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Data Science with less than a year in Python, SQL & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Driven and quick-learning fresher with strong programming and problem-solving skills. Skilled in Python and experienced in academic projects using modern technologies. Passionate about writing clean code and eager to contribute to real-time projects while continuously learning and growing in a dynamic environment.
Annamacharya PG College of Computer Studies
Master of Computer Applications (MCA) · Computer Applications
August 1, 2023 – June 30, 2025
Gangireddy Degree College
Bachelor of Commerce (B.Com) · Commerce
August 1, 2020 – June 30, 2023
Innomatics Research Labs
Data Science with GenAI Intern
November 1, 2025 – Present
India
Fake News Identification System
June 28, 2026 – Present
Architected a deep learning model using LSTM to classify news articles, achieving 70% accuracy. Engineered a user-friendly GUI using Tkinter for real-time text input and instant prediction results. Preprocessed large-scale textual datasets using NLTK, reducing data noise by 40%.
Cultural Fit Analysis
The candidate's academic background (MCA) and current internship in Data Science with GenAI align well with a Data Science role. The 'Fake News Identification System' project demonstrates initiative and application of relevant technologies. The mention of 'exploring emerging technologies' as a hobby suggests a proactive learning mindset. However, the overall experience is limited to academic projects and internships, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate highlights problem-solving, adaptability, teamwork, and effective communication as soft skills. The project descriptions are clear, suggesting good communication. The academic project and internship indicate a willingness to learn and apply new technologies, which aligns with operational fit for a dynamic environment.