Data Analyst with 3 years of experience in customer service and business analytics. Successfully enhanced customer satisfaction by 20% through data-driven insights and optimized service processes by 15%. Proficient in R programming, SQL, AWS, Python, and Tableau for actionable reporting and analysis. Eager to leverage expertise in data analysis to support debt portfolio, pricing, risk assessment, and recovery rate evaluations.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Analyst
Accenture PVT LTD
01.2021 - 04.2022
Analyzed and interpreted customer data to identify patterns, trends, and opportunities
Developed and delivered comprehensive data reports to support business decisions and enhance business
practices
Utilized SQL to efficiently query databases, extract relevant information, and answer business questions
Conducted root cause analysis on customer complaints, implemented effective solutions, and enhanced
customer satisfaction by 20%
Collected, cleaned, and organized data from various sources to ensure accuracy and quality
Maintained comprehensive records of customer interactions, streamlining service processes and improving
efficiency by 15%
Conducted regular audits of data processes to ensure data integrity and compliance with company
standards
Delivered exceptional service by addressing concerns and crafting tailored solutions,
significantly strengthening customer loyalty
Presented insights and findings to stakeholders through clear visualizations and reports
Participated in regular team meetings to discuss data findings and provide recommendations for operational
improvements
Contributed to the creation of user-friendly documentation and guides for data procedures, enhancing
team efficiency and knowledge sharing.
Data Analyst Intern
Nanobi Data And Analytics Pvt Ltd
09.2019 - 06.2020
Extracted, cleaned, and processed large datasets using SQL and Python, ensuring high data quality
Designed and developed Tableau dashboards and visual reports for stakeholders
Applied statistical techniques and models in Python to uncover insights and support decision-making
Conducted data validation and cleansing to ensure dataset accuracy
Supported data migration projects,
ensuring smooth data transition and integrity
Assisted in developing machine learning models to predict customer behavior and optimize marketing
Monitored and maintained data pipelines for continuous data flow
Optimized SQL queries, reducing data
processing time by 30%
Participated in designing and implementing ETL pipelines for data integration
Developed automation
scripts for data processing, reducing manual workload by 40%
Collaborated with solution architects and tech teams to deliver tailored analytics solutions
Delivered insights
that improved business decision-making by 15%.
Business Analyst Intern
Log9 Materials
03.2018 - 01.2019
Collected and compiled data from diverse sources, ensuring accuracy and completeness, forming a
reliable foundation for analysis
Streamlined the data entry process, reducing errors by 20% and
significantly improving overall efficiency
Conducted essential data cleaning and validation checks, ensuring high-quality and reliable datasets
Developed comprehensive datasets utilized by senior analysts for advanced analysis and decision-
making
Assisted in creating visualizations and reports using Excel, enhancing the clarity and presentation of data
findings
Supported the senior analyst team in preparing presentations and reports for client meetings,
contributing to clear communication of data insights
Helped in preparing financial models to project future revenue and expense trends, aiding in budget
planning
Participated in team meetings to discuss project progress and offer input based on data findings
and market research
Conducted market research to gather industry trends and competitor information, providing valuable
insights for strategic planning
Conducted surveys and compiled feedback from stakeholders, contributing to
a better understanding of user needs and preferences.
Education
Master’s - business analytics
Mercer University
Bachelor’s - business administration
Acharya Bangalore Business School
Bangalore, Karnataka
Skills
TECHNICAL SKILLS
Data Analysis: SQL, R Programming, Microsoft Excel, Data Cleaning, Data Visualization, Data Modeling
Programming Languages: Python, SQL, R Programming
Marketing: Digital Marketing, Google Data Analytics
1. Google Data Analytics – Professional certificate
2. Digital Marketing Certificate
3. Google Business Intelligence – Professional Certificate
4. My SQL