# Aczxenius Avro - Data Science & Business Analytics Professional
Source: https://hello.cv/aczxeniusavro
Chicago

## Links
- LinkedIn | https://www.linkedin.com/in/AczxeniusAvro/

## About
Highly accomplished Data Science and Business Analytics professional with over 14 years of experience at leading firms like Meta and Accenture. Expertly translates complex business problems into high-impact Machine Learning and Data Mining solutions, delivering actionable insights and driving strategic decision-making across diverse international markets.

## Work
### Data Science Consultant | Accenture
https://
Leads cross-functional initiatives at Meta, designing and implementing advanced data pipelines and machine learning models to optimize marketing experiments and campaign performance for US and international markets.
- Spearheaded the design and execution of marketing experiments and Ad campaigns for Meta, collaborating closely with cross-functional marketing teams to drive strategic decision-making.
- Developed and deployed robust Machine Learning models for propensity targeting across US and international markets, enhancing campaign effectiveness.
- Engineered resilient Data Engineering pipelines to support on-platform and off-platform campaign measurement, utilizing randomized control trials (RCT) with synthetic lookalike methodologies.
### Data Scientist | Compass Group USA
https://
Leveraged advanced analytical techniques including Market Basket Analysis, Time Series Forecasting, and Anomaly Detection to provide actionable insights for diverse business units.
- Developed a robust Spark, Python, and R script for quarterly Market Basket Analysis, processing point-of-sale transactions from the data warehouse and loading results into Data Mart for ≈2.2K business units.
- Designed and deployed an interactive Shiny dashboard for Time Series Forecasting (ARIMAX/Prophet), visualizing trends, seasonality, and providing 365-day sales forecasts.
- Created a Python script for Anomaly Detection, automatically flagging anomalous transactions and updating the data mart, improving data quality and integrity.
- Executed Cluster and Discriminant Analysis (Python/R) using Hierarchical and K-Means clustering, identifying relevant clusters for business profile segmentation and delivering key insights to stakeholders.
### Graduate Teaching Assistant | UNCC, Data Science Initiative
https://
Supported over 50 graduate students in Visual Analytics, providing guidance on Tableau, D3.js, and R Shiny dashboards.
- Provided primary technical and conceptual support to over 50 graduate students in the Visual Analytics course, focusing on Tableau, D3.js, and R Shiny dashboard development.
### Senior Data Analyst | Accenture
https://
Analyzed financial instruments and led ETL development for a major insurance and asset management client, optimizing data warehousing and reporting processes across Netherlands and India.
- Conducted quantitative analysis and statistical modeling using R to assess performance of funds and diverse financial instruments for a leading insurance and asset management client organizations in the Netherlands.
- Collaborated with data architects and business stakeholders to design and develop OLAP Cubes using SSAS tabular model, facilitating factsheets and sales reports, and implementing SSRS reports with Data Analytic Expressions.
- Served as a Senior ETL Developer, utilizing Informatica PowerCenter to design, develop, and maintain ETL workflows for data warehouses, data marts, and Hadoop ecosystems.
- Automated daily business reports using UNIX shell scripting, SQL, and PL/SQL, reducing manual effort by 3 FTE and significantly improving performance of databases and ETL tasks.

## Education
### University of North Carolina at Charlotte | Data Science and Business Analytics
3.91/4.0 | https://
### University of Pune | Computer Engineering
https://

## Skills
### Languages
- Python
- SQL
- R
- Linux Shell Scripting
- Java
### Machine Learning
- Classification
- Regression
- Clustering
- Association Rule Mining
- Anomaly Detection Algorithms
- Dimensionality Reduction
- Time Series Analysis
- Ensemble Models
- Hyperparameter Tuning
- Regularization
- Topic Modelling (LDA)
- Word2Vec
- Sentiment Analysis
### Statistical Modeling
- Hypothesis Testing (t-test, chi square test etc.)
- ANOVA
- Design of Experiments
### Platforms/Libraries/Tools
- scikit-learn
- H2O
- R (Caret)
- Informatica PowerCenter
### Data Visualization
- Tableau
- R(Shiny)
- Matplotlib
- Seaborn
### Databases and Big Data
- Presto
- Spark (PySpark)
- Hive
- Oracle
- Microsoft SQL Server
- MySQL
- Teradata
- Hadoop

## Source
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