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Mrudula Kamdi

@mrudulakamdi

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I build reliable datasets, analytics pipelines, and dashboards that turn data into decisions.

India

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What I'm looking for

I'm looking for a data-focused role where I can build reliable datasets, analytics pipelines, and dashboards, apply strong quality standards, and turn research and data into practical business recommendations.

I've prepared model-ready speech data at Micro.ai, cleaning 200+ hours of audio, segmenting 1,000+ utterances, and improving annotation accuracy by 15%+ through structured QA.

During Microsoft’s AICTE Elevate Program, I streamlined clinical-data ingestion, cleaning, and validation across 303 records and 14 features. I built feature-quality metrics that helped lift classification accuracy to about 82% and launched a Gradio app tested across 15+ edge cases.

At PepsiCo India, I managed data collection and validation across 25+ retail channels, identified a 48% market-expansion opportunity, and delivered five-plus corporate intelligence reports for regional sales placement.

I build end-to-end analytics projects with Python, PostgreSQL, Microsoft Fabric, PySpark, and Power BI—from customer-behaviour dashboards to Bronze-Silver-Gold pipelines processing 10,000+ records and SQL analysis across 190+ countries.

Experience

Work history, roles, and key accomplishments

Current

AI Data Trainer — Speech Data

Current

Micro.ai

Jul 2026 - Present (2 months)

Cleaned and preprocessed 200+ hours of raw speech audio, removing noise, silences, and mislabeled clips to build model-ready training data. Segmented long-form audio into 1,000+ utterance-level clips and applied structured QA guidelines to flag mislabeled or low-confidence segments, lifting annotation accuracy by 15%+.

Audio Preprocessing Speech Data Annotation Quality Assurance Data Cleaning Segmentation Transcript Alignment Error Pattern Analysis

Data Analytics Intern

Microsoft

Jan 2026 - Feb 2026 (1 month)

Streamlined ingestion, cleaning, and validation for a 303-record clinical healthcare dataset spanning 14 features. Engineered feature quality metrics that lifted classification model accuracy to ~82% and launched an interactive Gradio web app validating real-time model behavior across 15+ edge cases.

Data Cleaning Data Validation Feature Engineering Classification Gradio Data Quality Clinical Data

Market Research & Data Analysis Intern

PepsiCo India

May 2025 - Jun 2025 (1 month)

Managed end-to-end data collection and validation across 25+ retail channels. Identified a 48% market expansion opportunity through statistical trend analysis of competitive shelf space and delivered 5+ corporate intelligence reports that shaped regional sales placement strategy.

Data Collection Data Validation Statistical Analysis Market Research Trend Analysis Reporting