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Data Science with less than a year in Python, SQL, Power BI, and Machine Learning for data-driven in
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Proficient in Python, SQL, Power BI, Tableau, and Excel for end-to-end data analysis, visualization, and reporting. Hands-on experience building ML models (CNN, YOLOv8, Random Forest, SVM) and data pipelines. Certified in Power BI (Microsoft/Simplilearn) and Introduction to Data Science (Cisco). Seeking a Data Analyst or Data Science role where I can turn raw data into actionable business insights.
Chanakya University
Bachelor of Computer Applications (Hons.) · Data Science
August 1, 2022 – June 30, 2026
PRN Amrutha Bharathi
Pre-University · Science
June 1, 2021 – May 31, 2022
Farms2Fork Technologies Pvt Ltd
Data Science Intern
December 1, 2025 – May 31, 2026
Bengaluru, Karnataka, India
Arecanut Detection through Satellite Imagery
January 1, 2025 – June 30, 2025
• Built a CNN + YOLOv8 deep learning model and benchmarked classical ML classifiers (Logistic Regression, Random Forest, SVM) to detect arecanut plantations from satellite image tiles using RGB and grayscale feature extraction on manually labelled data. • Designed complete end-to-end data pipeline: image preprocessing, tile splitting, feature engineering, model training, and validation with precision, recall, and mAP metrics to support agricultural planning and water resource management.
Stock Data Analysis & Trend Visualization
July 1, 2024 – November 30, 2024
• Analyzed historical stock data of 10 companies across Finance, Healthcare, and Infrastructure sectors using Moving Averages and Bollinger Bands to identify trends, volatility, and trading signals. • Built regression models to forecast 2025 stock prices; delivered sector-wise interactive Excel dashboards and Python visualizations covering price trends and volume analysis - replicating real-world data analyst workflows.
View ProjectPower BI for Beginners
Microsoft / Simplilearn SkillUp
April 1, 2026 – Present
Introduction to Data Science
Cisco Networking Academy
October 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show diversity in application areas (finance, agriculture), indicating adaptability. The internship experience aligns well with a data science role, demonstrating practical application of skills. The breadth of technical skills listed (ML, BI, Cloud & DevOps basics) suggests a willingness to learn and engage with various aspects of data science, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates collaboration skills through working with cross-functional teams during their internship. Their project descriptions indicate an ability to understand requirements and deliver data-driven solutions. The competitive programming achievement suggests strong problem-solving and analytical aptitude, which are crucial for operational fit in a data science role.