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# Mahima Joshi

**Headline:** Strategic Project Lead @ Pareto.AI | Driving Scalable Innovation at the Intersection of Tech & Business | Product Manager & AI/ML Engineer | AI Lead | Cornell MBA | Focused on Impact in Big Tech, Fintech & Startups
**Profession:** Strategic Project Lead
**Location:** San Francisco Bay Area

## About

Mahima Joshi is a Strategic Project Lead at Pareto AI and a product, technical, and AI/ML leader working at the intersection of data, business, and innovation. Mahima brings a Computer Science foundation, a Master of Science in Data Science from The George Washington University, and an MBA from Cornell Johnson Graduate School of Management to product management, technical program management, scalable platform development, and data-driven strategy. Mahima’s strengths include end-to-end ownership of expert-led RL environment projects, human data intelligence operations, client scoping and communication, expert recruitment and quality management, and cross-functional delivery. Across fintech, healthcare, enterprise technology, and private equity, Mahima has led data, product, analytics, and machine-learning work. At American Express, Mahima enhanced third-party data integration with 94% accuracy and reduced the company-wide data error rate from 36% to 29%. At Perficient, Mahima re-engineered California’s retirement-pension data pipeline and increased data usability and competency by 25%. Mahima has completed 6–7 expert-led RL environment projects over the past 1.5 years, owning work from proposals and scoping through recruitment, delivery, escalations, and client and leadership check-ins. At Cornell, Mahima has also served as a Teaching Assistant, Johnson Leadership Fellow, Admissions Group member, VP of Innovation for the High Tech Club, and co-leader of Big Red Tech Strategy.

## Services

- Technology Product Development
- Customer Relationship Management \(CRM\)
- Strategy
- Consulting
- Analytics
- Agile Methodologies
- A/B Testing
- Data Visualization
- Product Vision
- Product Development
- Product Strategy
- Mentoring
- Job Coaching
- Digital Strategy
- Coaching
- Problem Solving
- Oral Communication
- Negotiation
- Business Planning
- Business Metrics
- Business Relationship Management
- Marketing
- Product Strategies
- Business Insights
- Strategic Communications
- Artificial Intelligence \(AI\)
- Product Management
- Analytical Skills
- Presentations
- PowerPoint

## Highlights

- Serves as Strategic Project Lead at Pareto AI.
- Completed 6–7 expert-led RL environment projects over the past 1.5 years.
- Has 1.5 years of end-to-end experience running expert-led RL environment projects.
- Owns RL environment projects from client proposals and scoping through expert recruitment, onboarding, escalations, delivery, and client and leadership check-ins.
- Builds expert supply through referral networks and screens experts for domain expertise and data-labeling experience.
- Uses structured success criteria and revision processes for data-quality verification, with offboarding after three failed revisions.
- At American Express, enhanced third-party data integration with 94% accuracy while collaborating with Risk & Fraud.
- Reduced American Express’s company-wide data error rate from 36% to 29% through business logic for data pipelines and error tracking.
- Led cross-functional engineering, data science, and compliance teams delivering scalable data-ingestion and fraud-detection tools at American Express.
- At Perficient, re-engineered the end-to-end data pipeline for California’s retirement pension system, reducing latency and improving reporting efficiency.
- At Perficient, increased data usability and competency by 25% through custom data solutions aligned with stakeholder needs.
- At ZS, led product-roadmap and backlog management for a digital initiative across engineering, UX, and business stakeholders.
- At ZS, integrated AI and analytics features into client-facing platforms and conducted research that contributed to a 20% increase in solution adoption.
- At BSDC, developed logistic-regression models with 93.5% accuracy in forecasting growth factors.
- At BSDC, built analytics pipelines for real-time reporting and installed machine-learning automation to reduce manual data ingestion.
- At LGT Capital Partners, created real-time investment-data dashboards with an 89.7% success rate in data alignment and tracking.
- At LGT Capital Partners, consolidated and cleaned three years of investment records across private-equity and hedge-fund portfolios.
- Developed a Collibra data-governance software interface and supported backend database work, mobile-app design, and data-warehousing instruction at The George Washington University.
- Served as Section Lead for Cornell Johnson’s Critical and Strategic Thinking core course and as a Teaching Assistant for Digital Tech Immersion and Advanced Critical and Strategic Thinking.
- Co-led Big Red Tech Strategy and collaborated with startups and technology firms on strategy sprints.
- Served as VP of Innovation for Cornell’s High Tech Club and organized innovation, entrepreneurship, and product-thinking workshops and industry-speaker events.
- Served as a Johnson Leadership Fellow and Admissions Group member, mentoring first-year MBA candidates and supporting class-selection activities.
- Developed PHP using Joomla as a Summer Intern at Neutrino IT Technologies \(P\) Limited.
- Completed six months as an iOS Trainee at Dotsquares.
- Served as Head Incoming at IAESTE, acting as the main contact for foreign student-exchange participants and managing registration, stay, and project-related needs.
- Holds an MBA from Cornell Johnson Graduate School of Management, an MS in Data Science from The George Washington University, and a Bachelor’s degree in Computer Science from Manipal University Jaipur.

