Google Data Analytics Specialization

National AI Olympiad (NAIO) 2025

Google Project Management Specialization

McKinsey.org Forward Program

Masters in Computer Engineering

Worked on developing various control systems and IoT projects for educational purposes for high school students.

Student Intern

Bachelor's degree

Master of Science - MS

• Led multi-year development efforts for autonomous unmanned aerial systems, including managing Edhitha’s participation in international competitions such as AUVSI SUAS 2018, where the team achieved a top 10 global ranking.
• Oversaw full project lifecycles across multiple UAV initiatives—from initial scoping and requirements gathering to testing, deployment, and performance analysis—using tools like Gantt charts, Mission Planner, and sensor integration platforms.
• Directed cross-functional teams of engineers and developers to build robust autonomous navigation and feedback systems, improving system accuracy and reliability by 30%.
• Standardised project documentation, milestone tracking, and stakeholder communication protocols to improve project visibility and accountability over multiple iterations.

Project Manager – Navigation & Systems Engineering

• Designed and delivered a real-time data product to support academic decision-making, translating stakeholder needs into scalable analytics and data system requirements.
• Built and optimized end-to-end data pipelines using Python and SQL, including data ingestion, transformation, validation, and automated refresh workflows powering live dashboards.
• Modeled data schemas and semantic layers to support reliable metrics, interpretability, and consistent downstream consumption by analytics and AI-assisted workflows.
• Implemented automated data quality checks, anomaly detection logic, and monitoring to ensure system reliability and early detection of pipeline failures.
• Worked with stakeholders to define feature requirements, success metrics, and guardrails for data-driven and AI-assisted decision-support tools.

Data Product Consultant

• Analyzed website user behaviour with Google Analytics, Hotjar, and Python, driving a boost in retention and a 30% increase in session duration.
• Developed data visualisations with Tableau to monitor user KPIs, including page views, conversion rates, and click-through rates (CTR), enhancing reporting efficiency.
• Conducted A/B testing on key website features, achieving a 15% increase in conversion rates and an improvement in user satisfaction scores.

Programming Analyst

• Assisted the Vice Provost as a Research Analyst focusing on quantitative data analysis. 
• Designed and implemented interactive dashboards on Google Sheets, Tableau, and Google Looker Studio, incorporating dynamic graphs and tables to visually represent project data.
• Automated data workflows using Google TypeScript, improving data accessibility.

Summer Research Analyst

• Spearheaded a team of 4 researchers in conceptualizing, designing, and testing a static self-balancing cycle emulating an inverted pendulum, achieving an impressive 80% accuracy across all test cases. 
• Published author in noted Springer journal, "Advances in Intelligent Systems and Computing (AISC) Series".
• Second Place winner of the 2020 Best Project Award in the Electronics and Instrumentation department of the university.

Head Research Associate

•  Led the design and deployment of intelligent workflow automation systems handling high-volume operational tasks, improving efficiency by ~30% by replacing manual triage with rule-based decision engines and data-driven prioritization logic.
•  Defined system architecture for internal analytics and automation tools, translating business requirements into structured workflow logic, conditional branching, and exception-handling pipelines.
•  Built and maintained automation pipelines using SQL and Python, implementing scoring logic, rule engines, and anomaly detection heuristics to identify edge cases and reduce processing errors.
•  Designed semi-automated decision-support systems that combined structured data inputs with configurable logic layers, enabling progressive automation while maintaining human-in-the-loop validation for compliance-sensitive operations.
•  Developed data models and transformation layers to standardize disparate datasets, improving signal quality for downstream 

Coordinating Manager - Automation Systems

• Partnered with leadership to evaluate AI-driven product opportunities using financial modeling, user demand analysis, and system-level cost–performance tradeoffs across data and ML workflows.
• Built a 5-year financial and scenario model to assess the ROI of AI-powered features, factoring in data pipeline costs, model inference scaling, cloud infrastructure (AWS), and pricing sensitivity.
• Analyzed data pipelines and usage patterns using SQL and Python to understand system constraints, data availability, and feasibility of AI feature rollout.
• Worked closely with technical teams to evaluate architecture choices for data-intensive features, including tradeoffs between batch vs near-real-time processing and their impact on product latency and cost.
• Helped define success metrics, guardrails, and evaluation criteria for AI-assisted product initiatives, ensuring alignment between model behavior, business objectives, and user trust.

AI Product & Strategy Intern

• Client: NYU Office of the Provost
• Spearheaded database cleanup and optimized data storage efficiency, establishing rules for future data insertion to ensure consistent and accurate data management.
• Conducted extensive data parsing and developed interactive dashboards using Google Sheets, and Google Looker Studio which enhanced data accessibility by 25%.
• Authored detailed reports and executive summaries, effectively communicating complex analytical findings through data visualization tools.

Consultant Data Engineer

• Client: NYU Silver School of Social Work • Developed a real-time academic data dashboard in Tableau, increasing reporting efficiency by 40% through automation and API integration. • Built and streamlined ETL pipelines using Python, processing data from 5+ sources to ensure real-time updates on key metrics such as student-faculty ratio, retention, and graduation rates. • Designed interactive Tableau dashboards with filters and dynamic visualizations.

Consultant Data and Reporting Analyst

•  Converted more than 100 files of numerical CSV data into compelling KPI dashboards using Looker Studio and Google Sheets.
•  Analyzed multiple documents by writing Python scripts to parse relevant data and visualise the results with Tableau and Spreadsheets.
• Collaborated with cross-functional teams and stakeholders to achieve the minimum viable product, ensuring alignment with project goals and objectives.

Research Analyst

• Developed a 5-year financial model in Excel, integrating revenue projections, cost structures, and a DCF valuation model, leading to a projected enterprise value of $96M. • Constructed and optimized the company’s business model, incorporating pricing strategy, revenue growth assumptions, and market trends, which contributed to a 40% increase in projected profit margins. • Designed interactive dashboards in Tableau to visualize key performance indicators (KPIs) such as user growth, freemium-to-premium conversions, and EBITDA, enabling real-time business insights.

Business Analytics & Strategy Intern

• Led cross-functional teams using Asana to define project goals, scope, and deliverables, driving 30% improvement in project efficiency through workflow automation using Excel Macros. • Oversaw data analysis efforts, utilizing Python, SQL, and SPSS to optimize data cleaning and transformation processes, increasing data quality by 90%. • Managed KPI tracking across departments, integrating data into automated Tableau dashboards to improve visibility and resource allocation, leading to a 20% improvement in decision-making efficiency. • Worked closely with internal teams to identify process inefficiencies and implemented data-driven improvements using Tableau, resulting in a 15% reduction in operational bottlenecks. • Implemented Agile frameworks to conduct sprint reviews and retrospectives, ensuring iterative improvements and alignment with organizational goals.

Coordinating Manager

Co-Founder

Founder @ Syphon Labs. Building AI systems for job applications, recruitment, and hiring workflows.

Know about Reuben Jacob's work experience, education, and much more. Reuben Jacob