MARIYA JEYA SHALMA

Aspiring Data Scientist with hands-on experience in automation, AI-driven workflows, and data visualization, seeking to apply my skills in a dynamic organization. During my internship at Grace Connect SARL, I built end-to-end automation pipelines (n8n, Power Automate), designed LLM-powered document intelligence solutions, and developed ETL pipelines and Power BI dashboards connected to SQL Server and PostgreSQL. I aim to contribute by leveraging my expertise in data engineering, machine learning, and low-code application development to deliver intelligent systems, optimize business processes, and generate actionable insights at scale.

Completed multiple data science and AI projects, including heart failure survival prediction using clinical datasets, cybersecurity threat detection with Hadoop vs. Spark for large-scale network traffic, and sentiment analysis of social media posts using CNN and LSTM models. These projects covered the full pipeline of data preprocessing, model development, evaluation, and visualization, applying tools such as Python (Scikit-learn, TensorFlow, Keras), Java, and big data frameworks (Hadoop, Spark).

• Wholesale Banking Operations - Manipal University
• Data Engineering on AWS - Coursera
• Creating Power BI Paginated Reports - U2U
• Building your own agents with Copilot Studio - U2U

• Proficient in MS Office (Word, Excel, Outlook)
• Data-Driven Decision Making
• Analytical Thinking
• Project Management
• Team Collaboration
• Customer Relationship Management (CRM)
• Problem-Solving
• Time Management
• Stakeholder Management
• Documentation and Reporting
• Loyalty Management System