Analytical and detail-oriented Data Analyst with over 5 years of experience applying Python, SQL, and ETL processes to build scalable data solutions. Expertise in data cleaning, statistical analysis, predictive modeling, and data visualization using Tableau and Power BI. Demonstrated success in transforming complex datasets into actionable insights that drive decision-making across industries. Adept at automating workflows with Azure and Streamlit and optimizing large-scale data operations through tools like Apache Spark and Hadoop. Known for collaborating cross-functionally to meet business objectives and improve operational efficiency by leveraging machine learning algorithms and NLP techniques.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Data Analyst Intern
Illinois Department of Child and Family Services
Springfield, IL
01.2023 - 05.2024
Improved data accuracy by 30% through the adoption of advanced collection methodologies for demographic analysis
Optimized university meal planning efficiency by 25% through trend analysis and predictive modeling of student preferences
Managed 500,000+ SQL records to support cross-departmental research, reducing data retrieval time by 15%
Developed dynamic dashboards with Power BI, leading to 20% higher stakeholder engagement during strategy sessions
Jr. Data Analyst
Cognizant Technology Solutions
Kolkata, India
01.2020 - 10.2022
Automated model training pipelines via Azure Machine Learning, reducing manual intervention by 30%
Designed a collaborative filtering recommendation system, improving client portfolio recommendations by 12%
Streamlined ETL processes using Azure Data Factory to automate data ingestion from financial sources
Utilized NLP to enhance predictive models, delivering more accurate forecasts of mutual fund trends
Data Analyst
Edugrad
Hyderabad, India
02.2018 - 02.2019
Enhanced algorithm performance by 40% by optimizing Spark and Hadoop systems
Spearheaded the development of NLP models for topic extraction, achieving 30% improvement in model accuracy
Created dashboards and reports for decision-makers, simplifying complex data insights for non-technical stakeholders