Resume

• Mentored 47 students across 2 batches in a structured ML program, directly contributing to an exceptional 92% course graduation rate.
• Ensured a high-quality learning experience by providing comprehensive support and guidance throughout the Machine Learning curriculum, reinforcing student understanding.
• Drove student success and project completion through weekly consultations and expert guidance on ML projects, reflected in average student ratings of 4.9/5.0.
• Resolved student challenges proactively by providing continuous, accessible support via one-on-one sessions and chat, ensuring effective learning progression.
• Boosted student engagement and learning outcomes during ILT sessions through active instructor assistance and participation strategies, evidenced by average instructor ratings of 4.8/5.0.

• Directed the initial phase and development of 2 AI research papers, coordinating a team of 5 researchers and establishing the foundational structure for subsequent publication efforts.
• Spearheaded the end-to-end research process for 2 key papers, streamlining early-stage workflows and contributing to the advancement of project milestones.
• Conducted in-depth literature reviews on over 15 AI papers, establishing critical foundational knowledge that directly informed the conceptualization and initial drafts of 2 academic publications.
• Mentored 2 university students on their theses in computer vision and tourism, directly contributing to 100% on-schedule completion and successful defense rates for their projects.
• Guided a student through a Business Intelligence project, facilitating the successful design and implementation of Power BI dashboards with direct data integration from MySQL databases, enabling key insights delivery.

• Executed literature review of 5+ research papers on social media's impact on mental health, guiding chatbot development toward the most prevalent disorders.
• Preprocessed 330.000 social media posts and built a sentiment model using fine-tuned XGBoost; improved accuracy by 10% compared to baseline models.
• Integrated the best sentiment model; enabling the chatbot to prioritize negative inputs, reducing conversation time by 5%, leading to more focused and supportive interactions.

Guided students in mastering the intricacies of Mathematics, Statistics, and Data Analytics; garnered reviews with an average rating of 4 out of 5 stars based on student feedback.