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# Amit Lodha

**Headline:** Associate Director AI/ML @ Block Renovation \| Agentic AI, Multi\-Agent Automation, Applied AI, Predictive Modeling
**Profession:** Associate Director AI/ML
**Location:** Roslyn, New York, United States

## About

Amit Lodha is Associate Director of AI/ML at Block Renovation, where he builds and scales an intelligent, multi\-agent renovation system for homeowners\. With more than seven years of experience across strategy, analytics, and data science, Amit specializes in applied AI, predictive modeling, data architecture, multi\-agent automation, and product development\. At Block Renovation, he has launched AI\-powered cost\-estimation and image\-rendering tools, expanded platform capabilities for new products and market segments, and led data science work supporting Block’s transition to a digital marketplace connecting contractors and homeowners\. He also developed sales\-call transcript analysis tools that provide real\-time insights and led a GEO optimization strategy to increase Block’s visibility on generative\-AI platforms\. Previously, Amit led AI/ML at Datazoic, creating four AI products integrated with three banking systems and establishing a cross\-functional team supporting five clients\. His earlier work includes identifying more than $50 million in profit through machine\-learning applications at IBM and building real\-time client\-valuation models covering approximately 20,000 clients at Invesco\. Amit holds a B\.S\. in Physics & Finance from NYU Stern School of Business\.

## Services

- Predictive Analytics
- Machine Learning
- Data Architecture
- Product Management
- Artificial Intelligence \(AI\)
- Statistical Modeling
- python
- Java
- Data Analysis
- Microsoft Office
- Microsoft Excel
- Public Speaking
- Marketing
- Management
- Analysis
- Program Management
- PowerPoint
- Microsoft PowerPoint
- Analytical Skills
- Strategy
- Innovation

## Highlights

- At Block Renovation, launched and scaled a multi\-agent renovation platform using AI\-powered cost\-estimation and image\-rendering tools to drive user growth\.
- Expanded Block Renovation’s platform with new products, improving efficiency across multiple market segments\.
- Led Block Renovation’s data science initiative to support its transition to a digital marketplace connecting contractors and homeowners with AI\-driven models\.
- Developed AI\-powered sales\-call transcript analysis tools that delivered real\-time insights to improve sales\-team performance at Block Renovation\.
- Increased Block Renovation’s visibility on generative\-AI platforms through a targeted GEO optimization strategy\.
- Created four AI products at Datazoic and integrated them into three banking systems, including generative and action\-oriented chatbot assistants, customer\-interest prediction models, and anomaly\-detection models\.
- Architected and engineered ML data infrastructure for predictive\-ML and GenAI applications at Datazoic\.
- Established a cross\-functional Datazoic AI team of front\-end developers, business analysts, and AI subject\-matter experts supporting five clients\.
- Built an automated Invesco client\-valuation model calculating profit, yields, and net present value in real time across approximately 20,000 clients\.
- Introduced advanced\-analytics metrics for campaign, product, and client success at Invesco\.
- Developed segmentation, marketing and sales outreach, campaign\-progress metrics, and reporting approaches for Invesco’s top 3,000 advisors to improve customer\-retention efforts\.
- Co\-founded Medify, Inc\., a healthcare venture designed to centralize patient information for coordinated care among stakeholders\.
- Developed Medify’s business model and Lean Startup\-based case to address patient non\-compliance\.
- Interviewed more than 30 healthcare and insurance professionals to identify Medify’s industry pain points\.
- Pitched Medify’s business plan through NYU’s Launch Start\-Up Lab to a panel of five investors, entrepreneurs, and professors\.
- At IBM, led design\-thinking engagements that generated more than 15 strategy\-defining machine\-learning solutions\.
- Served as a founding member of the first successful Advanced Analytics Garage for GBS at IBM, helping bring rapid prototyping into the organization\.
- Identified more than $50 million in profit for three IBM clients through machine\-learning applications including forecasting, recommendation engines, and chatbots using Watson, Python, and SAP HANA\.
- Pitched a $25 million IBM investment strategy for custom solutions addressing wealth\-management retention, retail purchase\-trend prediction, and insurance Customer 360\.
- Organized a healthcare\-innovation roundtable with more than 20 CEOs and thought leaders as AAPI Innovation and Tech Committee Founder and Chair\.
- Drafted correspondence to Congress proposing healthcare policy changes to improve data infrastructure\.
- Helped manage two multi\-day AAPI conventions attended by more than 3,500 physicians and generating $2 million in revenue, and organized four meetings in India, Brazil, South Africa, and other locations\.
- At Taykey, advised advertising clients on placements that increased clicks and likes to more than 100% of target\.
- Produced and presented more than 50 advertising\-performance reports to over 15 Taykey clients, including Sony, Prudential, Coca\-Cola, and Paramount Pictures\.
- Used Python algorithms at Taykey to provide data for more than 10 articles published in marketing newsletters including Adweek\.
- Created a statistical tool during neuroscience research at SUNY College at Old Westbury to analyze and numerically represent average cell shape\.
- Mentored three junior neuroscience researchers in laboratory scientific techniques\.
- Audited reimbursement claims from 13 government\-sponsored youth\-activity agencies at the Nassau County Department of Social Services\.

