Welcome to my portfolio
Basudab Chowdhury
AI, Data Science & BI Solutions Strategist
Building intelligent, data-driven systems that automate decisions and shape the future.
AI & BI Solutions Specialist with deep expertise in Large Language Models (LLMs), Computer Vision, and Business Process Automation. Skilled in cloud platforms, machine learning, data science, and analytics—translating complex data into actionable intelligence. Experienced in leading teams, optimizing models, and driving business growth through AI-powered automation and insights.
About Me
Passionate about creating intelligent systems that solve real-world problems
I am an AI & BI specialist with deep expertise in designing and deploying cutting-edge AI solutions, including Large Language Models (LLMs), Computer Vision, and advanced machine learning systems. I combine technical mastery with strategic vision, enabling organizations to leverage AI for actionable insights, automation, and business growth.
With extensive experience leading cross-functional teams, I excel at translating complex AI/ML research into practical, scalable solutions. My expertise spans cloud platforms, data engineering, model optimization, vector databases, embeddings, RAG pipelines, and end-to-end ML/DL project development.
Beyond technical execution, I specialize in business process automation and organizational efficiency, helping businesses implement AI-driven workflows that reduce costs, enhance decision-making, and accelerate performance. I also provide consultancy to guide enterprises in adopting AI strategies, integrating data solutions, and optimizing operations through intelligent automation.
Passionate about bridging innovation with execution, I thrive at the intersection of technology, strategy, and leadership—delivering both transformative AI solutions and measurable business impact.
Core Competencies
AI & LLMs
LangGraph, Autogen, LangChain, RAG
Computer Vision
OpenCV, Neural Networks, Real-time Processing
Cloud Platforms
AWS, Azure, GCP, Linux Servers
Databases
PostgreSQL, MongoDB, Weaviate, Redis
Data Analytics
Tableau, Power BI, Pandas, Apache Spark
MLOps
Docker, Kubernetes, CI/CD, Git
Certifications & Expertise
Professional Experience
My journey in AI and Data Engineering
Manager BI & AI Researcher
Aman Group Ltd
Key Achievements:
- 1Designed and implemented AI solutions leveraging Large Language Models (LLMs) and Computer Vision to address complex business challenges, reducing processing time by 15% and increasing productivity by 10%.
- 2Fine-tuned LLMs using Hugging Face Transformers for specific use cases, improving model accuracy by 12% and reducing training time by 20%.
- 3Developed and fine-tuned AI models integrating multimodal data (text and image analysis) for practical business applications, achieving 95% accuracy in cross-modal tasks.
- 4Created robust APIs to enable seamless integration of AI tools into existing business systems, reducing integration time by 30%.
- 5Optimized AI workflows using MLOps practices, including automated deployment, model tracking, and continuous monitoring, cutting deployment errors by 40%.
- 6Worked on Automatic Speech Recognition (ASR) systems, achieving 90%+ transcription accuracy and enabling voice-driven applications to improve user experiences.
Senior Manager Business Intelligence & AI Engineer
Praava Health
Key Achievements:
- 1Designed and developed AI-powered dashboards integrating predictive analytics, Large Language Models (LLMs), and generative AI to deliver actionable insights, improving decision-making efficiency by 25%.
- 2Implemented LLM-based solutions to automate reporting and generate dynamic content, reducing manual effort by 30% and accelerating report generation by 40%.
- 3Deployed advanced AI and analytics tools to support strategic initiatives across Marketing, Sales, Product, and Finance, increasing cross-departmental productivity by 15%.
- 4Led AI R&D projects focused on LLMs, generative AI, and machine learning, optimizing workflows and driving innovation, resulting in 20% faster model deployment cycles.
- 5Spearheaded the adoption of AI technologies across the organization, improving operational efficiency by 20% and reducing costs by 15%.
Manager - Business Intelligence
Daraz (Alibaba Group)
Key Achievements:
- 1Led the BI team in designing and implementing data visualization dashboards, enhancing data accuracy and reporting speed by 50%.
- 2Collaborated with stakeholders to gather requirements and deliver actionable insights, improving decision-making efficiency by 25%.
- 3Built self-service reporting tools using SQL queries, empowering business users to generate reports independently and reducing query resolution time by 30%.
- 4Developed predictive models using data mining and statistical techniques, increasing the accuracy of business forecasts by 20%.
- 5Streamlined data workflows and improved data quality, reducing errors in reporting by 15%.
Data Scientist
LeReve (Textile RMG)
Key Achievements:
- 1Worked with various reporting tools (Tableau, Power BI, Excel) to design and continuously improve dashboards, enhancing user experience and increasing adoption by 30%.
- 2Analyzed enterprise datasets to identify trends and insights, simplifying product development and improving marketing strategies, leading to a 15% increase in customer engagement.
- 3Developed and deployed predictive models using machine learning algorithms, increasing customer retention by 25%.
- 4Collaborated with stakeholders to deliver actionable insights and reports, improving decision-making efficiency by 20%.
- 5Optimized dashboard performance and data visualization, reducing report generation time by 40%.
Data Analyst
Indigo Yin - ULTRALYSIS
Key Achievements:
- 1Developed and implemented databases, data collection systems, and data analytics strategies to optimize statistical efficiency, improving data processing speed by 30%.
- 2Analyzed large datasets using SQL and Python, generating actionable insights that boosted operational efficiency by 25% and supported data-driven decision-making.
- 3Built predictive models and machine learning algorithms to solve business problems, increasing forecast accuracy by 20%.
- 4Collaborated with cross-functional teams to identify key metrics and deliver insights, reducing decision-making time by 15%.
- 5Automated data analysis workflows, saving 10+ hours per week in manual effort.
Education
Bachelor of Computer Science & Engineering
Institute of Science Trade & Technology
Specialized in Computer Science & Engineering
2018
Availability
Current availability for projects and opportunities
Consulting
Expert guidance on AI/ML strategy and implementation
Full-Time Opportunities
Open to discussing AI Engineer positions
Speaking Engagements
Conferences, workshops, and educational events
Advisory Roles
Advisory roles for startups and established companies
Open Source
Contributing to meaningful open source AI projects
Get In Touch
Let's discuss how we can work together on your next AI project