Data Science with less than a year in Machine Learning & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Artificial Intelligence and Data Science graduate with strong skills in Machine Learning, Natural Language Processing, and Data Analysis using Python and SQL. Experienced in building predictive models and AI-driven solutions using TensorFlow and Scikit-learn through real-world projects.
United Institute of Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
WebEpicTechnologiesPvt.Ltd.
Artificial Intelligence Intern
June 1, 2025 – July 31, 2025
Coimbatore, Tamil Nadu, India
AI-Powered Conversational Chatbot using LLMs
June 24, 2026 – Present
Developed an intelligent AI chatbot using Python and Gemini API to generate context-aware, human-like responses. Improved response relevance by 30% using conversation memory and optimized real-time interaction with LLM APIs.
Stock Sentiment Analysis using Artificial Intelligence
June 24, 2026 – Present
Built NLP sentiment model (85% accuracy) classifying 10,000+ financial news & tweets using Logistic Regression and deep learning techniques. Visualized sentiment vs.stock price trends using Seaborn dashboards, improving prediction insights by 30% through clear data-backed reporting.
Popular Applications of Data Science
Great Learning
June 1, 2026 – Present
Data Science Foundations
Great Learning
June 1, 2026 – Present
Type Writing English - Junior Grade
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's interest in Data Science Competitions (Kaggle), open-source contributions, financial markets & AI research, and building ML projects suggests a proactive and continuous learning mindset, which is a strong indicator of cultural fit for a dynamic technical environment. The diversity of projects (chatbot, stock sentiment) shows a breadth of application interest within data science. The listed soft skills also align with collaborative team environments.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, attention to detail, team collaboration, and effective communication as soft skills. These are crucial for a Data Science role. The project descriptions indicate an ability to work on practical problems and deliver measurable improvements (e.g., 'improved response relevance by 30%'). The internship experience also shows operational fit in data processing and model building. However, without direct interview data, the depth of these soft skills cannot be fully assessed.