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Data Science with less than a year in Machine Learning & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in Data Science and Machine Learning. Proficient in Python, Pandas, NumPy, Scikit-Learn, and SQL for data analysis and predictive modeling. Experienced in building machine learning projects involving data preprocessing, EDA, and model evaluation. Passionate about leveraging data-driven insights to solve real-world problems.
Nbkr Institute of Science and Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Narayana Junior College
Class 12th
June 1, 2019 – May 31, 2021
Raghava Talent School
Class 10th
June 1, 2018 – May 31, 2019
VCODEZCompany
Data Science Intern
November 1, 2025 – April 1, 2026
India
SIMULATED ATM SYSTEM IN PYTHON
June 1, 2026 – Present
Developed a simulated ATM system using Python to emulate the basic functionalities of an ATM. Implemented features including pin verification, Balance Inquiry, Withdraw and deposit, transaction history, Pin change. This project showcases programming concepts like user input handling, conditional statements, loops, and data structures.
STUDENT PERFORMANCE PREDICTION
June 1, 2026 – Present
Developed a Linear Regression model using Python and Scikit-Learn to predict students' exam scores. Cleaned and analyzed the dataset using Pandas and NumPy through data preprocessing and EDA. Evaluated the model using R² Score and MAE to measure prediction accuracy. Identified key factors such as study hours and attendance that influenced student performance.
Basics of Python with Real-Time Examples
Udemy
June 1, 2026 – Present
Data Science Course
Teachnook
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internship are directly aligned with the target role of Data Science, indicating a strong interest and commitment to the field. The academic projects show initiative in applying learned concepts. The certifications further demonstrate a proactive approach to skill development. The breadth of skills is focused on core data science tools, which is appropriate for an entry-level role. However, the overall diversity of projects is limited to regression tasks, and there's no explicit mention of contributions to open-source or community involvement, which could further enhance cultural fit.
Soft Skills & Operational Fit
The candidate's resume mentions demonstrating leadership and teamwork in group projects and being enthusiastic about learning. These indicate a positive attitude towards collaboration and continuous improvement, which are beneficial for operational fit. However, without specific examples or further assessment, the depth of these soft skills cannot be fully evaluated.