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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
Computer Science (AI) graduate with hands-on experience in Python, Machine Learning, and Natural Language Processing. Skilled in building end-to-end ML models, data preprocessing pipelines, and full-stack NLP applications. Passionate about applying technical and problem-solving skills to real-world AI challenges.
G. Pullaiah College of Engineering & Technology
B.Tech · CS (AI)
August 1, 2021 – June 30, 2025
Sri Chaitanya Jr. College
Intermediate · MPC
June 1, 2019 – May 31, 2021
Tagore High School
SSC
June 1, 2019 – May 31, 2019
GeeksforGeeks
Data Science Training (Batch 6)
August 1, 2025 – Present
India
AI-Driven Chatbot for College Enquiry
January 1, 2024 – December 31, 2024
Engineered a multi-module chatbot resolving 80% of student enquiries using NLP and Deep Learning. Applied TF-IDF and spaCy for intent recognition; integrated Google Speech API and gTTS for voice I/O. Deployed via Flask HTTP server; designed modular architecture for independent testing and debugging.
Text Summarization Tool
January 1, 2023 – December 31, 2023
Built an extractive NLP summarization pipeline reducing content read-time by 60% while retaining key insights. Designed a reusable, pipeline-based architecture with clear preprocessing, processing, and output stages.
Facial Emoji Recognition
January 1, 2023 – December 31, 2023
Trained a Convolutional Neural Network to classify seven facial expressions in real-time using OpenCV. Implemented model evaluation, confusion matrix analysis, and visualization using deep learning techniques.
Data Science Batch 6
GFG
June 1, 2026 – Present
DSA - Smart Interviews
GFG
June 1, 2026 – Present
Python for DS
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI/ML applications, aligning well with a Data Science role. The diversity of projects (chatbot, text summarization, facial recognition) shows breadth in applying different ML techniques. The ongoing internship and certifications indicate a commitment to continuous learning and professional development. The candidate is still in college, which means they are likely adaptable and eager to learn new technologies and methodologies, fitting into a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight structured problem-solving, modular design, and iterative debugging, which are positive indicators for operational fit. The academic achievements and active workshop participation suggest a proactive and engaged individual. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.