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2024

Last Position : Data Analyst

Period : February 2024  to  Present

Job Description :

- Managed and ensured data quality to maintain accuracy, completeness, and readiness for analysis
- Developed and maintained business intelligence dashboards using tools such as Power BI and Tableau
- Built automated daily reporting systems using Python combined with Microsoft Graph API to:
- Automatically send email reports with PDF/Excel attachments to relevant teams
- Upload report files to SharePoint and generate secure access links within the team
- Developed scripts in Python and SQL to extract and prepare data (data wrangling) from databases for analysis and reporting purposes
- Applied Machine Learning and Deep Learning models such as Autoencoders and Neural Networks for:
- Anomaly detection to identify irregularities in data
- Customer segmentation and trend analysis (Customer Clustering)
- Predictive modeling for business forecasting, including sales prediction and customer churn analysis
- Tools and techniques utilized:
- Libraries: scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, PyTorch
- Models and methods: LSTM, CNN, LSTM+CNN, K-Means, K-Means+LSTM
- Model types: Regression, Classification, Clustering
- Developed web scrapers using Python (BeautifulSoup, Selenium, Scrapy) to extract, clean, and analyze data from external websites