Headline

Data Scientist Intern at BDreamz Tech Global

About

I am a Data Scientist with hands-on experience in Machine Learning, Deep Learning, Natural Language Processing (NLP), Data Analysis, and Python Development. I have completed my B.Tech in Computer Science and Engineering from NIST University, Berhampur, and have practical experience developing data-driven solutions through internships and real-world projects. During my internships at BDreamz Global Solutions, Central Tool Room & Training Centre (CTTC - MSME, Government of India), and NIST University, I worked on machine learning applications involving data preprocessing, exploratory data analysis (EDA), feature engineering, predictive modeling, and model evaluation. These experiences strengthened my ability to transform raw data into actionable business insights. My technical expertise includes Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Flask, Power BI, Tableau, Git, Docker, and Microsoft Azure. I have built end-to-end projects such as a Resume Screening NLP Engine and a Personal Finance Analyzer, applying machine learning techniques to solve real-world problems. I am passionate about building intelligent systems, developing scalable Python applications, and leveraging data to drive better decision-making. I am currently seeking opportunities as a Data Scientist, Machine Learning Engineer, AI Engineer, or Python Developer, where I can contribute, learn, and grow while delivering impactful AI and data-driven solutions.

Location

Greater Bengaluru Area

AI stack

claude code

langchain

langgraph

ollama

Work experience

Data Scientist Intern at BDreamz Tech Global, Feb 2026 - Jul 2026 · 6 mos, Bengaluru, Karnataka, India, • Designed and optimized RAG pipelines using LangChain with FAISS and ChromaDB for semantic retrieval. • Developed Python backend services and REST APIs with FastAPI to enhance Generative AI features. • Engineered prompt templates and optimized LLM inference workflows, reducing API response latency by 30%.

Artificial Intelligence / Machine Learning Intern at Central Tool Room & Training Centre (MSME) Government of India, Jun 2025 - Jul 2025 · 2 mos, Analyzed 10K+ industrial records using Python to identify patterns and support predictive analysis. • Performed data cleaning, preprocessing, and exploratory data analysis (EDA) using Python and Pandas; automated workflows reducing manual effort by ~40%. • Applied feature engineering and statistical evaluation metrics (F1-score, recall) to improve model performance and generate data-driven insights

Machine Learning Intern at Central Tool Room & Training Centre (MSME) Government of India, Jun 2025 - Jul 2025 · 2 mos

Machine Learning Intern at NIST University, Jul 2024 - Aug 2024 · 2 mos, Brahmapur, Odisha, India, Collected and processed image datasets using Python for data analysis and machine learning experiments. • Applied data preprocessing and feature extraction techniques to improve model accuracy and robustness. • Conducted model validation and performance evaluation using standard ML metrics and documented experimental insights.

Computer vision using machine learning intern at NIST University, Jul 2024 - Aug 2024 · 2 mos, • Collaborated with the technical team on a machine learning project focused on computer vision. • Conducted data collection and cleaning to ensure high-quality input for model building. • Assisted in developing and testing predictive models using Python, enhancing technical skills. • Documented the approach and findings, contributing to knowledge sharing within the team.

Education

NIST University