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Data Science with less than a year in Data Analysis & Machine Learning.
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Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in data science, machine learning, and analytics through multiple internships. Proficient in Python programming, data analysis, and exploratory data analysis (EDA) with proven ability to extract insights from complex datasets. Completed two data science internships with practical experience in data preprocessing, model development, and business analytics. Strong foundation in statistical analysis, machine learning algorithms, and data visualization. Seeking data analyst, data science, or IT analyst roles to leverage analytical skills and contribute to data-driven decision making.
Amity University
B.Tech · Computer Science
N/A – June 30, 2025
Narayana College
Intermediate · Physics, Chemistry, Mathematics
N/A – May 31, 2021
Sri Chaitanya School
Matriculation (SSC)
N/A – May 31, 2019
Acmegrade
Data Science Intern
July 1, 2024 – December 31, 2024
India
Coincent
Data Science Intern
January 1, 2024 – June 30, 2024
India
AI Medical Chatbot
January 1, 2024 – December 31, 2024
Developed AI-powered medical chatbot using Python and Natural Language Processing techniques Implemented intent recognition and response generation algorithms for accurate user query handling Performed comprehensive data preprocessing including text cleaning, tokenization, and feature extraction Conducted model evaluation using accuracy metrics and confusion matrices to improve reliability Achieved 85%+ accuracy in intent classification through iterative model refinement
Soil Recognition System
January 1, 2024 – December 31, 2024
Built image classification model for soil type recognition using machine learning techniques Performed data preprocessing including image normalization, resizing, and augmentation Implemented feature extraction techniques to identify distinguishing soil characteristics Conducted performance analysis using precision, recall, and F1-score metrics Documented technical findings and presented results to both technical and non-technical stakeholders
Diwali Sales Analysis
January 1, 2024 – December 31, 2024
Conducted end-to-end exploratory data analysis on Diwali sales datasets to identify customer behavior trends Cleaned, transformed, and aggregated large datasets using Python (Pandas) and MS Excel Analyzed revenue patterns, product preferences, and regional sales performance Built interactive visualizations and summary reports supporting data-driven business decisions Identified key insights including peak sales periods, top-performing products, and customer demographics
Python for Data Science
IBM Developer Skill Network
June 1, 2026 – Present
Data Science Internship Certification
Acmegrade
June 1, 2026 – Present
Data Science Internship Certification
Coincent
June 1, 2026 – Present
Build Netflix Clone Using AI
Cuvette Tech
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI Medical Chatbot, Diwali Sales Analysis, and a Soil Recognition System, demonstrates a broad interest in applying data science across different domains. The two data science internships further indicate a commitment to gaining practical experience and aligning with industry practices. The listed skills cover a good breadth of data science tools and techniques, suggesting adaptability and a willingness to learn. The target role of Data Science aligns well with the candidate's educational background, internship experiences, and project portfolio.
Soft Skills & Operational Fit
The candidate highlights strong analytical skills, problem-solving abilities, clear communication, collaboration, and learning agility. These soft skills are well-aligned with the demands of a Data Science role, which often requires translating complex technical findings to non-technical stakeholders and adapting to new methodologies. The project descriptions indicate a systematic approach to problem-solving and an ability to work through the full lifecycle of data analysis and model development.