TANISHA JAISWAL

Rajiv Gandhi Institute of Petroleum Technology, Amethi

Jais, Uttar Pradesh, India

Since April 23, 2026

About

Tanisha Jaiswal is a motivated and detail-oriented student with a strong interest in Artificial Intelligence and data-driven problem solving. She is a quick learner with a solid analytical mindset and is eager to apply her knowledge to real-world challenges. She is committed to continuous learning and delivering quality work in a professional environment.

Skills

Machine LearningMachine Learning AlgorithmsArtificial IntelligenceDevOpsData science

Education

Rajiv Gandhi Institute of Petroleum Technology, Amethi

B.Tech · Mathematics and Computing

August 10, 2023 – June 15, 2027

Key Strengths

Strong academic background in Mathematics and Computing (B.Tech, 8.07 CGPA), foundational for AI/ML roles.
Demonstrated practical experience in AI/ML through relevant projects: Stock Price Prediction (LSTM, Streamlit), Mental Health Analyzer (NLP, LangChain, Chatbot), and Weather Predictor (ML, feature engineering).
Hands-on experience as a Data Science Intern, building predictive models with 90% accuracy and performing extensive EDA and data preprocessing on large datasets.
Proficiency in key AI/ML technologies and libraries including Python, TensorFlow, Keras, LangChain, HuggingFace Models, Scikit-learn, Pandas, NumPy, and Streamlit.
Active participation and success in hackathons (Graph-E-Thon winner, Smart India Hackathon runner-up) and selection for prestigious programs (IWM Summer School), indicating strong problem-solving skills, initiative, and leadership potential.
Exposure to web development technologies (HTML, CSS, React.js, Node.js, FastAPI) and MLOps tools (Git/GitHub, Docker, AWS) which are valuable for deploying AI solutions.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0, which evaluates work attitude, stress handling, and team collaboration, raises severe concerns about the candidate's cultural fit. Despite leadership and teamwork indicated by hackathon participation and volunteer work on the resume, the assessment data suggests a fundamental mismatch in these critical areas.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong academic background in Mathematics and Computing (B.Tech, 8.07 CGPA), foundational for AI/ML roles.
Demonstrated practical experience in AI/ML through relevant projects: Stock Price Prediction (LSTM, Streamlit), Mental Health Analyzer (NLP, LangChain, Chatbot), and Weather Predictor (ML, feature engineering).
Hands-on experience as a Data Science Intern, building predictive models with 90% accuracy and performing extensive EDA and data preprocessing on large datasets.
Proficiency in key AI/ML technologies and libraries including Python, TensorFlow, Keras, LangChain, HuggingFace Models, Scikit-learn, Pandas, NumPy, and Streamlit.
Active participation and success in hackathons (Graph-E-Thon winner, Smart India Hackathon runner-up) and selection for prestigious programs (IWM Summer School), indicating strong problem-solving skills, initiative, and leadership potential.
Exposure to web development technologies (HTML, CSS, React.js, Node.js, FastAPI) and MLOps tools (Git/GitHub, Docker, AWS) which are valuable for deploying AI solutions.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit