Data Science with 4+ years in Machine Learning & NLP
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Assessing your cultural and operational fit
AI/ML Engineer with hands-on experience in Machine Learning, NLP, Recommendation Systems, Predictive Analytics, and Model Deployment. Skilled in Python, SQL, Scikit-learn, Pandas, NumPy, MLflow, DVC, FastAPI, and Django. Experienced in building end-to-end ML pipelines, feature engineering, model evaluation, experiment tracking, and deploying production-ready AI applications.
Nalanda College of Engineering
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2025
Government Polytechnic, Muzaffarpur
Diploma · Computer Science & Engineering
August 1, 2019 – June 30, 2022
csestudy247.com
AI Developer & Founder
January 1, 2022 – Present
India
Agentic Blog Generator
January 1, 2026 – January 1, 2026
Built an autonomous AI blog generation system using LangGraph and LLMs. Automated research, writing, and image generation workflows.
YouTube Comment Sentiment Analysis
January 1, 2026 – January 1, 2026
Built an end-to-end NLP pipeline for YouTube comment sentiment classification. Applied text preprocessing, TF-IDF feature extraction, and LightGBM modeling. Managed experiment tracking, model registry, and pipeline versioning with MLflow and DVC. Deployed a Fast API with browser frontend and Chrome extension for sentiment inference.
View ProjectEdvely - E-learning Platform
January 1, 2026 – January 1, 2026
Built a scalable full-stack e-learning platform with authentication and course management. Integrated Razorpay payment workflows for online transactions.
Property Price Prediction System
January 1, 2026 – January 1, 2026
Developed a real-time property price prediction system using supervised ML. Built the full pipeline for data preprocessing, model training, and inference. Deployed the model as a production-ready web application.
View ProjectAI-Powered Recruitment System
January 1, 2025 – January 1, 2025
Built a semantic job recommendation system using BERT embeddings and similarity search. Processed more than 17000 job postings to match candidate skills with relevant opportunities. Implemented FAISS-based matching and vector retrieval for efficient recommendation generation. Achieved recommendation accuracy of 85 percent through embedding-based candidate-job matching.
View ProjectData Science & Machine Learning
CampusX
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong passion for AI and Data Science, with diverse projects ranging from recommendation systems to generative AI and sentiment analysis. This breadth of interest and continuous learning aligns well with an innovative and growth-oriented culture. The entrepreneurial background also suggests a proactive and self-starting individual. The projects are all personal, which indicates a strong drive to learn and build, but also means there's no direct evidence of working within a larger team or corporate structure.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and project ownership through their founder role and numerous personal projects. Their ability to manage end-to-end development cycles, from ideation to deployment, suggests good operational fit. The project descriptions indicate a problem-solving mindset and a focus on practical application of AI/ML concepts. However, without specific assessment data on communication or teamwork, it's difficult to fully assess soft skills like collaboration or stress handling.