Aakash KumarAK
Open to opportunities

Aakash Kumar

@aakashkumar4

Senior Data Scientist specializing in machine learning and AI solutions.

India
Message

What I'm looking for

I am looking for opportunities that foster innovation and collaboration, where I can leverage my expertise in machine learning to drive impactful projects and contribute to a forward-thinking team.

As a Senior Data Scientist at Arya.ai, I have architected innovative solutions for the finance industry, including a comprehensive Cash Flow Forecasting and Credit Assessment System. My work integrates multiple data sources and machine learning pipelines, ensuring that our systems not only meet but exceed industry standards through MLOps best practices. I take pride in delivering measurable business value by implementing algorithmic decision-making tools and managing the entire model lifecycle from development to production deployment.

My experience extends to developing advanced AI models, such as the Qwen vision language model for automated invoice extraction and fine-tuning Mistral-7B-Instruct for financial risk classification. I have successfully deployed containerized APIs for real-time document verification, achieving a remarkable 95% accuracy. My leadership in transforming the APEX API Marketplace has been pivotal in enhancing our FinTech platform's capabilities, ensuring that we provide scalable solutions to global financial institutions.

With a solid foundation in data science and a Bachelor of Technology in Data Science, I am passionate about leveraging emerging technologies to solve real-world business challenges. I thrive in collaborative environments, mentoring teams, and driving projects that harness the power of machine learning to deliver impactful results.

Experience

Work history, roles, and key accomplishments

AR
Current

Senior Data Scientist

Arya.ai

Aug 2021 - Present (3 years 11 months)

Architected and deployed an end-to-end Cash Flow Forecasting and Credit Assessment System for a global investment bank, integrating multiple data sources and ML pipelines with MLOps best practices. Developed and deployed a Qwen vision language model for automated invoice extraction on-premises, implementing a multimodal AI system that processes financial documents with high accuracy.

QU

Business Analyst (Intern)

Quantiphi

Apr 2021 - Aug 2021 (4 months)

Developed machine learning solutions using PyTorch for diverse industry applications, effectively communicating technical concepts to both technical and non-technical stakeholders. Built production-grade ML workloads on cloud platforms, applying data science best practices and optimization methodologies.

TS

Data Scientist (Intern)

Technokart Consultancy Services

May 2020 - Mar 2021 (10 months)

Implemented machine learning pipelines for customer data analysis using pandas and scikit-learn, enhancing customer engagement and business value through data-driven insights. Contributed to ML system architecture leveraging computer vision and NLP techniques to solve industry-specific problems.

Education

Degrees, certifications, and relevant coursework

NM

NMIMS’ MPSTME

Bachelor of Technology, Data Science

Grade: 3.47/4

Studied Data Science, covering Computer Science, Statistics, Engineering, Machine Learning, Deep Learning, Natural Language Processing, and Operations Research. Achieved a CGPA of 3.47/4.

Tech stack

Software and tools used professionally

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