As an Analytics Consultant at ArmenTeKort (ATK), and in collaboration with Emergent KU Leuven & Effixis, our team championed data-driven strategies to maximize the organization's impact. Focused on fostering social connections and alleviating poverty, ATK pairs eager citizens (volunteers) with individuals in need. Our collaborative efforts include implementing predictive-based optimizations for the volunteer selection process and introducing sentiment analysis metrics to track participants’… Show more As an Analytics Consultant at ArmenTeKort (ATK), and in collaboration with Emergent KU Leuven & Effixis, our team championed data-driven strategies to maximize the organization's impact. Focused on fostering social connections and alleviating poverty, ATK pairs eager citizens (volunteers) with individuals in need. Our collaborative efforts include implementing predictive-based optimizations for the volunteer selection process and introducing sentiment analysis metrics to track participants’ well-being of over the program's duration in the buddy program.Key Achievements:✩ Designed an advanced predictive orientated pre-screening process to identify the most committed volunteers, ensuring their willingness to complete the entire training program as buddies. This strategic approach not only optimizes the selection of dedicated individuals but also contributes to cost reduction in the training process."✩ Implemented an AI-based sentiment score metric to capture emotional nuances of individuals in need across various life domains (financial, family, etc.) through assessments provided by volunteers on the journey status app."✩ Introduced early warning indicators for potential divergence in sentiment scores across various life domains, enhancing the organization's ability to proactively address the evolving emotional needs of those experiencing poverty. Show less

As Analytics Translator and Senior Data Scientist and at the Bank of Guayaquil, I have played a pivotal role in driving game-changing end-to-end Analytics projects. My focus has been on enhancing the bank's business operations and customer experience, with an emphasis on acquiring, developing, and retaining customers. My contributions to these goals include: ✩ Innovative Insurance Recommendations: I developed an innovative insurance recommendation methodology utilizing hybrid… Show more As Analytics Translator and Senior Data Scientist and at the Bank of Guayaquil, I have played a pivotal role in driving game-changing end-to-end Analytics projects. My focus has been on enhancing the bank's business operations and customer experience, with an emphasis on acquiring, developing, and retaining customers. My contributions to these goals include: ✩ Innovative Insurance Recommendations: I developed an innovative insurance recommendation methodology utilizing hybrid collaborative filtering techniques. This approach was seamlessly integrated with our CRM system, enabling bank agents to provide customized insurance product recommendations to our valued customers. ✩ Increased Telemarketing Insurance Sales: I strategically employed advanced predictive models to identify customers with a high likelihood of purchasing, resulting in a 30% increase in telemarketing insurance sales. This optimization significantly improved lead selection efforts. ✩ Trailblazing SME Banking: I spearheaded a novel customer clustering strategy that spurred the development of targeted financial products within Ecuador's SME Banking sector. This strategy helped us better comprehend our customers' needs and create tailored financial products that meet those needs. Show less

