Vivek Saha

Associate Consultant

Kolkata, West Bengal, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Passionate about applying AI to real-world challenges.
Hands-on experience in machine learning and data analysis.
Strong leadership skills demonstrated through university initiatives.

Stackforce AI infers this person is a Data Science and Machine Learning enthusiast with a focus on Healthcare applications.

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Skills

Core Skills

Machine LearningData Analysis

Other Skills

Arduino IDEArtificial Intelligence (AI)Computer LiteracyConversational AIData ScienceData StructuresFlaskGitGitHubHazard MitigationJavaScriptLeadershipMicrosoft Azure Machine LearningMicrosoft Certified Systems EngineerMobile Platforms

About

Pursuing Electronics and Communications Engineering at VIT Vellore and a B.Sc. in Data Science and Programming at IIT Madras, I am passionate about applying Data Science, Machine Learning, and AI to solve real-world challenges and transform data into impactful solutions. With hands-on experience in data analysis, machine learning, and AI-driven applications, I have worked on projects ranging from enhancing government platforms with AI to developing road safety hazard detection systems and smart rental solutions. These experiences have strengthened my ability to combine statistical modeling, predictive analytics, and data visualization to generate meaningful insights. Beyond academics, my involvement in the Scouts movement and leadership roles in university fests and student initiatives have built my strengths in teamwork, discipline, and project management. 📌 I am actively open to opportunities in Data Science, Data Analytics, and AI/ML research, where I can leverage my skills to derive insights and create scalable, data-driven solutions.

Experience

Indian institute of technology, roorkee

Summer Research Intern

May 2025 – Jul 2025 · 2 mos · Saharanpur, Uttar Pradesh, India · On-site

Vellore institute of technology

EMG Signal Classification in Lower Limbs using Machine Learning

Aug 2024 – Jan 2025 · 5 mos · Vellore, Tamil Nadu, India · On-site

Designed and trained machine learning models (Random Forest, SVM) to classify EMG signals for gait and posture recognition (for normal and abnormal conditions).
Analyzed differences in muscle activation patterns to differentiate normal vs abnormal lower limb movement.
Presented findings at the 13th International Conference on Soft Computing for Problem Solving (IIT Roorkee, Feb 2025).
Contributed to pre-processing pipeline, signal feature extraction, and model evaluation using real EMG datasets.
Collaborated with faculty and peers to refine methodology and improve model accuracy.

Random ForestSupport Vector Machine (SVM)Machine LearningData Analysis