• Applied machine learning techniques to develop predictive maintenance models for turbines, leveraging SCADA data and employing algorithms such as LOF to anticipate equipment failures and optimize maintenance schedules.• Analyzed supply chain systems and devised remanufacturing scenarios for business processes using Multi-Objective Programming Optimization techniques. Leveraged the Pyomo library in Python to model and optimize complex supply chain operations, emphasizing efficiency, social, and sustainability objectives.

• Strategically enhanced R&D division policies, resulting in the successful acquisition of six new projects with a 100% participation rate from assistants.

• Developed mock-up projects aimed at providing students with practical applications for their theoretical knowledge in engineering statistics.

• Defined the strategic direction of Genesis Career, leading the organization to achieve a significant milestone of becoming the first in its sector within four years of leadership transition.• Spearheaded collaboration efforts with over 50 top tech professionals from leading companies, serving as pro bono mentors for Genesis Career members.

Conducting research, recruiting senior industry professionals as mentors for a non-profit mentoring program, and fostering meaningful engagement between mentors and mentees.

• Successfully developed the business and secured funding from the Ministry of Education, emerging as one of the top performers nationally in the selection process.• Spearheaded the creation of an EdTech product addressing educational issues reported by 73.1% of surveyed students (104 respondents from 40 different universities).• Managed the development of provided services, potential stakeholder engagements, and product user flow and interface optimization, resulting in a 50% increase in revenue within the first two months of product launch and attaining a user satisfaction rating of 4.5 out of 5.

• Developed an SKU-based categorization system in the warehouse utilizing ABC Classification methodology, resulting in a 3% reduction in material handling (MH) time.• Implemented warehouse allocation scheme using ABC classification and validated results through Monte Carlo simulation, along with 3D visualization in Power BI.

•Proposed an idea for Meet The Expert, an event where students can learn directly from Industry Leaders•Within a week of preparation, I developed a market research report with an event concept as the solution for the next 6 to 12 months.