Open to opportunities

Sayak Mukhopadhyay

@sayakmukhopadhyay

Message

I am a Decision Scientist specializing in ML, computer vision, and AI deployments for real-world systems.

India

Message

What I'm looking for

I’m seeking mid-level ML/AI or computer vision roles where I can productionize research, build end-to-end systems, and create measurable business impact within collaborative teams.

I am a Decision Scientist and machine-learning practitioner who builds end-to-end AI solutions and automation for industry and research problems, focusing on computer vision, model deployment, and data-driven decisioning.

My work spans production deployments—such as a Streamlit ML application on Azure and a supply-chain lead-time automation flow—to research breakthroughs. I developed an AUV dock-detection system achieving a 97% success rate and a 93% 3D pose estimator, contributed to multiple peer-reviewed publications, and hold a published patent.

I seek roles where I can bridge research and production, deliver reliable ML systems, and drive measurable business and operational impact in collaborative, engineering-driven teams.

Experience

Work history, roles, and key accomplishments

Current

Decision Scientist

Current

Accenture Strategy

May 2025 - Present (4 months)

Designing an end-to-end automation flow for lead time calculation and intelligent transportation method recommendation using SQL, Python, and AERA to optimize supply chain efficiency for a UK pharmaceutical client.

SQL Python AERA Automation)ETL Data Analysis

Analyst

TresVista

Jul 2024 - Apr 2025 (9 months)

Deployed a user-friendly ML GUI using Streamlit on Azure enabling clients to select tasks, choose models, upload datasets, and generate reports for classification, regression, and time series forecasting, improving accessibility for non-technical users.

Streamlit Azure Python Machine Learning Classification Time Series Model Evaluation

Summer Intern

CSIR-CMERI

Jun 2023 - Jul 2024 (1 year 1 month)

Designed a 3D pose estimation system for AUV docking using OpenCV, achieving 93% accuracy in clean water conditions and integrating with multi-modal detection workflows.

OpenCV Pose Estimation Computer Vision Image Processing Python Deep Learning

Research Intern

CSIR-CMERI

Jan 2024 - Jun 2024 (5 months)

Applied machine learning and computer vision to improve underwater docking for an AUV, developing an object detection and 3D pose estimation pipeline that achieved a 97% success rate in varied turbid conditions.

Computer Vision Object Detection Pose Estimation Sonar Processing Deep Learning Python OpenCV

Research Intern

SCAAI

Jan 2023 - Jun 2023 (5 months)

Researched disease prediction using a UMLS disease-to-symptoms mapping and trained neural networks achieving 98% accuracy, and deployed a user-facing model for symptom-based disease prediction.

UML NLP Neural Networks Python Machine Learning data preprocessing