Led 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 to enhance institutional growth and efficiency. 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝘂𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆'𝘀 $𝟳𝟬 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗮𝗻𝗻𝘂𝗮𝗹 𝗯𝘂𝗱𝗴𝗲𝘁, I implemented data-driven strategies to boost international research presence, reduce student failure risk, and improve spending efficiency.𝗞𝗲𝘆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:✩ 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗥𝗲𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻:Co-led an initiative to… Show more Led 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 to enhance institutional growth and efficiency. 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝘂𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆'𝘀 $𝟳𝟬 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗮𝗻𝗻𝘂𝗮𝗹 𝗯𝘂𝗱𝗴𝗲𝘁, I implemented data-driven strategies to boost international research presence, reduce student failure risk, and improve spending efficiency.𝗞𝗲𝘆 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:✩ 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗥𝗲𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻:Co-led an initiative to improve ESPOL’s QS Ranking by 𝟭𝟰% by refining data acquisition, clarifying KPIs, and engaging academic authorities through workshops. Enhanced: employer reputation, academic standing, and student-teacher ratios.✩ 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺:Developed a 𝗣𝘆𝘁𝗵𝗼𝗻-𝗯𝗮𝘀𝗲𝗱 recommendation system, akin to a "matching platform," to stimulate international research collaboration based on researchers' fields of study and network characteristics. Utilized ETL-SQL and bibliographic APIs.✩ 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 & 𝗗𝗮𝘁𝗮 𝗗𝗲𝗺𝗼𝗰𝗿𝗮𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻:Democratized academic performance data for proactive, data-driven decisions at multiple levels (student, career, faculty). Led the deployment of a hybrid cloud BI solution, integrating Azure Power BI with on-premises data for real-time KPI access. Conducted needs assessments and workshops. Mentored a junior analyst who contributed to system development.✩ 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀:Deployed 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀 to predict academic failure and used 𝘁𝗲𝘅𝘁 𝗺𝗶𝗻𝗶𝗻𝗴 to analyze course feedback, optimizing resource allocation and improving outcomes.✩ 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝗧𝘂𝗶𝘁𝗶𝗼𝗻 𝗔𝗱𝗷𝘂𝘀𝘁𝗺𝗲𝗻𝘁𝘀:Supervised 𝗮 𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝘁𝘂𝗶𝘁𝗶𝗼𝗻 𝗮𝗱𝗷𝘂𝘀𝘁𝗺𝗲𝗻𝘁 𝗺𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆 based on socio-economic profiles, ensuring fair and efficient resource allocation for student aid and course retakes. Show less

Led strategic planning, development, and deployment of 𝘁𝗮𝘅 𝗲𝘃𝗮𝘀𝗶𝗼𝗻 𝗿𝗶𝘀𝗸 𝗺𝗼𝗱𝗲𝗹𝘀 for import/export operations, enhancing fraud controls through nationwide audits and physical inspection and 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗻𝗴 𝗼𝘃𝗲𝗿 $𝟯.𝟲 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝘁𝗼 𝗮𝗻𝗻𝘂𝗮𝗹 𝘁𝗮𝘅 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻𝘀. 𝗠𝗲𝗻𝘁𝗼𝗿𝗲𝗱 𝗮 𝘁𝗲𝗮𝗺 𝗼𝗳 𝟵 𝗥𝗶𝘀𝗸 𝗮𝗻𝗮𝗹𝘆𝘀𝘁𝘀.𝗞𝗲𝘆 𝗔𝗰𝗰𝗼𝗺𝗽𝗹𝗶𝘀𝗵𝗺𝗲𝗻𝘁𝘀:✩ 𝗥𝗲𝗱𝘂𝗰𝗲𝗱 nationwide 𝗶𝗺𝗽𝗼𝗿𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝘁𝗶𝗺𝗲𝘀… Show more Led strategic planning, development, and deployment of 𝘁𝗮𝘅 𝗲𝘃𝗮𝘀𝗶𝗼𝗻 𝗿𝗶𝘀𝗸 𝗺𝗼𝗱𝗲𝗹𝘀 for import/export operations, enhancing fraud controls through nationwide audits and physical inspection and 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗻𝗴 𝗼𝘃𝗲𝗿 $𝟯.