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Data Science with 1+ years in data analysis, machine learning, and dashboard development
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 1 year of internship experience in Excel, SQL, and Power BI, specializing in data cleaning, analysis, and dashboard development. Completed multiple Data Science projects involving machine learning and predictive modeling using Python. Skilled in transforming data into actionable insights and supporting data-driven decision-making.
Jain College Of Engineering
BE · Electronics and Communication Engineering
August 1, 2021 – June 30, 2025
G. S. S. PU College
Pre University
June 1, 2019 – May 31, 2021
B. K. Model High School
High School
June 1, 2016 – May 31, 2019
Stemup A Unit Of Pragnova Private Limited
Data Analyst
January 1, 2025 – Present
Bengaluru, Karnataka, India
Trinity Technologies and Software solutions Pvt Ltd
AI/ML and IoT Intern
January 1, 2025 – December 31, 2025
Hubli, Karnataka, India
Portuguese Bank Marketing Analysis
January 1, 2025 – June 1, 2026
Built classification models (Logistic Regression, Random Forest) to predict customer subscription Improved campaign targeting using data-driven insights
Handwritten Digit Recognition
January 1, 2025 – June 1, 2026
Developed a multi-class classification model using Scikit-learn achieving ~95% accuracy Applied image preprocessing and feature extraction techniques
Walking vs Running Classification
January 1, 2025 – June 1, 2026
Developed classification model using sensor data with feature engineering and model comparison Achieved accurate activity prediction using ML algorithms
Customer Transaction Prediction (Banking Domain)
January 1, 2025 – June 1, 2026
Performed data cleaning, transformation, and feature engineering Created analytical datasets for predictive modeling Conducted exploratory analysis to identify key business drivers
Data Scientist Certification
Datamites
June 1, 2026 – Present
Introduction to Programming, Python
Kaggle
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse applications of data science, from banking to image recognition and sensor data, indicating a broad interest in the field. The internship experience in both data analysis and AI/ML/IoT suggests adaptability and a willingness to explore different technical areas. The ongoing Data Scientist Certification further highlights a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable insights and improve system performance, suggesting a results-oriented approach. The academic projects and internship roles show a foundational understanding of data analysis and machine learning workflows. However, the experience is primarily internship-based and academic, indicating a need for further development in a professional setting.