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Rohan Kotwani

Data Engineer • AI & Machine Learning Engineer • Data Analyst • Raleigh, NC, US
Databases
Algorithms
Research
Statistical Analysis
Data Science
Analytical Thinking
Amazon S3
Data Mining
Web Scrapping
PyTorch
Microsoft 365
Web Research
Deep Learning
Plotly
Big Data
Data Visualization
Websites
MySQL
TensorBoard
Data Scraping
NumPy
Matplotlib
Machine Learning
Amazon Web Services
Docker
Microsoft Visual Studio
NoSQL
Go
SQL
Rust
Backend Development
SciPy
Software Development
Jinja
Python
Available for hire fromNegotiable
Contracts
Data Engineer/Data Scientist/Data Strategy
With a robust educational background in Electrical Engineering, Analytics, and Data Engineering from the University of New Orleans, Louisiana State University, and Udacity, respectively, I have cultivated a diverse skill set in data science and engineering. My professional journey includes significant roles at Accenture, where I designed and implemented data pipelines, developed arbitration models, and gained expertise in Azure Databricks and Data Factory. At ManTech, I deployed impactful machine learning models supporting Customs and Border Protection, specializing in extreme class-imbalanced classification, anomaly detection, and NLP. Currently, as an Open Source Developer at Foolproof, I contribute to open-source projects, ensuring code quality and community collaboration. My experience spans across data engineering, software development, and machine learning, making me adept at solving complex problems and driving technological innovation.

Work History

F

Open Source Developer

FoolproofMar 2024 - Present • 7 mosAs an Open Source Developer, likely contributions include developing and maintaining open-source software projects, collaborating with the community, and ensuring code quality and documentation.
A

Data Engineer

AccentureNov 2022 - Dec 2023 • 1 yr 2 mosAs a Data Engineer, likely contributions include designing and implementing data pipelines, ensuring data quality, and working with cloud platforms and big data technologies.
A

Arbitration Optimization

AccentureMar 2022 - Dec 2022 • 10 mosDevelopment of arbitration models, i.e., speeding up solvers, understanding model output, developing test cases/unit tests, and incorporating the concept of 'fairness' into mixed integer programming models. Analyzed the operational impact of the arbitration models by supporting the development of KPIs and visualizations. Specifically, worked on visualizing the comparison of lost sales between legacy and new arbitration models, developing metrics for sparsity and fairness, and other visualization specific to understanding model outputs.
A

Data Engineer

AccentureDec 2021 - Dec 2022 • 1 yr 1 moGained exposure to Azure Databricks and Data Factory, in the allocation effectiveness track. Worked on moving data from Teradata to Azure ADLS, developing data pipelines in Databricks, and exporting data with Azure CLI for local processing.
M

Data Scientist

ManTechApr 2020 - Aug 2021 • 1 yr 5 mosSuccessfully deployed two models with a large operational impact, and several auxiliary models, while supporting Customs and Border Protection on projects regarding the facilitation and security of cargo and passengers. Worked on all stages of machine learning model deployment, i.e., data engineering (SQL, python), concept-based data mining (Python), model development (TensorFlow, GBM), and deployment validation (Java, gRPC). Gained experience with extreme class-imbalanced classification, anomaly detection, entity resolution, graph network utilization, open-source data collection, NLP, and geospatial encoding. Engaged with clients weekly to present updates and gather new information. Collaborated with data engineers to understand and deploy models in a real-time complex environment.
M

Data Scientist, Modeler

ManTechJan 2018 - Aug 2021 • 3 yrs 8 mosAs a Data Scientist and Modeler, likely contributions include developing and deploying machine learning models, data analysis, and collaborating with cross-functional teams to solve complex problems.
V

Software and Support Engineer

Vidrio TechnologiesOct 2017 - Jan 2018 • 4 mosSupported development of 2-photon microscope, brain-scanning hardware and software.

