ANALYST
Resume:
DINEESHA CHIGURUPATI
Demonstrates strong analytical, communication, and
teamwork skills, with a proven ability quickly adapt to new environments. Ready to enhance team success and grow professional skills. Brings a cheerful outlook and commitment to continuous learning and growth.
PROJECTS
Customer Sales Analysis:
● Utilized SQL to extract data from eight different related tables from customer sales databases using JOIN and VIEW
● Transformed and filtered data by using aggregating and filtering functions to improve the reporting process.
● Loaded and visualized data with Python to identify key business intelligence that can improve sales performance. Social Media Sentiment Analysis:
● Built a database to analyze user sentiments on social media for a marketing firm.
● Collected and stored unstructured social media comments in a NoSQL database.
● Designed SQL queries to categorize sentiments.
● Created Power BI dashboards to visualize engagement trends.
● Optimized ad campaigns and improved brand engagement strategies.
Fraud Detection in Banking Transactions:
● Built a real-time database system to detect fraudulent banking transactions.
● Collected and cleaned transactional data. Designed SQL queries to identify suspicious transactions by frequency, amount, and location mismatch. Created Power BI
visualizations to display fraud trends and automate reports.
● Achieved 20% faster fraud detection, reducing losses. CONTACT
• Lisle, IL 60532
• ***********@*****.***
SKILLS
• Data Analysis: Python
(Pandas, NumPy), NLP (NLTK,
SpaCy), SQL, Power BI, Excel
• Data Modeling: Statistical
Analysis, Predictive Modeling,
Regression Analysis, Time Series
Analysis, Machine Learning
Algorithms
• Data Mining
• Data Visualization
• Programming
• Data Management
• Data Warehouse
Techniques:
• Data Analytics
• Statistical Data Analysis
(Regression Analysis, Hypothesis
Testing, Time Series Analysis)
EDUCATION
Bachelor of Technology, 2017-2021
Sridevi Women’s Engineering
College, Hyderabad, India
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