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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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| Paper Title: | Predictive Analytics and Visualization for Diverse Domains |
| Authors Name: | Y B Shankar Rao , Amarapinni Mohan Sai , Korlapati Sankar Narayana , Maruvada Lakshmi Aparna Bhukta |
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IJRTI_205714
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| Published Paper Id: | IJRTI2508129 |
| Published In: | Volume 10 Issue 8, August-2025 |
| DOI: | |
| Abstract: | This report provides a comprehensive and structured account of the professional experiences, techni- cal competencies, and analytical insights acquired during our internship at Main Flow Services and Technologies. Over the course of the program, we successfully completed four major projects — Student Performance Analysis, Sales Trend Forecasting, Customer Segmentation, and House Price Prediction — each designed to address practical, data- driven challenges in diverse domains. The workflow for these projects followed a rigorous data science pipeline encompassing data acquisition, cleaning, preprocessing, exploratory data analysis (EDA), feature engineering, visualization, and predictive modeling. Ad- vanced Python-based analytical tools, including Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn, were exten- sively employed to transform raw datasets into actionable intelligence. Through these projects, we not only enhanced our tech- nical proficiency in statistical modeling and visualization techniques but also developed a deeper understanding of how structured data pipelines support evidence-based decision-making. The internship served as a bridge be- tween academic theory and industry practice, reinforcing the role of predictive analytics in sectors such as educa- tion, retail, customer behavior analysis, and real estate. The skills and methodologies gained during this period have strengthened our ability to tackle complex analytical problems with precision and professional rigor. |
| Keywords: | Predictive Analytics, Data Visualization, Machine Learning, Data Science, Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Student Performance Analysis, Sales Trend Forecasting, Customer Segmentation, House Price Prediction, Data Preprocessing, Exploratory Data Analysis (EDA), Feature Engineering, Regression, Classification, Clustering, Real Estate Analytics, Retail Analytics, Education Analytics, Statistical Modeling, Predictive Modeling. |
| Cite Article: | "Predictive Analytics and Visualization for Diverse Domains", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.b222-b231, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508129.pdf |
| Downloads: | 000473 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2508129
Registration ID:205714
Published In: Volume 10 Issue 8, August-2025
DOI (Digital Object Identifier):
Page No: b222-b231 Country: Vishakapatnam, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2508129 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2508129 |
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ISSN: 2456-3315
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