Data Science with 1+ years in AI/ML, Data Analysis, and Python.
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Assessing your cultural and operational fit
Data Science enthusiast with 1.1 years of combined experience as a Trainee Consultant and Data Science Intern. Proficient in Python, SQL, Machine Learning, and Data Analysis, with hands-on experience in building CNNs for image classification and developing RAG-infused models for fake news detection. Committed to leveraging AI/ML skills to solve real-world problems and enhance data-driven decision-making.
Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology, Baramati
Bachelor of Engineering · Artificial Intelligence and Data Science
June 1, 2021 – June 1, 2025
Tuljaram Chaturchand College, Baramati
Class XII
June 1, 2020 – June 1, 2021
Vidya Pratishthan's Marathi Medium School, Baramati
Class X
June 1, 2018 – June 1, 2019
Aceis Services Pvt
Trainee Consultant
July 1, 2025 – Present
India
Edunet Foundation
Data Analysis and IBM Cloud Internship
December 1, 2023 – January 1, 2024
India
Satellite Image Classification-Using-CNN
June 18, 2026 – Present
Developed a Convolutional Neural Network (CNN) using MobileNet architecture to classify satellite images into four categories: water, cloudy, green area, and desert. Achieved high classification accuracy and demonstrating effective application in automated environmental monitoring.
RAG Infused Multimodal Fake News detection
June 18, 2026 – Present
Develop a system for detecting fake news by integrating Retrieval-Augmented Generation (RAG) with multimodal data analysis. This system combines image and textual features with an external knowledge base to enhance context understanding and improve detection accuracy.
Sentimental Analysis Of Restaurant Reviews
June 18, 2026 – Present
Develop a model that can automatically classify reviews as positive ,negative, or neutral.NLP had been used for Text Processing and ML Model for classification.
Course Data Base Management System
IIT Kharagpur through NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest within Data Science, including computer vision (Satellite Image Classification), natural language processing (Sentimental Analysis), and multimodal AI (RAG Infused Fake News Detection). The internship at Edunet Foundation and current role as a Trainee Consultant at Aceis Services Pvt indicate exposure to real-world applications and a willingness to learn. The diverse project portfolio and listed soft skills suggest a good cultural fit for a dynamic and innovative data science team.
Soft Skills & Operational Fit
The candidate lists leadership, adaptability, communication, work ethic, creativity and innovation, analytical thinking, and learning as soft skills. These indicate a potential for good team collaboration and a proactive approach to problem-solving. The academic projects and internship suggest an ability to work on diverse tasks and adapt to new technologies, which is beneficial for operational fit.