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Data Scientist with less than a year in Python, SQL, Machine Learning, and Data Analysis.
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Fresher Data Scientist with hands-on experience in Python, SQL, Machine Learning, and Data Analysis. Built real-world projects including customer churn prediction models and interactive Power BI dashboards. Skilled in data cleaning, EDA, feature engineering, and model evaluation. Immediate joiner, open to Bengaluru and remote opportunities.
Proudadevaraya Institute of Technology
B.E · CSE
August 1, 2021 – June 30, 2024
TMAE Society Polytechnic, Hosapete
Diploma · CSE
August 1, 2018 – June 30, 2021
Little Flower English Medium School, Hosapete
SSLC
N/A – May 31, 2018
Nearlearn
Data Science & Machine Learning Intern
October 1, 2025 – Present
India
Sales Performance Analytics Dashboard Using Power BI
June 1, 2024 – September 30, 2025
Designed an interactive sales analytics dashboard using Power BI to analyze revenue, profit, and regional performance. Cleaned and transformed large sales datasets (50,000+ records) using Power Query. Created KPIs, calculated columns, and basic DAX measures for trend and performance analysis. Used SQL queries to extract and aggregate sales data from relational databases.
AI-Based Epileptic Seizure Detection and Prediction
June 1, 2024 – September 30, 2025
Built a deep learning model using CNN and KNN to predict epileptic seizures from EEG signals. Performed data preprocessing, feature extraction, and model tuning for improved accuracy.
Customer Churn Prediction Using Machine Learning
June 1, 2024 – September 30, 2025
Built a machine learning model to predict customer churn using Python and Scikit-learn. Performed data cleaning, exploratory data analysis (EDA), and feature engineering on 7,000+ customer records. Implemented Logistic Regression and Random Forest models and evaluated performance using Accuracy, Precision, Recall, and F1-Score. Improved recall through hyperparameter tuning and identified key churn drivers such as contract type and monthly charges.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in different data science applications (seizure detection, churn prediction, sales analytics). The internship experience shows a willingness to gain practical, hands-on experience. The target role 'Data Scientist' aligns well with the skills and projects presented. However, as a fresher, the depth of experience in diverse team environments or complex organizational structures is limited, which might impact cultural fit in a senior role requiring extensive collaboration and mentorship.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and applying data science concepts through academic projects and an internship. The profile summary highlights an 'immediate joiner' status, suggesting readiness for quick integration into a team. However, as a fresher, direct evidence of operational fit in a senior role, such as leadership, complex problem-solving under pressure, or cross-functional collaboration, is not explicitly provided.