## Experience

- **Associate Director AI/ML at Block Renovation** (2025\-03\-01–present) — Launched and scaled a multi\-agent renovation platform, driving user growth with AI\-powered cost estimation and image rendering tools\. • Expanded the platform’s capabilities to integrate new products, optimizing efficiency across multiple market segments\. • Led a data science initiative to transition Block Renovation into a digital marketplace, connecting contractors and homeowners with AI\-driven models\. • Increased brand visibility on Gen AI platforms through a targeted GEO optimization strategy, positioning the company as an industry leader\. • Developed AI\-powered tools to analyze sales call transcripts, delivering real\-time insights that enhanced sales team performance\.
- **AI/ML Lead at Block Renovation** (2024\-07\-01–2025\-02\-01) — Building an renovation multi\-agent AI system to help homeowners realize their renovation dreams\.
- **Head of AI/ML at Datazoic** (2019\-11\-01–2024\-07\-01) — Pioneered the creation of four innovative AI products by successfully integrating them into 3 banking systems including Generative and Action oriented chatbot assistants, customer interest prediction models and anomaly detection models\. • Architected and engineered the foundational ML data infrastructure for predictive ML and GenAI applications and products • Established a cross\-functional AI team of front end developers, business analysts and AI SMEs to support 5 clients
- **Data Science and Analytics Associate at Invesco US** (2018\-04\-01–2019\-08\-01) — Recommended various strategies for growth across different areas of the business by building an automated client valuation model which calculated profit, yields, and NPV across ~20,000 clients in real time • Introduced new metrics for measuring campaign, product and client success by applying advanced analytics to models • Improved customer retention for top 3,000 advisors by developing an analytics approach to customer segmentation, marketing and sales outreach, campaign progress metrics, and reporting
- **Data Science and Analytics Associate at Invesco Asset Management** (2018\-04\-01–2019\-08\-01) — Recommended various strategies for growth across different areas of the business by building an automated client valuation model which calculated profit, yields, and NPV across ~20,000 clients in real time • Introduced new metrics for measuring campaign, product and client success by applying advanced analytics to models • Improved customer retention for top 3,000 advisors by developing an analytics approach to customer segmentation, marketing and sales outreach, campaign progress metrics, and reporting
- **Innovation and Tech Committee Founder,Chair at American Association of Physicians of Indian Origin \(AAPI\)** (2015\-06\-01–2017\-12\-01) — Cultivated the creation of various health care product ideas by bridging technologists with doctors • Fostered discussion on healthcare innovation by organizing a roundtable with over 20 CEOs and thought leaders • Proposed healthcare policy changes to promote better data infrastructure by drafting correspondence to Congress • Assisted in managing two multi\-day conventions attended by over 3,500 physicians with revenue of $2MM and organizing 4 meetings hosted in various countries such as India, Brazil and South Africa
- **DS/ML and Analytics Consultant at IBM** (2014\-07\-01–2018\-03\-01) — Innovated over 15 strategy\-defining machine learning solutions by leading client leadership through design thinking • Actualized rapid prototyping to GBS by being a founding member for the first successful Advanced Analytics Garage • Identified over $50MM in profit by building various machine learning applications involving forecasting, recommendation engines, chat bots, etc\. • using technologies such as Watson, Python, and SAP HANA for three clients • Pitched a strategy to invest $25MM into developing custom solutions to improve customer retention in wealth management, predict purchasing trends in retail, and obtain Customer 360 in insurance
- **Co\-Founder at Medify, Inc\.** (2013\-09\-01–2014\-01\-01) — One of the biggest cost drivers in the healthcare industry is mismanagement of data\. • Symptoms of this leads to unnecessary duplication, increased risk of data security breaches, and increased non\-compliance by patients to adhere to medical plans\. • Medify is the solution to this by bringing all the information for one patient to one central place where all the stakeholders involved can work together, split the cost, and provide a more complete care for the patient\. • Developed a business model and case to alleviate patient non\-compliance using the Lean Startup methodology • Identified pain points of the healthcare industry by interviewing over 30 healthcare and insurance professionals • Pitched business plan to a panel of five investors, entrepreneurs, and professors as part of NYU's Launch Start\-Up Lab
- **Data Analysis Intern at Taykey \(Acquired by Innovid\)** (2012\-09\-01–2013\-07\-01) — Analyzed client’s advertisement performance on various advertising platforms such as the Facebook Ad Network using various marketing metrics such as click\-through rate, and like through rate • Advised clients on advertising positions within these networks to increase clicks and likes performance by over 100% of target • Produced and presented over 50 numerical reports to more than 15 clients such as Sony, Prudential, Coca Cola, Paramount Pictures et\. • al\. • detailing marketing performance across three advertising platforms, such as the Google Display Network • Utilized algorithms using Python that analyzed data from the Taykey databases to provide data for over 10 articles published across various marketing newsletters such as Adweek
- **Nassau County Youth Board Auditing Intern at Nassau County Department of Social Services** (2011\-06\-01–2011\-08\-01) — Audited reimbursement claims from 13 different government sponsored Youth\-Activity agencies to track the agency’s spending • Maintained county financial information using Excel and NIFS, the government financial tracking program • Traveled to various agency programs and supervised 3 youth social activities
- **Neuroscience Researcher at SUNY College at Old Westbury** (2006\-06\-01–2009\-12\-01) — Alcohol Coupling with Endogenous Morphine Release Induced Down Regulation in Mytulis edulis Hemocytes • Created a statistical tool to analyze and represent the average shape of cells in numerical form • Used statistical tools such as ANOVA tests, significance tests, and various regressions to analyze data • Taught and mentored three junior researchers in the scientific techniques required in the labs
- **Neuroscience Researcher at SUNY College at Old Westbury** (2006\-06\-01–2009\-12\-01) — Alcohol Coupling with Endogenous Morphine Release Induced Down Regulation in Mytulis edulis Hemocytes • Created a statistical tool to analyze and represent the average shape of cells in numerical form • Used statistical tools such as ANOVA tests, significance tests, and various regressions to analyze data • Taught and mentored three junior researchers in the scientific techniques required in the labs

