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Data Scientist with 1+ years in Data Analytics & 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
Data Science and Analytics Intern with 1 year of experience in data analysis, machine learning, and visualization. Proficient in Python, SQL, and tools like Power BI, Matplotlib, and Seaborn. Successfully developed personalized recommendation systems and job market intelligence platforms, demonstrating strong skills in data preprocessing, predictive modeling, and NLP.
University College of Engineering, Osmania University
Bachelor of Engineering
N/A – June 30, 2024
Artificial Penetration Software Solutions pvt.ltd
Data Science and Analytics Intern
August 1, 2024 – July 31, 2025
Hyderābād, Telangana, India
Personalized Book Recommender Using Data Analytics and Machine Learning
June 30, 2026 – Present
Developed a recommendation system using content-based filtering, collaborative filtering, popularity-based filtering, and mood-based filtering to provide personalized book suggestions. Used Natural Language Processing (NLP) to analyze book features (e.g., title, author, genre) for content-based recommendations. Designed and managed a SQL database to store user profiles, book data, and recommendations, ensuring efficient data handling and retrieval. Built and optimized the recommendation engine using Python with scikit-learn, Pandas, and NumPy for data processing and model implementation.
LinkedIn Job Market Intelligence using NLP and Visualization System
June 30, 2026 – Present
Analyzed thousands of LinkedIn job postings using Natural Language Processing (NLP) to extract high-demand skills, job roles, and industry trends. Built an end-to-end data pipeline for cleaning, transforming, and analyzing job market data using Python and Pandas. Designed interactive dashboards and visualizations using Matplotlib, Seaborn, and Plotly to display salary distribution, job types, experience levels, and geographic trends. Delivered actionable insights to support workforce planning, hiring strategies, and skill development initiatives.
Cultural Fit Analysis
The candidate's academic projects cover diverse applications of data science, from recommendation systems to market intelligence, indicating a broad interest in the field. The internship role as a 'Data Science and Analytics Intern' aligns well with the target role of 'Data Scientist'. The listed skills and project work demonstrate a good fit for a data-driven environment. The candidate's education and project work suggest a proactive learning attitude, which is beneficial for cultural integration.
Soft Skills & Operational Fit
The candidate demonstrates a foundational understanding of data science workflows through academic projects and an internship. Their ability to work on end-to-end data pipelines and deliver actionable insights suggests a practical, results-oriented approach. The project diversity indicates adaptability and a willingness to tackle different problem domains. However, without psychometric or English test scores, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.