Sanabil Tanveer

Designed and implemented dashboards in MicroStrategy and Tableau for KPIs including Voice Roaming, subscription revenue, and 4G gross additions, enabling data-driven business decisions. Performed data migration testing (DB 2850 → IFX), validating dashboards and reports for post-migration accuracy. Delivered ad hoc reports for Mobile Financial Services, providing actionable insights for targeted analysis. Conducted data analysis and visualization in Python (pandas, matplotlib, seaborn) to support BI reporting. Built customer-shift and voice usage reports using SQL and MicroStrategy, improving visibility into migration trends and customer behavior. Developed end-to-end QA dashboards in MicroStrategy Dossier for real-time tracking of installations and KPIs.

Supported the first CCM migration project (Desjardins), working with legacy Opus system and Elixir’s SaaS CCM platform. Enhanced CRM designs via QA processes, improving accuracy, performance, and client satisfaction. Executed ETL processes by ingesting, structuring, and transforming CSV/XML data for automated communications. Designed dynamic RTF templates (CCM) with tables, graphs, and visual elements for personalized client communications.

Developed a mental health mobile app (React Native, Firebase) with journal-based text analysis to detect anxiety and depression and suggest self-help activities. Trained an NLP model on 1.5M tweets, applying preprocessing (tokenization, stopwords removal, lemmatization, TF-IDF) and feature engineering in Python. Built a Support Vector Machine (SVM) classifier for sentiment detection, evaluating performance with precision, recall, and F1-score. Visualized dataset insights and model results using Matplotlib and Seaborn to drive iterative improvements.