Avinashreddy Polamreddy
London,ENG
Summary
• Proficient in data analytics, visualization, and automation to drive process improvements and actionable insights
• Experienced in leveraging advanced tools like Python, SQL, and Power BI to solve complex problems
• Adept at collaborating with cross-functional teams and optimizing workflows for operational efficiency
Overview
6
6
years of post-secondary education
Work history
Data Analyst
BrainoVision
01.2022 - 05.2022
- Conducted data collection and data cleaning to ensure data accuracy
- Collaborated with a team to perform exploratory data analysis using MySQL
- Utilized various BI tools such as Power BI and Tableau to create interactive visualizations and dashboards for reporting insights
- Learned and worked on advanced Excel functions and formulas, pivot tables, slicers, power query, DAX
- Certified internship in various programming languages such as R and Python
- Assisted in developing data-driven solutions to optimize business processes
- Presented findings and recommendations to stakeholders
Education
Master of Science - Data Science and Analytics
University of Hertfordshire
Hatfield 01.2023 - 01.2025
Bachelor of Technology - Computer Science
VELLORE INSTITUTE OF TECHNOLOGY
Amaravathi, AP 08.2018 - 07.2022
Skills
Programming Languages: Python (Pandas, NumPy, Scikit-learn, TensorFlow, NLTK), PySpark, R
Analytical Tools: SAS, Stata, MS Excel, R Studio, ALteryx, Apache Spark
Databases: MySQL, PostgreSQL, Snowflake, DataBricks, Google Bigquery
Data Visualization: Power BI, Tableau, Matplotlib, Seaborn, ggplot2
Cloud Platforms: Azure, AWS,
Academic Projects
Customer segmentation using machine learning
- Developed a customer segmentation model using machine learning, improving targeted marketing efficiency by 30%.
- Preprocessed and analyzed transactional data using Python (Pandas, NumPy) for better insights.
- Created interactive Power BI dashboards to visualize customer segments and support data-driven marketing decisions.
Fraud Detection System
- Developed a real-time fraud detection system using machine learning models, improving detection accuracy by 20%.
- Built ETL pipelines to process transactional data and analyze patterns for anomaly detection.
- Created interactive Tableau dashboards to visualize fraud trends and provide insights for cybersecurity teams.
Timeline
Master of Science - Data Science and Analytics
University of Hertfordshire
01.2023 - 01.2025
Data Analyst
BrainoVision
01.2022 - 05.2022
Bachelor of Technology - Computer Science
VELLORE INSTITUTE OF TECHNOLOGY
08.2018 - 07.2022
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