Education

U

Udacity

Nanodegree, Data Engineering2021
L

Louisiana State University

Master's degree, Analytics2016 - 2017
U

University of New Orleans

Bachelor's degree, Electrical Engineering2011 - 2016

How Pangea Works

Effortlessly discover top talent

We’ve distilled the candidate search from endless hours down to just a few minutes. Using Pangea’s AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company’s niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea’s fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team’s capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We’ve combined every part of the hiring process into one platform to eliminate the miscommunication that’s unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Data Engineer/Data Scientist/Data Strategy
With a robust educational background in Electrical Engineering, Analytics, and Data Engineering from the University of New Orleans, Louisiana State University, and Udacity, respectively, I have cultivated a diverse skill set in data science and engineering. My professional journey includes significant roles at Accenture, where I designed and implemented data pipelines, developed arbitration models, and gained expertise in Azure Databricks and Data Factory. At ManTech, I deployed impactful machine learning models supporting Customs and Border Protection, specializing in extreme class-imbalanced classification, anomaly detection, and NLP. Currently, as an Open Source Developer at Foolproof, I contribute to open-source projects, ensuring code quality and community collaboration. My experience spans across data engineering, software development, and machine learning, making me adept at solving complex problems and driving technological innovation.

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call

Top talent is on Pangea

You are viewing Rohan's profile as a guest. Book a free call with our team to discuss your options for hiring fractional workers on Pangea's industry-leading talent marketplace.

Rohan Kotwani

Data Engineer • AI & Machine Learning Engineer • Data Analyst • Raleigh, NC, US
Databases
Algorithms
Research
Statistical Analysis
Data Science
Analytical Thinking
Amazon S3
Data Mining
Web Scrapping
PyTorch
Microsoft 365
Web Research
Deep Learning
Plotly
Big Data
Data Visualization
Websites
MySQL
TensorBoard
Data Scraping
NumPy
Matplotlib
Machine Learning
Amazon Web Services
Docker
Microsoft Visual Studio
NoSQL
Go
SQL
Rust
Backend Development
SciPy
Software Development
Jinja
Python
Available for hire fromNegotiable
Contracts

Work History

F

Open Source Developer

FoolproofMar 2024 - Present • 7 mosAs an Open Source Developer, likely contributions include developing and maintaining open-source software projects, collaborating with the community, and ensuring code quality and documentation.
A

Data Engineer

AccentureNov 2022 - Dec 2023 • 1 yr 2 mosAs a Data Engineer, likely contributions include designing and implementing data pipelines, ensuring data quality, and working with cloud platforms and big data technologies.
A

Arbitration Optimization

AccentureMar 2022 - Dec 2022 • 10 mosDevelopment of arbitration models, i.e., speeding up solvers, understanding model output, developing test cases/unit tests, and incorporating the concept of 'fairness' into mixed integer programming models. Analyzed the operational impact of the arbitration models by supporting the development of KPIs and visualizations. Specifically, worked on visualizing the comparison of lost sales between legacy and new arbitration models, developing metrics for sparsity and fairness, and other visualization specific to understanding model outputs.
A

Data Engineer

AccentureDec 2021 - Dec 2022 • 1 yr 1 moGained exposure to Azure Databricks and Data Factory, in the allocation effectiveness track. Worked on moving data from Teradata to Azure ADLS, developing data pipelines in Databricks, and exporting data with Azure CLI for local processing.
M

Data Scientist

ManTechApr 2020 - Aug 2021 • 1 yr 5 mosSuccessfully deployed two models with a large operational impact, and several auxiliary models, while supporting Customs and Border Protection on projects regarding the facilitation and security of cargo and passengers. Worked on all stages of machine learning model deployment, i.e., data engineering (SQL, python), concept-based data mining (Python), model development (TensorFlow, GBM), and deployment validation (Java, gRPC). Gained experience with extreme class-imbalanced classification, anomaly detection, entity resolution, graph network utilization, open-source data collection, NLP, and geospatial encoding. Engaged with clients weekly to present updates and gather new information. Collaborated with data engineers to understand and deploy models in a real-time complex environment.
M

Data Scientist, Modeler

ManTechJan 2018 - Aug 2021 • 3 yrs 8 mosAs a Data Scientist and Modeler, likely contributions include developing and deploying machine learning models, data analysis, and collaborating with cross-functional teams to solve complex problems.
V

Software and Support Engineer

Vidrio TechnologiesOct 2017 - Jan 2018 • 4 mosSupported development of 2-photon microscope, brain-scanning hardware and software.

Education

U

Udacity

Nanodegree, Data Engineering2021
L

Louisiana State University

Master's degree, Analytics2016 - 2017
U

University of New Orleans

Bachelor's degree, Electrical Engineering2011 - 2016

How Pangea Works

Effortlessly discover top talent

We’ve distilled the candidate search from endless hours down to just a few minutes. Using Pangea’s AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company’s niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea’s fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team’s capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We’ve combined every part of the hiring process into one platform to eliminate the miscommunication that’s unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
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