Ravjot Kaur
@ravjotkaur
Data analyst/scientist delivering ML-driven insights, scalable pipelines, and Power BI solutions.
What I'm looking for
I am a data analyst/scientist with hands-on experience building scalable data pipelines, end-to-end analytics, and ML-driven predictions using SQL, Python, Power BI, Snowflake and BigQuery. I have delivered production dashboards and models for banking risk and retail analytics, improving reporting speed and prediction accuracy.
At Accenture I designed star-schema data models, optimized SQL queries to cut refresh times dramatically, built 10+ Power BI dashboards, and implemented automated data quality checks that reduced manual validation effort significantly. My projects include forecasting delinquency and default risk, applying regression and ARIMA models, and defining regulatory-ready financial metrics.
I also developed AI and NLP solutions—an HR chatbot that automated 200+ monthly queries and NLP pipelines with 92% accuracy—and built multiple end-to-end analytics pipelines for cryptocurrency and sales analytics that drove faster decisions and uncovered revenue opportunities.
Experience
Work history, roles, and key accomplishments
Data Analyst
Accenture
Aug 2024 - Aug 2025 (1 year)
Delivered 10+ Power BI dashboards and optimized star-schema data models and SQL, reducing refresh time from 15 minutes to under 2 minutes and improving reporting speed by 40%. Applied ML forecasting to predict delinquency and EMI default risk, improving accuracy by 18% and automated data quality checks to cut manual validation effort by 60%.
Data Science Intern
Sabudh Foundation
Jul 2023 - Jun 2024 (11 months)
Developed an AI-powered HR chatbot using Rasa, Python, and MongoDB that automated 200+ monthly queries and reduced HR workload by 40%, and built NLP pipelines for intent classification and entity extraction achieving 92% accuracy on 1,500+ samples.
Education
Degrees, certifications, and relevant coursework
Guru Nanak Dev University
Bachelor of Technology, Computer Science Engineering
2020 - 2024
Grade: 8.40/10
Completed a Bachelor of Technology in Computer Science Engineering with a CGPA of 8.40/10, focusing on software engineering, data analysis, and machine learning applications.
Availability
Location
Authorized to work in
Job categories
Skills
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