Open to opportunities

Neha Jhakra

@nehajhakra

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Data analyst skilled in SQL, Python, and BI to automate processes and deliver actionable insights.

India

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What I'm looking for

I seek a data role where I can apply SQL, Python and BI to automate reporting, build predictive models, and deliver dashboards that drive business decisions.

I am a data analyst with hands-on experience in SQL, Python, and BI tools, focused on automation, visualization, and predictive modelling across banking, fintech, and research domains.

At AU Small Finance Bank I built end-to-end fraud detection pipelines and interactive dashboards, improving risk visibility by 40% and automating reporting to reduce manual effort by 30%.

My work includes telecom churn analysis using cohort and survival techniques, machine learning models, and delivery of interactive dashboards that identified key retention patterns.

I also researched quantum-enhanced edge detection during a research internship, documenting reproducible workflows and integrating classical ML with quantum algorithms to advance hybrid analytics.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

AU Small Finance Bank

Oct 2023 - Present (1 year 11 months)

Built end-to-end fraud detection pipeline for 10K+ transactions using SQL feature engineering and ML models, deployed Power BI dashboards that improved risk visibility by 40%. Automated parameterized SQL reporting and Python pipelines, reducing manual effort by 30% and ensuring audit-ready reports.

SQL Python Power BI Logistic Regression Random Forest Data Automation DAX ETL

Data Science Intern

MeitY NIC

Dec 2022 - Jun 2023 (6 months)

Researched quantum-enhanced Hadamard algorithms for edge detection and integrated classical ML techniques, produced reproducible Jupyter workflows and visualizations to advance quantum-classical hybrid analytics.