Nikhil Chowdhury

Data Processing Co-Ordinator

Modelyze Labs AI

May 2026 - Current (5 months)

Desarrollo Back-End: Diseñar, desarrollar y mantener servicios y microservicios robustos, eficientes y seguros utilizando Node.js (y frameworks como Express, NestJS o Fastify). Creación de APIs: Diseñar e implementar APIs RESTful o GraphQL estructuradas y limpias que sirvan como el núcleo de la lógica de negocio del producto. Gestión de Bases de Datos: Conectar las aplicaciones con bases de datos relacionales y no relacionales (como MongoDB, PostgreSQL, MySQL o Redis), optimizando las consultas para un manejo masivo de datos. Integración Front-End: Colaborar de cerca con los desarrolladores front-end para integrar de forma eficiente la lógica del servidor con la interfaz de usuario. Programación Asíncrona: Implementar arquitecturas orientad

Data Processing Co-Ordinator

Modelyze Labs AI

Apr 2026 - Current (6 months)

Desarrollo Back-End: Diseñar, desarrollar y mantener servicios y microservicios robustos, eficientes y seguros utilizando Node.js (y frameworks como Express, NestJS o Fastify).Creación de APIs: Diseñar e implementar APIs RESTful o GraphQL estructuradas y limpias que sirvan como el núcleo de la lógica de negocio del producto.Gestión de Bases de Datos: Conectar las aplicaciones con bases de datos relacionales y no relacionales (como MongoDB, PostgreSQL, MySQL o Redis), optimizando las consultas para un manejo masivo de datos.Integración Front-End: Colaborar de cerca con los desarrolladores front-end para integrar de forma eficiente la lógica del servidor con la interfaz de usuario.Programación Asíncrona: Implementar arquitecturas orientadas a

Data Processing Associate - lll

Modelyze Labs AI

Mar 2026 - Apr 2026 (2 months)

Desarrollo Back-End: Diseñar, desarrollar y mantener servicios y microservicios robustos, eficientes y seguros utilizando Node.js (y frameworks como Express, NestJS o Fastify).Creación de APIs: Diseñar e implementar APIs RESTful o GraphQL estructuradas y limpias que sirvan como el núcleo de la lógica de negocio del producto.Gestión de Bases de Datos: Conectar las aplicaciones con bases de datos relacionales y no relacionales (como MongoDB, PostgreSQL, MySQL o Redis), optimizando las consultas para un manejo masivo de datos.Integración Front-End: Colaborar de cerca con los desarrolladores front-end para integrar de forma eficiente la lógica del servidor con la interfaz de usuario.Programación Asíncrona: Implementar arquitecturas orientadas a

Data Processing Associate - ll

Modelyze Labs AI

Nov 2025 - Mar 2026 (5 months)

Desarrollo Back-End: Diseñar, desarrollar y mantener servicios y microservicios robustos, eficientes y seguros utilizando Node.js (y frameworks como Express, NestJS o Fastify).Creación de APIs: Diseñar e implementar APIs RESTful o GraphQL estructuradas y limpias que sirvan como el núcleo de la lógica de negocio del producto.Gestión de Bases de Datos: Conectar las aplicaciones con bases de datos relacionales y no relacionales (como MongoDB, PostgreSQL, MySQL o Redis), optimizando las consultas para un manejo masivo de datos.Integración Front-End: Colaborar de cerca con los desarrolladores front-end para integrar de forma eficiente la lógica del servidor con la interfaz de usuario.Programación Asíncrona: Implementar arquitecturas orientadas a

Data Analyst - II

Modelyze Labs AI

Apr 2025 - Nov 2025 (8 months)

I manage and analyze weekly operational data to create accurate and actionable progress metrics. My role focuses on ensuring data integrity, producing consistent reports, and supporting informed decision-making across teams.

🔹 Collect and clean weekly data from multiple sources
🔹 Generate performance metrics and visual reports using Excel and BI tools
🔹 Create dashboards to track trends, progress, and KPIs
🔹 Collaborate with teams to deliver insights and improve reporting processes
🔹 Ensure data accuracy and identify key opportunities for process improvement

This role combines technical data handling with business insight, helping drive transparency and continuous improvement across operations.

Apprentice Forward Programme

McKinsey Company

Apr 2025 - Jun 2025 (3 months)

This experience has been incredibly enriching — from learning McKinsey’s problem-solving approach to working alongside inspiring professionals and gaining real-world insights into consulting.

Core Skills - Data Modelling, LLM, NLP Technologies

Grateful for the mentorship, collaboration, and opportunity to grow both personally and professionally. Looking forward to applying these skills and continuing the journey of impact and learning.

Thank you to everyone at McKinsey & Company who made this program possible! 🙌

#McKinsey #ApprenticeForward #Consulting #CareerGrowth #LearningJourney #Gratitude

Data Analyst - I

Modelyze Labs AI

Feb 2024 - Mar 2025 (1 year 2 months)

I transform raw data into actionable insights that help guide strategic and operational decisions. My work involves collecting, cleaning, analyzing, and visualizing data to support cross-functional teams in achieving their goals.

🔹 Extract, clean, and analyze large datasets from various sources
🔹 Build interactive dashboards and reports using tools like Power BI / Tableau / Excel
🔹 Identify trends, patterns, and anomalies to support business strategy
🔹 Collaborate with stakeholders to define KPIs and reporting needs
🔹 Present insights in a clear, concise, and impactful manner
🔹 Support data-driven decision-making across departments

I focus on delivering accurate, timely, and meaningful in

Data Analyst - I

Doxel

Jul 2023 - Jan 2024 (7 months)

I play a key role in preparing high-quality labeled datasets that are essential for training and improving AI and machine learning models. My focus is on accuracy, consistency, and attention to detail in handling data of various types.

🔹 Annotate and label data according to project-specific guidelines
🔹 Review and validate labeled data to ensure consistency and accuracy
🔹 Work closely with data scientists and ML engineers to improve labeling standards
🔹 Use annotation tools to manage and track large datasets efficiently
🔹 Maintain high productivity while meeting strict quality benchmarks
🔹 Provide feedback to improve labeling processes and tools

My work supports the development of reliabl

Data Engineer

Ask Media Group

Nov 2022 - Jun 2023 (8 months)

I design, build, and maintain robust data pipelines and architectures that enable efficient data flow and support analytics, reporting, and machine learning initiatives.

🔹 Develop and optimize ETL/ELT pipelines to process structured and unstructured data
🔹 Design scalable data architectures and databases for performance and reliability
🔹 Integrate data from multiple sources (APIs, cloud storage, databases, etc.)
🔹 Ensure data quality, integrity, and security through validation and monitoring
🔹 Collaborate with data analysts, scientists, and business stakeholders to meet data needs
🔹 Automate workflows and improve data infrastructure using tools like Python, SQL, Spark, Airflow, and cloud platforms (

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Nikhil Chowdhury

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