Job Description:

Spearheaded the development of ETL pipelines for processing 100k+ rows of financial data daily, achieving a 30% improvement in data processing efficiency by leveraging Python and MS SQL Server to create automated, error-resistant workflows.

● Mastered and deployed machine learning models in object detection, natural language processing, and computer vision, achieving up to a 95% accuracy rate. Trained and tested models that were integrated into applications, enhancing performance and scalability for clients.

● Conducted comprehensive statistical and financial analysis that revealed 20+ key trends and KPIs, leading to a 15% boost in strategic decision-making efficiency by stakeholders through actionable insights.

● Designed and implemented Power BI dashboards that increased stakeholder engagement by 40%, presenting critical metrics and KPIs. Partnered with the development team to embed reports into client web applications, resulting in a 25% increase in report accessibility and usability.

Skills Required:

MS Excel, Tableau, Power BI, Google Analytics, PySpark, Statistical analysis, data modeling, Data Engineering and ETL pipelines, data flow automation, data visualization, Machine Learning, AI models, Natural Language Processing