About
Highly analytical and detail-oriented Data Analyst with a strong foundation in statistical analysis, data visualization, and database management. Proven ability to translate complex datasets into actionable insights, driving informed business decisions and optimizing operational efficiency. Eager to leverage expertise in SQL, Python, and advanced Excel to contribute to a dynamic team and solve challenging data problems in the target industry.
Work
San Francisco, California, US
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Summary
Analyzed complex datasets to provide actionable insights, supporting strategic decision-making and improving operational performance for a leading technology firm.
Highlights
Developed and maintained SQL queries and Python scripts to extract, clean, and transform large datasets from various sources, reducing data preparation time by 25% for recurring reports.
Created interactive dashboards and visualizations using Tableau and Power BI, enabling stakeholders to monitor key performance indicators (KPIs) and identify trends, leading to a 15% improvement in departmental goal tracking.
Performed in-depth statistical analysis on customer behavior data, identifying key drivers of churn and contributing to a 10% reduction in customer attrition over six months.
Collaborated with cross-functional teams to define data requirements and deliver customized reports, facilitating data-driven strategies that increased marketing campaign effectiveness by 18%.
Austin, Texas, US
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Summary
Supported senior analysts in data collection, cleaning, and preliminary analysis to derive initial insights for client projects.
Highlights
Assisted in gathering and cleaning raw data from diverse sources, ensuring data integrity and accuracy for over 5 major client projects.
Generated weekly and monthly reports using Excel and basic SQL queries, providing foundational data for management reviews and operational adjustments.
Contributed to the development of a standardized reporting template, which improved report consistency and reduced manual effort by approximately 5 hours per week.
Learned and applied fundamental data analysis techniques, including descriptive statistics and trend analysis, under the guidance of senior team members.
Education
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Bachelor of Science
Data Science
Grade: 3.8/4.0
Courses
Statistical Methods for Data Science
Database Management Systems
Machine Learning Fundamentals
Data Visualization and Communication
Programming for Data Analysis (Python/R)
Languages
English
Telugu
Skills
Programming & Databases
Python, SQL, R, Pandas, NumPy, Scikit-learn, PostgreSQL, MySQL, NoSQL (basic).
Data Analysis & Visualization
Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Regression Analysis, Hypothesis Testing, Tableau, Power BI, Excel (Advanced), Matplotlib, Seaborn.
Tools & Platforms
Jupyter Notebooks, Google Sheets, Microsoft Office Suite, Git, GitHub, Cloud Platforms (AWS S3, Google Cloud Storage - basic).
Soft Skills
Problem-Solving, Critical Thinking, Communication, Cross-functional Collaboration, Attention to Detail, Report Writing, Presentation Skills.
Interests
Technology
AI, Machine Learning, Big Data.
Sports
Cricket, Basketball.