Data Analyst with less than a year in Data Analysis, Machine Learning & Python.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate and detail-oriented Entry-level Data Analyst with hands-on experience in data analysis, data visualization, and machine learning using Python. Proficient in Python, SQL, Pandas, NumPy, and Power BI, with the ability to derive meaningful insights from data and support data-driven decision-making. A flexible and adaptable engineering graduate who is open to challenges, quick to learn, and eager to contribute to analytical projects in a dynamic and growth-oriented environment.
APJ Abdul Kalam Technological University - College of Engineering, Perumon, Kollam
Bachelor of Technology · ComputerScience
January 1, 2021 – January 1, 2025
ARCITE PROJECT MANAGEMENT CONSULTANCY
DATA SCIENCE ENGINEER TRAINEE
January 1, 2026 – June 1, 2026
India
Gen AI Project using LLaMA 3.1 (End-to-End)
June 1, 2026 – Present
• Promoted an end-to-end Generative AI application using LLaMA 3.1, handling 100+ user interactions with 95%+ accurate and context-aware responses. • Implemented multi-step reasoning and prompt engineering within agentic AI workflows, increasing task execution accuracy by 7% and reducing human intervention by 15+ actions. • Deployed the application using Python, FastAPI, and Streamlit, enabling real-time inference (<2s latency) and scalable API-based access.
Crop Recommendation System using Machine Learning
June 1, 2026 – Present
• Preprocessed 5000+ agricultural records using Pandas and NumPy and trained a Scikit-learn model to predict suitable crops based on soil nutrients and environmental parameters. • Improved prediction reliability by 15% through feature selection and hyperparameter tuning, reducing model error and improving consistency • Achieved ~98% prediction accuracy and deployed the solution as a Flask web application with an HTML & CSS interface.
Face 2 Future (2025)
January 1, 2025 – December 31, 2025
• Organised an AI-based interview evaluation system using Python and Streamlit to analyze facial expressions, voice features, and spoken responses during mock interviews. • Enabled multi-modal assessment by integrating OpenCV and DeepFace for emotion detection and Librosa for speech and voice analysis. • Stored evaluation results in MongoDB and generated real-time feedback and performance dashboards for performance improvement.
Introduction To Modern AI
CISCO Networking Academy
June 1, 2026 – Present
SWAYAM Certification in Project Management
NPTEL
June 1, 2026 – Present
Introduction to MS Excel
Microsoft | Simplilearn SkillUp
June 1, 2026 – Present
Diploma in DataScience and Machine Learning with Python
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including Gen AI, agricultural ML, and multi-modal AI for interviews, demonstrates a broad interest in applying data science to various domains. The listed certifications and participation in a college-level hackathon indicate a proactive learning attitude and engagement with the tech community. While the experience is limited to a trainee role, the breadth of skills and project work suggests an eagerness to contribute and adapt, which aligns well with a culture that values continuous learning and innovation. The target role of Data Analyst aligns with the candidate's stated skills in Python, SQL, Pandas, NumPy, Power BI, and Tableau, indicating a good foundational fit.
Soft Skills & Operational Fit
The candidate's profile highlights being 'passionate and detail-oriented,' 'flexible and adaptable,' 'open to challenges,' and 'quick to learn.' The experience description mentions 'collaborated with team members to translate business requirements into data-driven solutions,' indicating teamwork and problem-solving skills. These traits suggest a good operational fit for a dynamic, growth-oriented environment, aligning with the collaborative nature often required in data analysis roles.