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Data Analyst with less than a year in data analysis, machine learning & full-stack development
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Assessing your cultural and operational fit
Results-driven BCA and MCA graduate with hands-on experience in data analysis, machine learning, and full-stack development. Proficient in Python, SQL, Excel, Pandas, and TensorFlow. Developed 4 real-world projects including IPL data analysis, e-commerce sales analysis, brain tumor detection using deep learning, and an online bidding system. Seeking a Data Analyst role to leverage analytical and technical skills to deliver actionable business insights.
Acharya Institute of Technology
Master of Computer Applications (MCA)
January 1, 2022 – January 1, 2024
Basaveshwar Science College
Bachelor of Computer Applications (BCA)
January 1, 2019 – January 1, 2022
Vagdevi PU Science College
Pre-University Course - PCM (PUC / 12th) · Physics, Chemistry, Mathematics
January 1, 2017 – January 1, 2019
PETs Rathi and Kavade English Medium School
Secondary School Leaving Certificate (SSLC / 10th)
January 1, 2015 – January 1, 2017
IPL Data Analysis
June 21, 2026 – Present
Analyzed 1,095 IPL matches (2008-2020) to extract key performance insights. Identified Mumbai Indians as most successful team with 144 wins using value_counts(). Performed toss impact analysis revealing only 50.6% win correlation. Identified Virat Kohli as all-time top scorer with 8,014 runs from 1,12,650 delivery records. Created 4 data visualizations (bar, horizontal bar, pie, line charts) using Matplotlib.
View ProjectMRI Brain Tumor Detection
June 21, 2026 – Present
Developed a deep learning model to detect brain tumors from MRI scan images. Built and trained a Convolutional Neural Network (CNN) using TensorFlow and Keras. Implemented image preprocessing and data augmentation techniques to improve accuracy. Classified MRI images into tumor and non-tumor categories using binary classification. MCA final year academic project at Acharya Institute of Technology, Bengaluru.
Online Bidding System
June 21, 2026 – Present
Designed and developed a full-stack web-based online bidding platform. Implemented real-time bidding functionality with user authentication and session management. Built responsive frontend using HTML, CSS, and JavaScript for seamless user experience. Developed backend logic using Java and PHP with database integration. BCA final year academic project at Basaveshwar Science College, Bagalkot.
E-commerce Sales Analysis
June 21, 2026 – Present
Analyzed 99,441 orders and 1,12,650 order items from Brazilian e-commerce dataset. Merged multiple datasets using pd.merge() to create a unified 14-column dataframe. Calculated total revenue of R$1,35,91,643 and average order value of R$120.65. Built monthly revenue trend revealing 14-month growth from R$267 to R$10,10,271. Identified November 2017 as peak revenue month due to Black Friday sales effect.
View ProjectSQL (Basic)
HackerRank (Verified)
June 1, 2026 – Present
Introduction to Data Analytics
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse technical skills, including data analysis, machine learning, and full-stack development. This breadth of interest suggests adaptability and a willingness to tackle different challenges. The focus on independent project completion and sharing insights on LinkedIn indicates a self-starter mentality and a desire for continuous improvement, which are positive indicators for cultural fit in a dynamic team environment. However, the lack of professional experience means cultural fit is primarily inferred from academic achievements and self-driven learning.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Attention to Detail', and 'Quick Learner' as soft skills. These are crucial for a Data Analyst role, suggesting a good operational fit. The project descriptions indicate an ability to break down problems and present findings, which aligns with problem-solving and analytical thinking. However, without direct assessment, the depth of these skills cannot be fully validated.