Anudeep Polagoni
Dallas,Texas
Summary
Experienced Data Analyst with over 5 years of experience working with large datasets to deliver actionable insights and support strategic decision-making. Proven expertise in data visualization, statistical analysis, and database management across multiple industries. Adept at translating complex data into meaningful narratives to enhance business performance. Successfully collaborated with two major clients, providing customized data solutions that improved operational efficiency and increased revenue.
Overview
7
7
years of professional experience
Work History
SQL/ Tableau – Teaching Assistant
University of North Texas
2023.01 - 2024.05
- Developed and Automated reports for grade generation and emailing using Excel and Python scripts to save 6 hours of weekly efforts on score and attendance aggregation from 5 platforms
- Taught data analytics and web development courses using Python, SQL, Seaborn, Tableau, Power BI
- Managed and taught data analytics courses in a fast-paced academic environment, consistently meeting tight deadlines while improving student engagement by 25%
Lead Analyst
Better.com
2021.08 - 2022.03
- Performed data cleaning, transformation, and aggregation to prepare datasets for analysis and modeling using Python (Pandas, NumPy), leveraging Amazon cloud services for scalable and efficient data processing
- Instrumental in development significantly contributing to cost saving of approximately $4.5M
- Expertly designed and executed complex SQL queries, significantly enhancing database performance by 85%
- Ensured 99.9% defect-free post-deployment operation, significantly reducing downtime and improving system reliability with help of Amazon cloud infrastructure
- Developed and deployed machine learning models (SVM, Random Forest, LSTM, RNN, CNN) using Amazon Sage Maker for trend prediction, classification, and pattern discovery in complex datasets
- Conducted statistical analysis and hypothesis testing using Pythons SciPy and Stats models, leveraging Amazon cloud resources for scalable computation
- Implemented DAX (Data Analysis Expressions) for complex calculations and data analysis within Power BI, integrating with data stored on Amazon S3 and other cloud storage solutions
- Utilized big data technologies like Hadoop and Spark for processing and analyzing large volumes of data stored in Amazon S3, leveraging Amazon EMR for scalable data processing.
Business Analyst- Marketing
Merkle Sokrati
2020.08 - 2021.08
- Utilized Python and SQL to perform complex data extractions and transformations, automating routine tasks to reduce manual work by 25%
- Developed interactive Tableau dashboards to visualize key performance indicators (KPIs) for client management teams, providing real-time insights into sales performance and customer behavior
- Analyzed campaign performance with a focus on digital advertising and e-commerce, using SQL queries, SAS, and machine learning algorithms
- Led segmentation design and quota setting, resulting in a 38% increase in CTR and optimized targeting strategies
- Conducted predictive analysis using machine learning models such as logistic regression and decision trees to improve marketing ROI and KPI metrics reporting
- Optimized Enterprise Data Warehousing, improving data retrieval speeds by 42%, leading to faster decision-making in marketing campaigns
- Managed and cleaned large datasets, ensuring the accuracy and integrity of information in SQL databases
- Presented data-driven insights to senior leadership and external stakeholders, improving data accessibility and enhancing strategic decision-making
- Collaborated with cross-functional teams to design and implement new data collection processes, improving data quality and report accuracy by 30%
- Conducted in-depth data analysis for clients in the retail and finance sectors, providing recommendations that improved revenue generation by 10%
- Assisted in developing forecasting models using R and Excel to predict customer behavior and sales trends, leading to more accurate demand planning.
Data Analyst – Business Development
Byjus
2019.12 - 2020.08
- Implemented a churn prediction model using logistic regression and random forest, reducing customer churn by 15% and retaining $5M in annual revenue
- Conducted A/B testing for new product features using Python and SQL, resulting in a 12% increase in user engagement and a 27% lift in conversion rates, which led to a 10% enrollment increase by identifying high-potential regions and products
- Leveraged SQL to analyze sales data, utilizing complex queries and data visualization presentation, deliver recommendations to multiple levels of leadership, optimizing strategies and boosting learning outcomes by 18% and sales conversion by 5%.
Data Analyst – Strategy
KL Radio
2017.08 - 2019.08
- Analyzed financial and marketing data sets at Kl Radio using Advanced Excel with VBA and SQL, employing pivot tables, complex formulas, and queries to identify revenue roadblocks and trends, resulting in an increase in revenue and meeting ongoing scaled deliverables
- Led cross-functional teams and strategic campaigns at Kl Radio, conducting market research and analysis using Python for data modeling and visualization
- Performed performance tracking, resulting in a 15% improvement in revenue performance.
Education
Master of Science - Information Systems And Technology
G. Brint Ryan College of Business, UNT, Texas
Denton, TX05.2024
Skills
- Programming Languages: Python, R, SQL, PL/SQL, MySQL, PostgreSQL, Oracle
- Data Manipulation & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Kafka, Airflow, Snowflake, Tableau, Power BI, Looker
- Cloud Platforms: AWS, Microsoft Azure, GCP
- Big Data Technologies: YARN, Hive, Spark, Apache Kafka, MongoDB, Cassandra, DynamoDB
- NoSQL Databases: MongoDB, Cassandra, HBase, DynamoDB, Redis
- Cloud Computing Tools: AWS (S3, EC2, Lambda, Cloud Watch), Microsoft Azure
- Monitoring & Logging: ELK stack (Elasticsearch, Logstash, Kibana), Prometheus, Splunk
- DevOps Tools: J Jenkins, Docker, Kubernetes, AWS Code Pipeline, AWS Lambda, Azure DevOps
- ETL Tools: Apache NiFi, Talend, Pentaho, Informatica, Ab Initio, SSIS
- Business Intelligence Tools: Tableau, Power BI
- Methodologies: CI/CD, Agile, Scrum
- Statistics & Machine Learning: Logistic Regression, Linear Regression, Random Forest, Decision Trees, Predictive Analytics, TensorFlow, scikit-learn
- Infrastructure as Code (IaC): Terraform, CloudFormation, Serverless Framework
Timeline
SQL/ Tableau – Teaching Assistant
University of North Texas
2023.01 - 2024.05
Lead Analyst
Better.com
2021.08 - 2022.03
Business Analyst- Marketing
Merkle Sokrati
2020.08 - 2021.08
Data Analyst – Business Development
Byjus
2019.12 - 2020.08
Data Analyst – Strategy
KL Radio
2017.08 - 2019.08
Master of Science - Information Systems And Technology
G. Brint Ryan College of Business, UNT, Texas
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