PRAKASH K.
Junior Data Analyst
Open to offersNew to PlatformAbout
Prakash K., a B.Tech graduate, has a solid foundation in computer science with proficiency in Python, SQL, and web development technologies including HTML and CSS. He has hands-on experience through internships and academic projects, particularly excelling in roles related to data analysis. During his tenure as a Data Analyst Intern at IIT Mandi in collaboration with Code First Tech, Prakash demonstrated proficiency in cleaning and organizing structured datasets and used his programming skills to generate and present insightful analyses. His project work includes developing a machine learning-based movie recommendation system using Pandas, NumPy, and Scikit-learn, effectively collaborating with peers in project planning, development, and presentation phases. Prakash's competencies extend to applying Natural Language Processing techniques to extract insights from customer feedback, showcasing his ability as a capable data scientist targeting technology and analytics-driven industries.
Experience
Data Analyst Intern
Code First Tech · 2026 — 2026Participated in a Data Analyst internship, focusing on cleaning and organizing structured datasets. Utilized Python and SQL for basic data analysis, identifying patterns and generating insights. Contributed to report preparation and visualizations, coordinating with team members on project tasks.Customer Feedback Analyst
Code First Tech · 2025 — 2026Employed Python (Pandas, NumPy), SQL, and Excel to clean, process, and analyze structured datasets of customer feedback. Investigated customer satisfaction levels and service improvement areas. Conducted data cleaning, preprocessing, and EDA on large datasets while applying NLP techniques for sentiment classification. Created dashboards and visualizations to convey customer experience metrics, offering actionable insights and recommendations. Streamlined data processing workflows to enhance reporting efficiency.Group Project - Movie Recommendation System
Company not specified · 2025 — 2025Developed a machine learning-driven movie recommendation system, focusing on personalized suggestions. Analyzed movie rating datasets with Pandas and NumPy for cleaning and feature extraction. Implemented collaborative filtering and content-based techniques using Scikit-learn, while designing a user-friendly interface with HTML and CSS. Collaborated on project planning, development, testing, and documentation.
Skills & Expertise
Education
- B.Tech in Computer ScienceNM Institute of Technology
- Data AnalystIIT Mandi
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