Profile Picture

Bhaumik Yadav

Skills

Frontend Development

Crafting responsive and intuitive user interfaces that enhance user experience.

Data Analytics

Transforming complex datasets into actionable insights and data-driven strategies.

ML Research and Model Development

Designing, implementing, and optimizing cutting-edge machine learning models for diverse applications.

Full Stack ML Product Development

Building and deploying end-to-end machine learning solutions, from concept to production.

Check out my professional work at ↓

GitHub

Backend Development

Developing robust backend systems with Python, building scalable APIs, integrating ML models, and enabling seamless full-stack deployments.

About Me

🔹Enthusiastic and career-oriented individual currently pursuing a Bachelor's in Computer Science (B.Tech.) with strong expertise across the complete Machine Learning lifecycle, seamlessly bridging Front-End Development, Data Science, and ML Engineering to deliver intelligent and scalable systems.

🔹Hands-on experience in Computer Vision and Natural Language Processing, applying advanced ML techniques to solve real-world challenges — specializing in critical thinking, enhanced prediction modeling, and effective problem-solving strategies tailored for high-impact B2B and enterprise solutions.

🔹Proficient in Python backend development, building scalable REST APIs, integrating ML models into production pipelines, and deploying end-to-end full-stack AI applications with a focus on reliability, maintainability, and cloud scalability.

🔹Skilled in IT/ML consulting and developing full-stack ML solutions, with both theoretical and practical experience delivering SaaS-based products, enterprise data systems, and industry-specific AI applications across diverse business verticals.

🔹Thrives in fast-paced, dynamic environments, demonstrating adaptability and an agile mindset, with a consistent focus on continuous learning, emerging AI technologies, and efficient cross-functional collaboration.

🔹Proven leadership through collaborative projects, mentoring peers in machine learning and software development practices, and driving measurable results through structured teamwork, innovation, and technical excellence.

🔹Deeply passionate about innovation and technological growth, with a long-term vision of advancing the frontiers of Data Science, Generative AI, and Machine Learning through impactful, data-driven, and ethically responsible solutions.

Tech Stack

Scikit-learn
Seaborn
MS PowerBI
MS Excel
Scikit-learn
Seaborn
MS PowerBI
MS Excel

Experience

ML Consulting Intern

Aurigence Technologies
July 2025 - August 2025
  • Built full-stack SaaS-based ML solutions tailored to industry-specific problems, streamlining adoption of AI in client workflows.
  • Proposed better-performing ML models for market placement, enabling stronger product positioning and competitive differentiation.
  • Analyzed structured and unstructured data to generate insights for leadership presentations, guiding industry-oriented strategic decisions.
  • Conducted market research on competitive AI solutions, identifying innovation gaps and future growth opportunities.
  • Collaborated with cross-functional teams to integrate ML models into client projects, ensuring scalability and measurable performance improvements.

Research Intern

DESIDOC DRDO
Feb 2025 - Jun 2025
  • Researched and authored comparative analysis of LLMs vs. LCMs, highlighting key attributes and limitations for AI applications.
  • Benchmarked multiple NLP/NLU models (BERT, RNN, LSTM, RASA), conducting qualitative and performance-driven analysis to assess practical applicability.
  • Built a TF-IDF based text classification model, achieving higher accuracy than baseline approaches and contributing to ongoing defense AI research.

ML Intern

TagBin
Nov 2024 - Dec 2024
  • Applied computer vision models (YOLOv8 & YOLOv11) to build and deploy real-time object detection systems, enhancing accuracy in company products.
  • Conducted qualitative data assessments, improving training pipelines and ensuring model robustness in production.
  • Collaborated with cross-functional teams to integrate ML models into client projects, ensuring scalability and measurable performance improvements.

Front-End Developer

Spectar Group
Mar 2024 - Apr 2024
  • Designed and developed responsive static and dynamic websites for clients, improving user engagement with clean UI/UX.
  • Utilized ReactJS and ExpressJS to deliver lightweight, fast, and scalable solutions aligned with client needs.
  • Integrated Flask-based real-time features, enabling dynamic interaction and better user experience in web applications.

Technical Intern

Staysafe Solutions
July 2023 - Aug 2023
  • Automated static timesheets for client organizations, reducing manual effort and improving accuracy.
  • Built lightweight web apps using ReactJS and ExpressJS, streamlining operational workflows.
  • Leveraged Flask to develop real-time applications, enabling faster and more reliable client-side processes.

Resume

View Resume

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Projects

HR ATTRITION PREDICTION ANALYSIS

A full-stack data science project with dashboards and analysis app

HEART DISEASE PREDICTION USING ANN

A full-stack ML project with suggestive analysis

KEYWORDS EXTRACTION USING NLP

An ML Research Based model

SPAM EMAIL DETECTION SYSTEM

Spam Email Detection and Sentiment Analysis using Naive Bayes Method