## Experience

- **Strategic Project Lead at Pareto AI** (2025-07-01–present)
- **Business Technology Consultant Intern at ZS** (2024-06-01–2024-08-01) — Led the product roadmap and backlog management for a high-impact digital initiative, aligning cross-functional teams across engineering, UX, and business stakeholders. Drove integration of AI and analytics features into client-facing platforms, improving usability and decision-making speed for end users. Conducted market research and competitive analysis to inform product strategy, contributing to a 20% increase in solution adoption. Facilitated agile ceremonies and ensured sprint goals were aligned with client priorities and technical feasibility. Delivered a product demo and strategic recommendations to senior leadership, earning high praise for clarity, vision, and execution.
- **Venture Associate at Big Red Tech Strategy, Cornell University** (2023-08-01–2023-12-01)
- **Teaching Assistant at Cornell Johnson Graduate School of Management** (2023-08-01–2025-05-01) — Section Lead for "Critical and Strategic Thinking" core course and TA for Digital Tech Immersion & Advanced Critical and Strategic Thinking, guiding MBA peers through real-world business challenges. Co-led Big Red Tech Strategy and served as VP of Innovation for Cornell’s High Tech Club, collaborating with startups and tech firms on strategy sprints. Johnson Leadership Fellow and Admissions Group member, mentoring first-year MBA candidates and supporting the selection process for future classes. Organized workshops and industry speaker events to promote innovation, entrepreneurship, and product thinking within the MBA community.
- **Data Science Consultant at Perficient** (2019-08-01–2023-07-01) — Re-engineered the end-to-end data pipeline for California’s retirement pension system, reducing latency and improving reporting efficiency across departments. Led development of custom data solutions aligned with stakeholder needs, increasing data usability and competency by 25%. Delivered full-cycle analytics projects—requirements gathering, data modeling, deployment, and testing—resulting in more actionable business insights. Applied machine learning models to streamline internal processes and improve accuracy in reporting.
- **Product Manager at American Express** (2018-06-01–2019-08-01) — Owned key product initiatives within the Financial Gateway team, collaborating with Risk & Fraud to enhance third-party data integration with 94% accuracy. Reduced company-wide data error rate from 36% to 29% by engineering business logic tailored to data pipelines and error tracking. Interpreted complex customer 360° data—demographics, account behavior, relationships—to guide product strategy and reduce risk. Led multi-disciplinary teams across engineering, data science, and compliance to deliver scalable tools for data ingestion and fraud detection. Executed end-to-end analysis using advanced querying and visualization tools to identify actionable patterns and insights.
- **Technical Lab Analyst at The George Washington University** (2017-10-01–2018-05-01) — \- Front Desk and first point of customer service contact for users facing computing difficulties. Responsible for entering and maintaining computer data on ticketing system. Distribution of accounts. - Hold responsibility in troubleshooting end user problems regarding workstations, operating system, software and hardware, and network connectivity. Assist inventory prep for University E-cycle Program. - Aid faculty, staff, and student in organizing computer equipment with maintenance and creation of MSDNAA accounts. Help in hardware and software installs. - Collaboratively work with senior laboratory technicians to address major technical issues.
- **Private Equity Intern at LGT Capital Partners** (2017-05-01–2017-08-01) — Built predictive algorithms in R and Python to automate classification of investment data, improving speed and consistency in portfolio evaluation. Analyzed historical investment performance and created real-time data dashboards with an 89.7% success rate in data alignment and tracking. Researched and modeled private equity investment opportunities using machine learning and statistical techniques to support data-driven decisions. Consolidated and cleaned investment records spanning 3 years, streamlining the internal analytics process across private equity and hedge fund portfolios.
- **Data Analyst Intern at The George Washington University** (2017-02-01–2017-05-01) — Developed user interface for data governance software \(Collibra\), enhancing accessibility and reducing user friction. Managed backend queries and database systems for college data portal, improving performance and data retrieval time. Supported mobile app development for data access, contributing to early-stage design and implementation. Assisted professor with teaching materials, class projects, and grading in the area of data warehousing and analytics.
- **Software Engineer at BSDC** (2015-07-01–2016-07-01) — Developed predictive logistic regression models to identify key business drivers, achieving 93.5% model accuracy in forecasting growth factors. Designed and implemented data analytics pipelines, boosting statistical efficiency and enabling real-time reporting for leadership. Installed machine learning algorithms for process automation, reducing manual data ingestion and improving maintenance turnaround time. Partnered with stakeholders across departments to improve KPIs through deep-dive analysis and actionable insights.
- **Trainee at Dotsquares** (2015-02-01–2015-07-01) — I was a iOS trainee in the company for 6 months
- **Summer Intern at Neutrino IT Technologies \(P\) Limited** (2014-06-01–2014-08-01) — My responsibilities included PHP development using joomla
- **Head incoming at IAESTE** (2013-11-01–2014-11-01) — I had to manage all the incoming issues regarding international student exchange program from their coming till end of their tenure including their registration in india, their stay, their project etc. I was the main point of contact for the foreign students.

