Data Analyst with less than a year in Data Analysis & Machine Learning
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Assessing your cultural and operational fit
To start my career in a dynamic organization where I can utilize my knowledge of Data Analysis to develop innovative solutions. I seek opportunities to work on impactful projects, enhance my problem-solving skills, and stay updated with emerging technologies. I am committed to continuous learning and contributing meaningfully to organizational success.
Vishwakarma Government Engineering College
B.E. · Computer Engineering
August 1, 2026 – Present
Coventry Scholars Senior Secondary School
Higher Secondary Education
June 1, 2022 – May 31, 2022
Coventry Scholars Senior Secondary School
Senior Secondary Education
June 1, 2020 – May 31, 2020
Microsoft Elevate
AI/ML Intern
January 21, 2026 – April 10, 2026
India
CSRBOX
Data Analyst Intern
July 2, 2025 – July 16, 2025
India
Healthcare and Medical Prediction
January 1, 2026 – June 1, 2026
Developed an AI-powered medical image classification system using Python, Flask and TensorFlow to detect Diabetic Retinopathy from retinal fundus images. Built a responsive Flask web application enabling users to upload retinal images and receive real-time DR/NO_DR predictions. Trained and evaluated the model on labeled medical image datasets, integrating CNN-based computer vision workflows and automated prediction pipelines.
View ProjectElectric Vehicle (EV) Market Exploration & Market Size Analysis
January 1, 2026 – June 1, 2026
Developed an interactive EV analytics dashboard using Python, Streamlit, Plotly, and Pandas Analyzed EV market trends and manufacturer performance using real-world datasets. Implemented Machine Learning forecasting using Linear Regression for future EV demand prediction. Built dynamic visualizations and business intelligence dashboards for data-driven insights.
View ProjectBlack Friday Sale Prediction
January 1, 2026 – June 1, 2026
Analyzed Black Friday retail sales data to predict customer purchase amounts using machine learning. Performed data cleaning, preprocessing, and exploratory data analysis (EDA) using Pandas and NumPy. Built and evaluated regression models such as Linear Regression and XGBoost using Scikit-learn. Created visualizations to understand customer purchasing behavior and sales trends. Developed predictive models to support inventory planning and targeted marketing strategies.
View ProjectCultural Fit Analysis
The candidate's academic projects cover diverse domains like healthcare, EV market analysis, and retail sales, indicating a broad interest in applying data analysis to different problems. The internships at CSRBOX (focused on SDGs) and Microsoft Elevate suggest an interest in impactful and technically challenging work. This diversity and problem-solving orientation align with a culture that values innovation and continuous learning. However, the candidate is still pursuing their bachelor's degree, which might impact immediate full-time cultural integration compared to a more experienced professional.
Soft Skills & Operational Fit
The candidate lists communication, leadership, time management, creativity, adaptability, and organizational skills. The project descriptions are clear and well-structured, indicating good written communication. The academic projects and internships suggest an ability to work on structured tasks and apply learned concepts. However, without direct interaction or behavioral assessment, the depth of these soft skills in an operational context is difficult to fully ascertain.