Nisha Choudhary
Data Analytics @EXL
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WORK HISTORY
Data Analytics @EXL
Noida, IN
Applied analytical skills and problem-solving to optimize 20+ complex SQL queries across MySQL, PostgreSQL, and MS SQL, cutting average execution time by 28% and boosting report performance.Designed and delivered business intelligence Power BI data visualization dashboards tracking 10+ business KPIs, helping reduce banking transaction errors by 15% and improving decision accuracy.Automated data analysis workflow using Python (RegEx-based classification), saving over 10 hours weekly for business teams and improving operational visibility.Implemented a data modeling solution with XGBoost Regression model for time-series-based resource forecasting, predicting next 12 months’ resource demand using historical features such as skills, band, and headcount trends.Performed NLP-based data processing and exploratory data analysis on unstructured skill records, enabling structured skill data analytics and workforce insights.Built interactive BI dashboard using Streamlit, enabling real-time operational monitoring and data interpretation, reducing manual reporting effort by 40%.Maintained data warehouse ETL pipelines using AWS Glue and Lambda, integrating multi-source data and improving report delivery timelines by 20%.Led stakeholder management initiatives, partnering with business stakeholders to ensure data governance, reporting accuracy, and consistency, using analytical thinking to align reporting with business needs and track deliverables in Jira.
EDUCATION
Motilal Nehru National Institute Of Technology
Bachelor of Technology - BTech, Civil Engineering, CGPA-7.87
ABOUT NISHA CHOUDHARY
I’m a Data Professional with around 2.8 years of experience turning complex data into actionable insights. I work extensively with SQL, Python, Power BI, and AWS to build dashboards, automate workflows, and develop scalable data pipelines. My experience includes optimizing SQL queries, designing KPI dashboards, processing unstructured data using NLP techniques, and building predictive models for business forecasting. I enjoy solving real business problems through data, improving reporting efficiency, and enabling data-driven decision making. I have worked closely with stakeholders to ensure data accuracy, governance, and meaningful insights that support strategic and operational goals. I’m always eager to learn new technologies and grow in analytics.
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