Tanay K.

Data Scientist, Infrastructure Management Consultant @Freese and Nichols

Fort Worth, TX, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Feb 2023 — Present

Data Scientist, Infrastructure Management Consultant @Freese and Nichols

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Fort Worth, TX, US

At FNI, I serve as a Infrastructure Tech/Management Consultant with perspective to understand current conditions, emerging client needs, regulatory drivers, technology advancements and other factors influencing the market. I coordinate with national and regional leaders to continuously create and deploy effective strategies for LCRR compliance programs. I enable project execution by collaborating with FNI\'s leaders and local technical teams. I contribute towards the preparation of project scope of services, work plans, budgets, schedules and staffing plans.

EDUCATION

2021 — 2024

Datta Meghe College of Engineering CIDCO Sector III Airoli Navi Mumbai 400 708

Bachelor of Engineering - BE

ABOUT TANAY K.

2X winner of the Year in Infrastructure Global Award 2X featured in ENR Magazine With over twelve years of experience in water and wastewater infrastructure systems, I am a Data Scientist at Freese and Nichols (FNI), a leading infrastructure management consultancy firm. I hold an MS degree in Civil and Environmental Engineering from Carnegie Mellon University and multiple certifications in data analytics and hydraulic modeling. At FNI, I leverage my expertise in hydraulic design and modeling, project management, asset management, sustainability and data analytics to deliver innovative and data-driven solutions for infrastructure management. I collaborate with national and regional leaders to create and deploy effective strategies for compliance programs, project execution, and customer satisfaction. I also contribute to the development of interactive data analytics web applications, risk indexing models, and geospatial infrastructure projects that empower clients with informative decision-making tools. I am passionate about advancing infrastructure systems through the use of scientific principles, innovative technologies and data-driven insights.

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