## Education

- Bachelor of Science \(B\.S\.\), Physics & Finance — NYU Stern School of Business (2010\-01\-01–2014\-01\-01)

## FAQ

### What does Amit do at Block Renovation?

Amit is Associate Director of AI/ML at Block Renovation\. He is responsible for building and scaling an intelligent renovation multi\-agent system that helps homeowners realize their renovation goals\.

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

Amit’s strengths include artificial intelligence, machine learning, predictive analytics, statistical modeling, data architecture, product management, strategy, innovation, program management, data analysis, and analytical problem\-solving\. His technical experience includes Python, Java, Microsoft Office, Excel, PowerPoint, and public speaking and marketing capabilities\.

### What has Amit accomplished at Block Renovation?

At Block Renovation, Amit launched and scaled a multi\-agent renovation platform with AI\-powered cost\-estimation and image\-rendering tools that drove user growth\. He expanded the platform to integrate new products and improve efficiency across multiple market segments, led a data science initiative to transition Block into a digital marketplace connecting contractors and homeowners with AI\-driven models, and increased brand visibility on generative\-AI platforms through GEO optimization\. He also developed AI tools that analyze sales\-call transcripts and provide real\-time insights to improve sales\-team performance\.

### What did Amit accomplish at Datazoic?

As Head of AI/ML at Datazoic, Amit pioneered four AI products integrated into three banking systems\. These products included generative and action\-oriented chatbot assistants, customer\-interest prediction models, and anomaly\-detection models\. He also architected and engineered foundational ML data infrastructure for predictive\-ML and GenAI applications and established a cross\-functional team of front\-end developers, business analysts, and AI subject\-matter experts supporting five clients\.

