About me

I am a Power BI Developer, Data Analytics Professional, and Trainer from Bangalore, India, with over 3 years of experience in Power BI, SQL, Python, Tableau, and Azure Data Engineering. I specialize in transforming raw data into actionable insights through interactive dashboards, scalable data solutions, and automated workflows that empower smarter decision-making.

At Analogica, I have delivered impactful analytics solutions, including advanced dashboards for the Teal Group (USA) to support global armaments export forecasting. I have also mentored professionals from diverse non-IT backgrounds, helping them transition into Data analytics with practical, hands-on guidance.

As a Data Analytics Trainer with Certisured, I have successfully conducted 30+ batches and 25+ workshops, including two specialized workshops at the Naval War College (INS Mandovi, Goa) for naval commanders and officers, showcasing real-world applications of Power BI in defense and strategic operations.

I am passionate about bridging the gap between data and strategy, ensuring that every project I deliver is not only accurate and reliable but also visual, intuitive, and business-ready. With a commitment to continuous learning, I stay at the forefront of industry trends to design innovative data-driven solutions that create real business value.

What I'm Doing

  • data engineering icon

    Data Engineering

    Designing and managing ETL pipelines, integrating multiple data sources, and preparing datasets for reporting and analysis.

  • SQL icon

    Data Analytics

    Analyzing datasets using SQL, Excel, and Python to uncover trends and support data-driven decision making.

  • Power BI icon

    Power BI Development

    Building interactive dashboards, data models, and reports that transform raw data into meaningful business insights.

  • training icon

    Training & Mentorship

    Conducting workshops and training programs on Power BI, SQL, and Data Analytics for professionals and students.

Skills

  • Python

    Programming / Scripting

    Python Programming – Proficient in Python for data extraction, cleaning, and transformation, developing ETL pipelines, performing statistical analysis, automating repetitive workflows, and supporting data modeling and predictive analytics. Experienced with libraries and frameworks such as pandas, NumPy, PySpark, scikit-learn, and Plotly for processing large-scale structured and unstructured datasets efficiently.

  • Jessica miller

    Data Warehousing

    Experienced in building and managing data warehouses using platforms like Snowflake, Redshift, BigQuery, or Synapse for scalable analytics solutions.

  • Emily evans

    Data Analysis

    Skilled in analyzing large datasets, identifying trends, and translating raw data into actionable business insights.

  • Henry william

    Data Visualization

    Proficient in creating interactive dashboards and visual reports using Power BI, Tableau, or Looker to communicate insights effectively.

  • SQL & Database Knowledge

    SQL & Database

    Proficient in writing complex SQL queries, designing schemas, and managing relational databases to extract and organize critical data efficiently.

  • Business Acumen

    Business Acumen

    Strong understanding of KPIs, business processes, and strategic objectives to align data solutions with organizational goals.

  • ETL / Data Pipelines

    ETL / Data Pipelines

    Skilled in designing and maintaining ETL workflows for reliable data integration and transformation across multiple systems.

  • Statistics & Critical Thinking

    Statistics & Critical Thinking

    Proficient in applying statistical methods, performing hypothesis testing, and solving complex business problems with analytical reasoning.

  • Communication Skills

    Communication Skills

    Excellent at presenting findings and insights to stakeholders clearly, both in writing and verbally, facilitating data-driven decisions.

  • Data Cleaning & Quality Assurance

    Data Cleaning & Quality Assurance

    Skilled in identifying, cleaning, and validating datasets to ensure accuracy, consistency, and reliability of analysis.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Tools & Technologies