Vinay S
Bengaluru
Summary
Aspiring Data Scientist and AI Engineer skilled in Machine Learning, Deep Learning, and Generative AI. Experienced in building and deploying AI models, performing data preprocessing, and solving complex problems. Strong focus on continuous learning, analytical thinking, and effective communication.
Overview
3
3
Languages
Work History
Data Science Intern
Atliq Technologies
06.2025 - 07.2025
- Performed data cleaning and preprocessing to ensure high-quality datasets for analysis and modeling.
- Designed and implemented feature engineering techniques to enhance model performance.
- Contributed to model deployment pipelines, ensuring scalability and usability of predictive models.
- Collaborated with clients in the Food & Beverage domain, translating business requirements into data-driven solutions.
Education
Bachelor of Engineering - Computer Science
BNM Institute of Technology
Bengaluru, India 04.2001 -
Pre University - PCMB
KUMARANS COMPOSITE PU COLLEGE
Bengaluru, India 04.2001 -
10th -
MACAULAY HIGH SCHOOL
Bengaluru, India 04.2001 -
Skills
- Programming & Tools: Python, SQL, Git/GitHub, Jupyter Notebook, VS Code, Conda Environments
- Data Science Tools: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
- Machine Learning: Regression, Classification, Clustering, Decision Trees, Random Forest, XGBoost, SVM, KNN, Naïve Bayes
- Deep Learning: ANN, RNN, CNN-based Models (ResNet, others), Encoder–Decoder Models, Transformers
- Generative AI: LLMs, LangChain, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases (FAISS, Pinecone, Chroma)
- Natural Language Processing (NLP): Text Classification, Sentiment Analysis, Information Retrieval, CountVectorizer, TF-IDF, Smoothing Techniques
- Frameworks & Libraries: Flask, PyTorch, TensorFlow, Keras, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
- MLOps & Deployment: Streamlit, MLflow, DagsHub, Experiment Tracking, Model Deployment
Accomplishments
- 1st Place (Solo) – IEEE BNMIT Competitive programming (College Level).
- Secured 771st rank (Solo) in PW Skills Coding Conquest (All India level).
- Reached Pre-Final Round (Team) in Sheriyans Coding School Reimagine Hackathon (All India level).
- Finalist – CodeCrunch Hackathon (College Level).
projects
Car Damage Detection: Developed a Convolutional Neural Network (CNN) using ResNet architecture to detect and classify car damages from images, enhancing accuracy through transfer learning.
E-Commerce Chatbot: Built an intelligent chatbot using LangChain and LLMs to handle customer queries and provide personalized product recommendations.
Research Assistant Tool: Created a web-based research application that extracts content from websites and allows users to ask natural language questions, powered by LLMs for contextual information retrieval.
Machine Learning-Based Crop Price Prediction: Developed a Random Forest regression model as part of a team project for an agriculture app to predict crop prices, providing data-driven insights for farmers.
Timeline
Data Science Intern
Atliq Technologies
06.2025 - 07.2025
Bachelor of Engineering - Computer Science
BNM Institute of Technology
04.2001 -
Pre University - PCMB
KUMARANS COMPOSITE PU COLLEGE
04.2001 -
10th -
MACAULAY HIGH SCHOOL
04.2001 -