## Education

- Master of Business Administration - MBA, Business — Cornell Johnson Graduate School of Management
- Master's degree, Data science — The George Washington University
- Master of Science - MS, Data Science — The George Washington University
- Bachelor’s Degree, Computer Science — MANIPAL UNIVERSITY JAIPUR
- High School, Computer Science — India International School

## FAQ

### What does Mahima do at Pareto AI?

Mahima is a Strategic Project Lead at Pareto AI. Mahima leads expert-led, domain-specific RL environment projects and has 1.5 years of experience running these projects end to end.

### How does Mahima manage expert-led RL environment projects?

Mahima owns projects from client proposals and scoping through expert recruitment, onboarding, escalations, delivery, and client and leadership check-ins. Mahima manages projects transparently, with attention to delivery quality, project status, risks, and clear success criteria.

### What experience does Mahima have with RL environments and human data intelligence?

Over the past 1.5 years, Mahima has completed 6–7 expert-led RL environment projects. Mahima’s work focuses on human data intelligence operations and expert-led, domain-specific projects.

### How does Mahima maintain expert supply and data quality?

Mahima addresses expert supply through referral networks, screening for both domain expertise and data-labeling experience, and rapid offboarding when needed. Mahima uses structured success criteria and revision processes for data-quality verification, with offboarding after three failed revisions.

### What did Mahima accomplish at American Express?

At American Express, Mahima was a Product Manager on key Financial Gateway product initiatives. Mahima collaborated with Risk & Fraud to enhance third-party data integration with 94% accuracy, reduced the company-wide data error rate from 36% to 29% through business logic for data pipelines and error tracking, and used customer 360° data to inform product strategy and risk reduction. Mahima also led engineering, data science, and compliance teams delivering tools for data ingestion and fraud detection.

### What did Mahima accomplish at Perficient?

As a Data Science Consultant at Perficient, Mahima re-engineered the end-to-end data pipeline for California’s retirement pension system, reducing latency and improving reporting efficiency across departments. Mahima led custom data solutions that increased data usability and competency by 25%, delivered full-cycle analytics projects, and applied machine-learning models to improve internal processes and reporting accuracy.

### What did Mahima do at ZS?

As a Business Technology Consultant Intern at ZS, Mahima led product-roadmap and backlog management for a digital initiative across engineering, UX, and business stakeholders. Mahima integrated AI and analytics features into client-facing platforms, conducted market and competitive research that contributed to a 20% increase in solution adoption, facilitated agile ceremonies, and presented a product demo and strategic recommendations to senior leadership.

