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Data Science with 1+ years in Machine Learning & Data Analysis
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Aditya Pradhan is a Data Science professional with 1.5 years of experience, specializing in machine learning, data analysis, and data visualization. He has worked as an Associate Analyst at Vaco Binary Semantics LLP and a Data Science Intern at Feynn Labs, contributing to projects in spam detection and movie recommendation. His expertise spans Python, data science frameworks, and AI/ML applications, with a proven track record in driving business improvements and efficient task execution.
Dr. A.P.J. Abdul Kalam Technical University
B-Tech · Computer Science Engineering
August 1, 2020 – June 30, 2024
K.V NO.2 J.L.A Bareilly
12th
June 1, 2020 – May 31, 2020
Vaco Binary Sementics LLP
Associate Analyst
April 1, 2025 – Present
Gurgaon, Haryana, India
Feynn Labs
Data Science Intern
March 1, 2024 – June 1, 2024
Guwahati, Assam, India
Mail Spam detection
January 1, 2026 – June 1, 2026
Developed a high-accuracy (90%) spam detection system that filters unwanted emails from user inboxes. This system leverages machine learning to protect users from malicious content and ensure legitimate messages reach their intended recipients.
View ProjectMovies Recommendation
January 1, 2026 – June 1, 2026
Implemented a movie recommendation system using Python libraries (Pandas, NumPy, Matplotlib). This system leverages user ratings data to identify patterns and suggest movies similar to those a user has enjoyed.
View ProjectData Science Coding Challenge: Loan Default Prediction Coursera Project Network
Coursera Project Network
June 1, 2026 – Present
Data Science Coding Challenge: Churn Prediction Challenge Coursera Project Network
Coursera Project Network
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows interest in AI/ML, Cloud Computing, Blockchain, and Cryptography, indicating a broad curiosity for emerging technologies. Project diversity (recommendation systems, spam detection) and the internship role align with a Data Science career path. The current role as an Associate Analyst, while demonstrating diligence, is less directly aligned with advanced data science responsibilities, which might require a transition period.
Soft Skills & Operational Fit
The candidate's experience as an Associate Analyst highlights attention to detail, time management, and quality assurance, which are valuable operational skills. The internship also shows initiative in AI product/service prototyping. However, direct evidence of advanced problem-solving, leadership, or complex stakeholder communication is limited.