Applied clustering analysis to unstructured data (extraction, transportation, integration) by writing a machine learning algorithm that enhanced resource allocation for sales teams by reducing bias and using more correct data, increasing sales by 20%.

Developed a new ETL pipeline using a python script that utilized data from the SQL Server, Salesforce Marketing Cloud Environment to reduce the runtime of the company's core BI model by more than 50% and process more than 1TB of data.

Collaborated with global data teams to develop ML algorithms as part of a customer retention project that resulted in a 2% growth in customer retention rates.

Reinforced a significant improving conversion rate by 12.5% through A/B testing and multivariate analysis to measure the impact of features on crucial business metrics, including average profit and average profit, with the help of a team of 3 Data Analysis.

Implemented an NLP model to classify text data into different topics to suggest the following action when dealing with a customer, which led to a 7% reduction in customer support time, as measured by a metric of average response time for each topic.

Boosted business performance by implementing PowerBI's data visualization tools to create and share tens of complex reports and dashboards solutions with departments, supplying tangible insights to aid business decisions by writing SQL queries, stored procedures, and views.

Developed and supported complex reports using Microsoft BI tools that measured vital business metrics such as sales figures, revenue, user acquisition, and inventory levels by building SQL queries, analyzing data, and creating visualizations.

Collaborated with internal stakeholders to generate integrated information delivery solutions by helping workshops, presenting data analytics results, and completing data models.

Contributed to the growth of business intelligence development productivity by 15% and reduced business intelligence engineer costs by 10% by creating a tool to automatically extract data from the data warehouse and transform that into valuable information, thus reducing the need to remove data manually.

Reduced weekly workloads to 3 hours by creating a series of weekly and monthly dashboards that allowed the analysts to find and correct any issues quickly.

Examined online user behavior data to find the factors influencing purchases,s and developing a marketing plan to meet those drivers could elevate conversion rates by 5%.

Improved company production processes by applying data mining practices to detect anomalies in data, which led to powerful characterizations and implementation of features and metrics in the company's core products.

Levelled up business intelligence practices by writing and perfecting advanced SQL statements.

Developed and implemented strategies, conducted research, developed measures to evaluate performance, and delivered insights as part of managing and leading pilots with businesses such as Coca-Cola, Canada AB InBev, and Subways. These projects resulted in significant growth by tens or even hundreds of percent. For instance, over 8 months, the company's client base in Canada increased by 800 percent.

Created and ran 7-day value creation workshops for three large clients across five countries, resulting in higher data quality and business value.

Trained Four team members in business intelligence techniques, focusing on data analysis, report creation, and data visualization, judging by the team's consistent on-time report delivery.

Managed security architecture to include perimeter security network.

Designed and implemented highly segmented network with a focus on zero trust.

Provide security training for all new highers and existing teams in order to increase information security awareness.

Implemented multiple information security initiatives including Single Sign On (SSO) with Multi-Factor Authentication (MFA) for over 100 critical applications.

Developed a team to include Identity and Access Management and a Security Analyst.

Deployed a centralized SIEM (log management system) to collect and analyze logs from all systems.

Designed a Vendor Management system and ensured that all contracts go through the a review by the security department using HECVAT.

Implemented the FAIR risk methodology to analyze risk for Rollins College.

• Created an incident response plan that was approved by the Rollins College external board.

Started the Architectural review board that made all the technical recommendations.

Managed the technical team at this remote site for McGraw-Hill.

Designed system requirements for California Testing Bureau (CTB) scoring center.

Maintained data center including network infrastructure, all servers and all backups.

Actively participated in the Information Security Counsel for McGraw-Hill.

Managed multiple cross-functional teams in a global environment.

Managed the team responsible for developing a plan to maintain Sarbanes-Oxley (SOX) compliance.

Designed a network infrastructure for all the Judges that provided a high level of security and removed all legacy equipment.

Designed and implemented ethernet network infrastructure.

Designed and implemented firewall and maintained all rules (Cisco).

Designed and installed all Windows servers and ensured all servers remained patched and secure.

Provide training to staff in order to provide effective support to Judges.

Developer for a de-identified research data warehouse compiling information from over 100 million patients, focusing on improving efficiency and scalability of ETL process and end-user dashboard response time.

Collaborated with data scientists and physicians to design and build data models for studying the Covid-19 pandemic, datasets of which were published in Epic Health Research Network studies.

Designed and implemented functionality to connect physicians with other physicians treating patients with similar rare conditions or symptoms.

Conceptualized technical architecture to meet future functionality and scalability needs as defined by product managers. Participated in proof of concept leveraging Azure Synapse, Databricks and SQL Pools.

Evaluated new and upcoming technologies, including Microsoft Azure and AWS IaaS, Intel Optane, Oracle Exadata, HPE SuperDome Flex, and new releases of VMware vSphere and Microsoft SQL Server.

Communicated findings to customers as a presenter at yearly Epic XGM conference as well as an SME at onsite customer leadership retreats.

Conducted company-wide SQL Server SME, performing SQL code reviews, developing testing tools and methodology, and resolving customer escalations through system resource and query plan analysis.

