Data Analytics & BI

Customer Success Stories

The Company

NVIDIA is a leading technology company known for designing graphics processing units (GPUs) for gaming, AI, data centers, and automotive markets.

The Role

Senior Data Engineer

The Requirement

The ideal candidate needed expertise in data processing frameworks, database management, programming languages like Python and SQL, and experience with big data technologies and cloud platforms.

The Process

Emerge Tech’s process included:

Initial Consultation: We discussed NVIDIA's requirements and culture.
Candidate Sourcing: Leveraging our network, we identified top talent.
Screening and Assessment: We evaluated candidates' technical skills and fit.
Candidate Presentation: We presented a shortlist of qualified candidates.
Offer Management: We assisted in negotiating offers and onboarding.

The Outcome

The addition of the Data Engineer significantly contributed to NVIDIA's big data projects, accelerating innovation, improving decision-making, and driving business growth. With enhanced data infrastructure and expertise, NVIDIA was better positioned to maintain its competitive edge and continue pushing the boundaries of AI and high- performance computing.

Overall, the successful outcome of our recruitment process reinforced our commitment to delivering exceptional talent solutions and partnering with leading companies like NVIDIA to achieve their business objectives in the dynamic field of technology and data analytics.

The Company

Accenture is a global professional services company known for its expertise in strategy, consulting, digital, and technology services, driving innovation and digital transformation for clients worldwide.

The Role

Machine Learning Engineer

The Requirement

Candidates needed expertise in machine learning algorithms, Python/R programming, TensorFlow/PyTorch, and cloud platforms, with knowledge of data engineering and software development practices preferred.

The Process

Consultation: Understanding Accenture's needs and culture.
Sourcing: Identifying candidates with relevant skills. Screening: Evaluating technical proficiency and fit.
Interview Coordination: Facilitating interviews with Accenture.
Decision-making: Collecting feedback for informed decisions.
Offer Management: Assisting in negotiations and onboarding.

The Outcome

The selected ML Engineer brought valuable expertise in machine learning algorithms, programming languages, and data analysis, enhancing Accenture's capabilities in developing and deploying machine learning solutions.

The addition of the Machine Learning Engineer significantly contributed to Accenture's AI projects, accelerating innovation and improving the effectiveness of their solutions for clients. With enhanced machine learning capabilities, Accenture was better positioned to drive digital transformation and deliver impactful outcomes for their clients across various industries.

The Company

Domino Data Lab is a leading data science platform, providing a collaborative environment for organizations to develop and deploy models at scale.

The Role

Lead Data Scientist

The Requirement

The ideal candidate needed expertise in statistical analysis, data modeling, Python/R programming, and machine learning libraries.

The Process

Emerge Tech's strategic approach included:

Consultation: Detailed discussions with Domino Data Lab to understand requirements and culture.
Sourcing: Leveraging our network to identify potential candidates.
Screening: Thorough assessment of candidates' technical proficiency and fit.
Interview Coordination: Facilitated interviews and provided support.
Feedback and Decision-making: Collected feedback for informed decision-making.
Offer Management: Assisted in negotiating a competitive offer.

The Outcome

Through our recruitment efforts, we successfully placed a highly qualified Data Scientist at Domino Data Lab. The selected candidate brought valuable expertise in data analysis, modeling, and machine learning, enhancing Domino Data Lab's capabilities in developing and deploying data science solutions.

The addition of the Data Scientist significantly contributed to Domino Data Lab's data science projects, accelerating innovation and improving the efficiency of model development and deployment processes. With enhanced data science capabilities, Domino Data Lab was better positioned to deliver impactful solutions to their clients and drive business growth.

The Company

Boston Consulting Group (BCG) is a global management consulting firm renowned for providing strategic advice to businesses worldwide.

The Role

Data Architect (Cloud)

The Requirement

Candidates required expertise in data modeling, database management, and cloud platforms like AWS or Azure, along with strong communication skills.

The Process

Our tailored approach included:

Consultation: Understanding BCG's needs and culture.
Sourcing: Identifying candidates with relevant experience.
Screening: Assessing technical skills and fit. Interview Coordination: Facilitating interviews with BCG.
Feedback and Decision-making: Collecting feedback for informed decisions.
Offer Management: Assisting in negotiations and onboarding.

The Outcome

Through our recruitment efforts, we successfully placed a highly qualified Data Architect at BCG. The selected candidate brought extensive experience and expertise in data architecture, contributing significantly to BCG's Data Architecture project. With the Data Architect onboard, BCG was able to design and implement robust data infrastructure solutions, enabling efficient data management and analysis to support strategic decision- making and drive business growth.

The successful outcome of our recruitment process underscored our commitment to delivering exceptional talent solutions and supporting BCG in achieving their data architecture objectives effectively. Our partnership with BCG exemplified our dedication to providing top-tier talent and contributing to the success of industry- leading organizations.

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