𝟲 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝘁𝗼 𝗮𝗻𝗻𝘂𝗮𝗹 𝘁𝗮𝘅 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻𝘀. 𝗠𝗲𝗻𝘁𝗼𝗿𝗲𝗱 𝗮 𝘁𝗲𝗮𝗺 𝗼𝗳 𝟵 𝗥𝗶𝘀𝗸 𝗮𝗻𝗮𝗹𝘆𝘀𝘁𝘀.𝗞𝗲𝘆 𝗔𝗰𝗰𝗼𝗺𝗽𝗹𝗶𝘀𝗵𝗺𝗲𝗻𝘁𝘀:✩ 𝗥𝗲𝗱𝘂𝗰𝗲𝗱 nationwide 𝗶𝗺𝗽𝗼𝗿𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝘁𝗶𝗺𝗲𝘀 𝗯𝘆 𝟰𝟮%, from 8 to 4.59 days, enhancing customs efficiency.✩ 𝗗𝗼𝘂𝗯𝗹𝗲𝗱 𝘁𝗮𝘅 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻, increasing annual revenue 𝗳𝗿𝗼𝗺 $𝟳.𝟱𝗠 𝘁𝗼 $𝟭𝟱𝗠.✩ 𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻 𝗿𝗮𝘁𝗲 𝗮𝗽𝗽𝗿𝗼𝘃𝗮𝗹 𝗯𝘆 𝟭𝟰% and reduced r𝗲𝗱 𝗰𝗵𝗮𝗻𝗻𝗲𝗹 𝗶𝗻𝘀𝗽𝗲𝗰𝘁𝗶𝗼𝗻𝘀 𝗯𝘆 𝟲%.✩ 𝗗𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗘𝗰𝘂𝗮𝗱𝗼𝗿’𝘀 𝗳𝗶𝗿𝘀𝘁 𝗿𝗶𝘀𝗸 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗮𝗶𝗿𝗽𝗼𝗿𝘁𝘀, focusing on tax evasion detection.✩ Developed 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗮𝗻𝘁𝗶-𝗰𝗼𝗿𝗿𝘂𝗽𝘁𝗶𝗼𝗻 𝗿𝗶𝘀𝗸 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 to detect and prevent bribery between customs officials and importers, reinforcing ethical practices and institutional integrity.𝗠𝗮𝗶𝗻 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀:• 𝗠𝗟𝗢𝗽𝘀 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Refined and deployed machine learning models using MLOps approaches.• 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Designed 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗮𝗻𝗱 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 to feed machine learning models and anomaly detection techniques, enabling smarter assignment of customs controls.• 𝗜𝗺𝗽𝗮𝗰𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Evaluated the effect of adjusting customs controls across all ports, optimizing nationwide operations based on each port's operational capacity.• 𝗥𝗶𝘀𝗸 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁: Conducted risk analysis 𝘁𝗼 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝘁𝗵𝗲 𝗮𝗹𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗶𝗻𝘀𝗽𝗲𝗰𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱/𝗼𝗿 𝗲𝘅𝗵𝗮𝘂𝘀𝘁𝗶𝘃𝗲 𝗮𝘂𝗱𝗶𝘁𝘀. Show less

As a statistical consultant for public and private institutions, my notable contributions include: ✩ Designing a pricing plan for royalties' collection to temporary storage warehouses under concession for Ecuadorian Customs. ✩ Conducting an impact assessment of the Advance on Income Tax formula for legal entities established since 2007, and researching the degree of disclosure of the mentioned companies' accounting information and the effects of this formula on these companies'… Show more As a statistical consultant for public and private institutions, my notable contributions include: ✩ Designing a pricing plan for royalties' collection to temporary storage warehouses under concession for Ecuadorian Customs. ✩ Conducting an impact assessment of the Advance on Income Tax formula for legal entities established since 2007, and researching the degree of disclosure of the mentioned companies' accounting information and the effects of this formula on these companies' sales dynamics using a statistical panel data model for the Coordinating Ministry of Production, Employment, and Competitiveness (MCPEC). ✩ Conducting an impact study of the Foreign Currency Exit Tax (ISD) on the Ecuadorian economy dynamics using a statistical panel data model to measure the impact of the ISD on sales. ✩ Using a quintile regression model to determine the tax progressivity existence and other descriptive features thereof in an impact evaluation of the tax burden distribution in the Ecuadorian industrial sector. ✩ Developing an optimization methodology in customs clearance times for raw material imports using logistic regression for Ecuadorian Plastics. Show less