Implemented and maintained production SQL Server cluster, providing developers with customer-sized environments for isolated performance and scalability testing.

Developed statistical models using R to forecast system resource requirements for Epic's customers, identifying future performance and scalability bottlenecks.

Provided technical and project management support for Epic's Cogito analytics platform running on both Microsoft SQL Server and Oracle, with a focus on academic and international customers.

Authored technical knowledge base articles on system monitoring, system setup, upgrade strategy and consideration, and reference architectures for implementing Epic Cogito on VMware and Hyper V.

Led the implementation of new technologies, including supporting Epic's first customer implementation in Microsoft Azure.

Managed a portfolio of cross-functional Customer Experience products from Sales Service automation, Marketing Platform, Commerce Platform, and Data Platform.

Supporting market growth through the partner enablement of CX solutions in South East Asia countries.

Developed a sales strategy to increase market share by becoming a digital champion at SAP, accountable for video content creation and virtual engagements.

Conducted needs assessments with customers, identified core business issues, and delivered solutions to increase customer retention rates and revenue.

Presented demo proposals for product solutions to customers, including benefits and ROI to customers and executive stakeholders.

Accountable for the presales of Customer Experience cloud apps portfolio, from Sales Cloud, Service Cloud (RightNow), Social Cloud, and marketing platforms (Responsys and Eloqua) supporting South East Asia region.

Developed a sales strategy to increase market share in South East Asia.

Conducted needs assessments with customers, identified core business issues, and delivered solutions to increase retention rates and revenue.

Presented demo proposals for product solutions to customers, including benefits and ROI to customers and executive stakeholders.

Outperformed as the best presales of Customer Experience cloud apps portfolio, from Sales Cloud, Service Cloud (RightNow), Social Cloud, and Marketing platforms (Responsys and Eloqua).

Developed a sales strategy to increase market share by creating a new partner community special in CRM/CX.

Conducted needs assessments with customers, identified business issues, and delivered solutions to increase retention rates and revenue.

Presented demo proposals for product solutions to customers, including benefits and ROI to customers and executive stakeholders.

Responsible to handle 4 enterprise products: Red Hat, SAP, Veeam, and Informatica.

Drove revenue growth, partner readiness, sales incentive programs, and build executive partner relationships.

Developed partner sales capacity and capabilities to achieve targets, created a partnership model, and developed sales process.

Successful to implemented new business in CRM portfolio, achieved the first deal for Salesforce.com in the company.

Responsible to handle CRM portfolio product division on Salesforce and performed sales, presales demo and presentation to customers.

Designed network blueprint and solution to customers and responsible for performing POC demo and presentation to customers.

Responsible to create sales and technical proposals regarding the design and solution.

Led the development of a service that provides automated pen-testing to internal front-office facing teams while managing and mentoring 3 pen-testers (Python, Java Spring Boot, Angular JS, OracleDB).

Developed a web application that orchestrates vendor vulnerability scanners to scan over 100,000 cloud and hardware infrastructure within the firm, while also providing metrics via an API and UI (Java, Spring Boot, Angular JS, OracleDB).

Led the analyst peer mentoring committee for Jersey City by conducting event planning, budget analysis, mentor and mentee pairing, and mentor training for over 200 analysts.

Increased the firm's technology risk oversight by 60% with the development and integration of new infrastructure scanners into the risk reporting engine (C#, T-SQL).

Automated 75% of the manual QA testing by developing a new UI test tool for the risk dashboard (Python, Selenium).

Improved satisfaction rating by 50% by building documentation and training for the risk dashboard.

Increase the performance of the firm's technology risk dashboard by 80% by integrating a new infrastructure data source into the pipeline (Java, T-SQL).

Reduce 45% of the overhead costs of the analytics team by implementing an excel exporting integration into the risk report engine (Java, Python).

Supervised 60 consultants on campus, led onsite training, and conducted employee recruitment.

Created a staff dashboard that serviced over 350 computer lab employees by providing specific tools and metrics based on their lab location (HTML/CSS, JS).

Increased the accuracy of recording the student capacity in each lab by 95% with a script that utilized API services to track computer usage and location (Python, Google Script).

Development of APIs in .NET Core for thousands of students of the Ânima institution and Gitflow and Articles for internal use, impacting every new developer.

Used design patterns such as DDD and TDD and Implemented software principles like SOLID and Clean Code, used by the whole squad.

Carried out the implementation of modern technologies such as git commitizen and best practices with Xunity (.NET Core).

Carried out the development of mobile applications using React-Native and C#.

Developed and implemented documentation on setting up the environment as well as quick and useful changes to facilitate the work of employees.

Carried out the application development using Javascript, Jquery, and also modern frameworks including Vue.js React and SASS.

Implemented a translation resource (i18n) in insurance service and the creation of HTTP routes in RESTFUL APIs in C # .NET.

Carried out the development of tools using map services (Open Layers).

Carried out the development of tools that facilitate the creation of queries at the first user-level and the developer level.

Under Prof. Marco Benjamin, researching systems analysis, scalable systems and execution tracing.