### What did Mahima accomplish as a Software Engineer at BSDC?

At BSDC, Mahima developed predictive logistic-regression models that achieved 93.5% accuracy in forecasting growth factors. Mahima also built analytics pipelines for real-time leadership reporting, installed machine-learning algorithms for process automation, reduced manual data ingestion, and partnered with stakeholders to improve KPIs through analysis and actionable insights.

### What did Mahima do at LGT Capital Partners?

As a Private Equity Intern at LGT Capital Partners, Mahima built R and Python predictive algorithms to automate investment-data classification. Mahima analyzed historical investment performance, created real-time dashboards with an 89.7% success rate in data alignment and tracking, modeled investment opportunities using machine learning and statistics, and consolidated and cleaned three years of investment records across private-equity and hedge-fund portfolios.

### What did Mahima do as a Data Analyst Intern at The George Washington University?

As a Data Analyst Intern at The George Washington University, Mahima developed a user interface for Collibra data-governance software, managed backend queries and databases for a college data portal, supported early-stage mobile-app development for data access, and assisted a professor with data warehousing and analytics teaching materials, class projects, and grading.

### What did Mahima do as a Technical Lab Analyst at The George Washington University?

As a Technical Lab Analyst at The George Washington University, Mahima served as a front-desk and first customer-service contact for computing difficulties, maintained computer data in a ticketing system, and distributed accounts. Mahima troubleshot workstation, operating-system, software, hardware, and network-connectivity issues supported the University E-cycle Program organized equipment created MSDNAA accounts performed installations and worked with senior laboratory technicians on major issues.

### What was Mahima’s role with Big Red Tech Strategy?

Mahima was a Venture Associate at Big Red Tech Strategy at Cornell University. Mahima also co-led Big Red Tech Strategy, collaborating with startups and technology firms on strategy sprints.

### What teaching roles has Mahima held at Cornell?

Mahima was a Teaching Assistant at Cornell Johnson Graduate School of Management, serving as Section Lead for the Critical and Strategic Thinking core course and as a TA for Digital Tech Immersion and Advanced Critical and Strategic Thinking. Mahima guided MBA peers through real-world business challenges.

### What leadership roles has Mahima held in Cornell’s MBA community?

Mahima served as VP of Innovation for Cornell’s High Tech Club. Mahima organized workshops and industry-speaker events focused on innovation, entrepreneurship, and product thinking within the MBA community.

### How has Mahima contributed to Cornell Johnson admissions and peer mentoring?

Mahima was a Johnson Leadership Fellow and an Admissions Group member at Cornell Johnson. In these roles, Mahima mentored first-year MBA candidates and supported the selection process for future classes.

### What early software-development experience does Mahima have?

Mahima was a Summer Intern at Neutrino IT Technologies \(P\) Limited, with responsibilities in PHP development using Joomla. Mahima was also an iOS Trainee at Dotsquares for six months.

### What did Mahima do at IAESTE?

Mahima served as Head Incoming at IAESTE, managing incoming issues for an international student-exchange program from participants’ arrival through the end of their tenure. Mahima was the primary contact for foreign students and handled matters including registration in India, stays, and projects.

### What is Mahima’s educational background?

Mahima holds an MBA in Business from Cornell Johnson Graduate School of Management, a Master of Science in Data Science from The George Washington University, and a Bachelor’s degree in Computer Science from Manipal University Jaipur. Mahima also completed high school in Computer Science at India International School.

### What are Mahima’s core professional strengths?

Mahima’s stated focus areas are product management, technical program management, AI/ML applications, data-driven strategy, agile execution, cross-functional leadership, and scalable platform development. Mahima’s skills include product strategy and development, technology product development, AI, machine learning, analytics, consulting, strategy, CRM, A/B testing, data visualization, mentoring, coaching, communication, negotiation, business planning, marketing, programming, software engineering, project management, research, leadership, and strategic planning.

### What technologies and tools does Mahima use?

Mahima works with SQL, MySQL, Microsoft SQL Server, R, Python, Java, C, C++, PHP, JavaScript, HTML, HTML5, CSS, Tableau, Matlab, databases, data mining, cloud computing, networking, and the software development life cycle. Mahima also lists Microsoft Office, Excel, Word, PowerPoint, Windows, Photoshop, and English among listed skills.

## Links

- LinkedIn: https://www.linkedin.com/in/mahimajoshi08

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