### What did Amit accomplish at Invesco US?

At Invesco US, Amit built an automated client\-valuation model that calculated profit, yields, and net present value in real time across approximately 20,000 clients, informing growth strategies across the business\. He introduced analytics\-based metrics for campaign, product, and client success, and developed an approach to segmentation, marketing and sales outreach, campaign\-progress metrics, and reporting that improved retention efforts for the top 3,000 advisors\.

### What was Amit’s work at Invesco Asset Management?

At Invesco Asset Management, Amit reported the same core data science and analytics work: building a real\-time client\-valuation model across approximately 20,000 clients, introducing advanced\-analytics metrics for campaign, product, and client success, and developing segmentation, outreach, campaign measurement, and reporting approaches for the top 3,000 advisors\.

### What did Amit accomplish at IBM?

As a DS/ML and Analytics Consultant at IBM, Amit led client leadership through design thinking to innovate more than 15 strategy\-defining machine\-learning solutions\. As a founding member of the first successful Advanced Analytics Garage for GBS, he helped move rapid prototyping into the organization\. He identified more than $50 million in profit for three clients through forecasting, recommendation engines, chatbots, and other machine\-learning applications using Watson, Python, and SAP HANA\. He also pitched a $25 million investment strategy for custom solutions in wealth\-management retention, retail purchase\-trend prediction, and insurance Customer 360 capabilities\.

### What was Amit’s role at Medify, Inc\.?

Amit co\-founded Medify, Inc\., a healthcare venture intended to centralize a patient’s information so stakeholders could work together, share costs, and provide more complete care\. Medify addressed healthcare\-data mismanagement, including unnecessary duplication, heightened data\-security\-breach risk, and patient non\-compliance with medical plans\. Amit developed its business model and a Lean Startup\-based case to alleviate non\-compliance, interviewed more than 30 healthcare and insurance professionals to identify industry pain points, and pitched the business plan to a panel of five investors, entrepreneurs, and professors through NYU’s Launch Start\-Up Lab\.

### What did Amit do with the American Association of Physicians of Indian Origin?

As Innovation and Tech Committee Founder and Chair at the American Association of Physicians of Indian Origin, Amit helped cultivate healthcare product ideas by connecting technologists and physicians\. He organized a healthcare\-innovation roundtable with more than 20 CEOs and thought leaders, drafted correspondence to Congress proposing policy changes for better health\-data infrastructure, and helped manage two multi\-day conventions attended by more than 3,500 physicians and generating $2 million in revenue\. He also organized four meetings in countries including India, Brazil, and South Africa\.

### What did Amit accomplish as a Data Analysis Intern at Taykey?

At Taykey, which was acquired by Innovid, Amit analyzed client advertising performance across platforms including the Facebook Ad Network using metrics such as click\-through rate and like\-through rate\. He advised clients on ad placement to increase clicks and likes to more than 100% of target, produced and presented more than 50 numerical reports for over 15 clients—including Sony, Prudential, Coca\-Cola, and Paramount Pictures—across three advertising platforms such as the Google Display Network\. He also used Python algorithms on Taykey databases to supply data for more than 10 articles published in marketing newsletters including Adweek\.

### What was Amit’s neuroscience research experience at SUNY College at Old Westbury?

As a neuroscience researcher at SUNY College at Old Westbury, Amit worked on research titled “Alcohol Coupling with Endogenous Morphine Release Induced Down Regulation in Mytulis edulis Hemocytes\.” He created a statistical tool to represent average cell shape numerically, used ANOVA, significance testing, and regression analyses, and taught and mentored three junior researchers in laboratory scientific techniques\.

### What did Amit do at the Nassau County Department of Social Services?

As a Nassau County Youth Board Auditing Intern at the Nassau County Department of Social Services, Amit audited reimbursement claims from 13 government\-sponsored youth\-activity agencies to track spending\. He maintained county financial information in Excel and NIFS, the government financial\-tracking program, traveled to agency programs, and supervised three youth social activities\.

### What is Amit’s educational background?

Amit earned a Bachelor of Science in Physics & Finance from NYU Stern School of Business\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/amit\-lodha\-b8a5a766

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