Created cloud-native translation app, used NodeJS and Google Cloud APIs/Functions to save the company $150,000/year.

Built Microsoft Teams Bot for translate app with NodeJS, GCP, Docker, and Kubernetes, reduced translation time by 99%.

Connected internal transcription application with Five9 API using NodeJS to transcribe 1000s of company voicemails.

Designed application diagrams using LucidChart/Drawio, introduced 100% automated test coverage with Mocha.

Collaborated in an agile manner with cross-functional team sprints, participated in 100% of daily scrums.

Contribute to open source projects hosted on GitHub, manage pull requests, and code reviews.

Automated scraping journal website, parsing and cleaning the data using Python, connected app to CouchDB database.

Managed the lab, taking responsibility of all faculty, staff and students within the lab.

Engineered automation system for web form development using C# (NUnit), TSQL and TFS, cutting front-end development time by 75% and reducing referential integrity errors by 90%+.

Modernized flagship product to fit current browser standards, introduced CRUD functionality using C# and ASP.NET.

Developed Web Forms for the ePCR system using Gridbox, Jquery/Javascript, HTML and CSS.

Created xWiki for internal documentation, scaled down required meetings accelerating on-boarding by 70%.

Managed over 40 websites using Adobe Suite, HTML, CSS in WordPress & Drupal.

Led a research team solving major bulk US power grid problems using real, large-scale Synchrophasor data.

Created a model to generate realistic synthetic anomaly data increasing data availability by at least 200% and a model to classify anomaly signatures achieving an F1 score of 97%.

Created a system that automatically identified and categorized unprecedented anomaly labels with 96% accuracy.

Created an online method to replace missing values during volatile anomalies while keeping errors 10%.

Created two methods (for two use cases) to detect the start of an anomaly. Both methods achieve F1 scores of at least 95%.

Created a model for topology classification and monitoring achieving 97% Accuracy from training on just 5% of the data.

Developed a method to detect electricity fraud which increases detection rates by a factor of 20.

Developed a model to predict the deaths of power equipment increasing the proportion of correct identifications by 700%.

Performed detailed financial optimization of battery storage systems via their participation in Wholesale Power Markets.

Performed battery storage degradation Modelling and optimization in power markets under degradation and managed a database of smart meter data on a Hadoop cluster.

Performed simulations and optimizations to design multijunction solar cells, increasing efficiencies by 46%.

Experimentally tested the power curves of 20 fabricated solar cells and performed wet-etching of multijunction solar cells in a cleanroom environment.

Responsible for clinical decision support system "AI-Pathway Companion" that helps physicians standardize and accelerate clinical decisions through AI.

Developed natural language processing model that improved performance of current decision support system by 10%.

Researched and performed a statistical, qualitative, and quantitative analysis in healthcare.

Proposed approach for automatic generation of semi-structured representations of radiology reports that outperformed the baselines under quantitative evaluation and qualitative judgment by 5%.

Worked on research problems in the medical field: reducing human time and effort devoted to annotating data, automatically detecting the presence of key findings from clinical reports, predicting patients' survival, simplifying lay-language of clinical reports.

Teaching Assistant for courses: Python Programming, Data Science, and Math in Computing.

Designed and engineered machine learning systems to automate the sentiment polarity of drug reviews.

Created data visualization graphics, translating complex data sets into comprehensive visual representations.

Proposed approach outperformed baselines by 8% under quantitative metrics.

Developed web-based applications for clients and assisted team members in enhancing client-side software solutions.

Succeed to deliver projects in the half time estimated by clients and increased revenue of project by 50%.

Researched for a graduate thesis on distributed systems using the Azure Service Fabric platform.

Designed and built mini microservice-oriented application for tracking and reducing electrical power failure.

Designed the data models in Microsoft Azure Kusto Systems for tracking and ingesting product telemetry data to Snowflake data warehouse, thus making 15+ feature usage data available at an hourly refresh rate with billions of data points ready for analysis/modeling for all data science use cases.

Led and executed on entire DBT strategy of automating, monitoring, and maintaining datasets for internal data mart thereby freeing the data engineering team's resources up to 50%.

Collaborated with product software engineers, data scientists, and product managers for governance around establishing standards for product instrumentation data.

Coordinated and streamlined process between upstream dependencies thereby reducing the time taken to land data in the analytic database from 6 weeks to 2 weeks.

Established TDD for internal data governance project to check for permissions, violations, and managing environments for data.

Designed, developed, and integrated python audit framework and monitoring system for increased visibility around 100% of automated data pipelines which helped the data engineering team meet all SLAs in terms of data availability and data quality.

Created automated data pipelines which scanned git repositories and landed data in Snowflake warehouse via AWS S3 which enabled product engineering teams to get access to internal engineering metrics like codebase transition, thereby reducing the internal code-migration roadmap timeline by 40%.

Delivered in-product feedback dashboard which ties feedback data to internal accounts data that enabled data scientists to perform Net Promoter Score Analysis, Sentiment Analysis and is currently used by 20+ teams with Docusign including PMs, Engineers, leadership.