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Data Science with less than a year in data analytics, machine learning, and 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 and detail-oriented B.Tech graduate in Data Science with internship experience in data analytics, data processing, and insight generation. Skilled in Python, SQL, Excel, and data visualization with a strong interest in Artificial Intelligence, Machine Learning, and data-driven problem solving. Quick learner with strong analytical and communication skills, eager to contribute to innovative AI and technology-driven projects.
SCMS School of Engineering & Technology
B.Tech · Computer Science – Data Science Specialisation
August 1, 2021 – June 30, 2025
Luminar Technolab
Data Analytics Intern
May 14, 2025 – September 20, 2025
India
Voice Activated Emotionally Intelligent AI Assistant
January 1, 2024 – December 31, 2024
Developed an AI voice assistant using Google Speech Recognition API for real-time speech-to-text conversion, integrated with sentiment analysis to enable emotionally aware responses. Built an interactive GUI for hands-free user interaction, combining NLP-based intent interpretation with a complete end-to-end conversational AI pipeline.
Speaker Identification using Machine Learning
January 1, 2024 – December 31, 2024
Built a speaker recognition system using Naive Bayes and KNN classifiers, covering the full ML pipeline from audio feature extraction to model evaluation. Applied feature engineering and cross-validation to optimise classification accuracy, comparing model performance using confusion matrices and classification reports.
Python and Machine Learning
Camino Infotech
June 1, 2026 – Present
Python Foundation Certification
Infosys
June 1, 2026 – Present
Python Data Analytics with Power BI
NACTET
June 1, 2026 – Present
Problem Solving Through Programming in C
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a willingness to explore diverse applications of data science, from speaker identification to emotionally intelligent AI assistants. The internship experience shows an ability to work in a professional setting and apply learned skills. The breadth of certifications, though mostly foundational, indicates a commitment to continuous learning. However, the experience is limited to academic and internship settings, which might require more mentorship in a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate lists soft skills such as Analytical Thinking, Problem-Solving, Research Mindset, Team Collaboration, Technical Documentation, and Adaptability. These indicate a potential for good operational fit and a proactive approach to problem-solving and teamwork, which are valuable in a data science role. However, these are self-reported and not validated by assessments.