Open to opportunities

Meenal Jain

@meenaljain

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Data analyst specializing in NLP, A/B testing, and actionable BI to drive product and revenue growth.

India

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What I'm looking for

I seek a data role where I can apply NLP and experimentation to influence product decisions, work with cross-functional teams, and grow in ML/BI impact.

I am a data analyst with hands-on experience building NLP pipelines and deploying insights to improve user outcomes. At Mindustrious Tech I designed and deployed Transformer-based sentiment models (DistilBERT) and used interpretability techniques to extract actionable signals.

I drive product optimization through rigorous experimentation and statistical validation, managing high-velocity A/B testing programs that improved conversions and supported multimillion-dollar revenue impact. I also ensure data integrity through SRM checks and careful statistical analysis.

Previously at DevHub Tech I analyzed sales and customer segments using SQL and Excel, and built Power BI dashboards to deliver real-time insights and reduce reporting time, enabling faster data-driven decisions.

I combine technical proficiency in Python, NLP toolkits, ML modeling, and BI tools with a strong foundation in statistics and data management to translate complex data into clear business value.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Mindustrious Tech

Apr 2024 - Present (1 year 9 months)

Designed and deployed an end-to-end NLP pipeline using DistilBERT and contextual embeddings for superior sentiment classification; used SHAP and NER for interpretability and insight extraction, delivering dashboards that enabled 40% faster content revision and a 20% increase in student satisfaction. Managed A/B testing across key user funnels, applied rigorous statistical analysis and SRM checks,

Python DistilBERT SHAP NER A B Testing Statistical Analysis Power BI

Data Analyst

DevHub Tech

Jan 2023 - Mar 2024 (1 year 2 months)

Analyzed monthly sales and customer segment data using SQL and Excel to identify top products and seasonal trends; developed Power BI dashboards that reduced reporting time and enabled faster data-driven decisions. Delivered actionable sales and customer insights to support business planning and performance improvements.