graduate and data analyst with internship experience building ETL pipelines, data extraction workflows, and AI-driven data pipelines using Python. Skilled in SQL, MongoDB, Pandas, and Power BI with strong attention to detail and a fast-learning mindset.

Experience

  • Data Analyst Trainee (Internship)
    ManTechserv · Tirupur, Tamil Nadu
    Feb 2026 – Aug 2026

    Built ETL pipelines to integrate data from multiple sources, performed data cleaning, data validation, and deduplication on raw datasets, applied exploratory data analysis and data quality assurance, and built interactive Power BI dashboards using SQL to track KPIs and generate insights.

Education

Skills

Tools / apps / platforms

6 to 12 months 6 to 12 months Most of a year behind them.
Microsoft Power BI
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
MySQL MongoDB ChromaDB Microsoft Excel Microsoft PowerShell

Projects

  • Python, Pandas, REST APIs, Automation

    Built an end-to-end ETL pipeline using Python and REST APIs (JSearch API) for data extraction from 5+ job portals, processing 200+ job postings across 20+ roles and 45+ companies. Automated the complete data workflow from extraction to dashboard generation and built a Matplotlib dashboard with 9+ visuals and dynamic filters.

  • Python, Power BI, Automation

    Built an end-to-end ETL pipeline using Python, BeautifulSoup, Requests, JSON, and PowerShell to scrape and consolidate interest rate data from 5 major Indian banks. Automated the workflow from scraping to dashboard refresh and designed an interactive Power BI dashboard with 8+ visuals and dynamic slicers.

  • Python, ChromaDB, Gemini API, Streamlit

    Built an end-to-end AI data pipeline in Python with web scraping, embeddings, vector search, LLM generation, and an interactive Streamlit UI. Applied prompt engineering to ensure grounded, citation-based answers and reduce hallucination.

  • Python, MongoDB, Power BI, Machine Learning

    Developed a Python ETL process to clean, simulate, and migrate transactional records into MongoDB, engineered a machine learning pipeline (Random Forest) to predict customer churn, and built a 5-page interactive Power BI dashboard using advanced DAX and star schema architecture.

Courses & certifications

  • AI Data Analytics Certification (Data Analytics Course) · Pumo Innovation

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