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Data Science with less than a year in data analysis, machine learning, and deep learning projects. P
Aryan Rajendra Shingan is an enthusiastic professional currently pursuing an MTech in Data Science & Analytics. With a solid foundation in Information Technology, Aryan has gained practical experience as a Data Analyst Intern, working on data categorization, annotation, machine learning projects, and data visualization using Power BI and Tableau. Their technical expertise spans data analysis, machine learning, deep learning, and generative AI, complemented by strong soft skills in leadership and teamwork. Aryan is actively engaged in developing impactful projects, demonstrating proficiency in Python, MySQL, and various development tools.
MIT World Peace University
MTech · Data Science & Analytics
August 1, 2024 – June 30, 2026
Sinhgad Institute of Technology
B.E · Information Technology
August 1, 2020 – June 30, 2024
Data Lumina
Data Analyst Intern
October 1, 2025 – Present
Pune, Maharashtra, India
InLighNX Global Pvt Ltd
Data Analyst Intern
October 1, 2025 – Present
Bengaluru, Karnataka, India
CT Imaging-Based Ensemble Deep Learning Model for Lung Cancer Detection
January 1, 2025 – June 1, 2026
• Built an automated ensemble model for lung cancer detection using machine learning. • Performed data preprocessing and implemented ResNet50, DenseNet121 and EfficientNetB0. • Evaluated model performance with Accuracy, Precision, F1-score, Recall and Accuracy comparison graph and Identified the best performing model.
House Price Prediction using Machine Learning
January 1, 2024 – December 31, 2024
• Built a predictive model for house price prediction. • Used patient regression techniques for prediction.
Unused Medicine Donation System
January 1, 2023 – December 31, 2023
• Built a web platform connecting donors with recipients for unused donation. • Built a website that helps to donate or sell unused medicine using HTML,CSS,JS,SQL.
Cloud Computing
NPTEL
January 1, 2024 – Present
Python Programming
The Kiran Academy
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying data science to real-world problems (e.g., lung cancer detection, house price prediction). The 'Unused Medicine Donation System' project also shows an inclination towards socially impactful work. The diverse project types (academic, personal) and involvement in college activities suggest a proactive and engaged individual. However, the current internship roles are very recent and lack detailed descriptions of impact, making it harder to fully assess cultural fit beyond academic and personal interests.
Soft Skills & Operational Fit
The candidate lists leadership, teamwork, time management, active listening, and a positive attitude as soft skills. Participation in college clubs as Director and President suggests experience in team coordination and event management, which are positive indicators for operational fit and collaboration within a team.