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Data Analyst with less than a year in Python, SQL & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in Python, SQL, and BI tools. Skilled in building predictive models, developing dashboards, and performing data-driven decision support. Strong foundation in data engineering concepts including ETL, cloud computing (Google Cloud), and data visualization. Seeking to contribute to scalable data solutions as a Data Analyst.
VTU University
Master of Computer Applications
August 1, 2023 – June 30, 2025
KLE Autonomous
Bachelor of Computer Applications
August 1, 2018 – June 30, 2021
STARVIC
Data Science Intern
January 1, 2025 – April 1, 2025
India
Mindtree
QA Testing Apprentice
May 1, 2022 – October 1, 2022
India
Fashion Trend and Virality Prediction
June 1, 2026 – Present
Developed machine learning models and achieved a 97% accuracy rate and supporting 20% faster merchandising decisions to predict product virality by analyzing historical sales, customer engagement, and trend lifecycle data in the fashion domain. Applied data preprocessing, feature engineering, and model evaluation techniques to improve trend forecasting accuracy, enabling better merchandising and marketing decisions.
Insight Tracker: Data Reporting and Analytics Systems
June 1, 2026 – Present
Developed Insight Track, a data reporting and analytics system to collect, clean, and visualize multi-source data, enabling accurate dashboards, billing summaries, and audit support.
Google Cloud Computing Foundations-1 ELITE
NPTEL
June 1, 2026 – Present
Data Science Intern Certification
United Latino Student Association
June 1, 2026 – Present
Data Analysis, Data Visualisation and ML Workflow Certification
United Latino Student Association
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experience align well with the target role of Data Analyst, indicating a clear career interest. The diversity of projects (fashion trend prediction, data reporting system) shows adaptability and a broad interest within the data domain. The QA testing internship, while not directly data analysis, demonstrates a willingness to learn and contribute in different technical capacities. The certifications further reinforce a proactive learning attitude.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented approach and a strong foundation in data analysis principles. Project descriptions indicate an ability to translate data into actionable insights. The QA testing experience suggests an understanding of quality assurance and attention to detail, which can be beneficial in data validation and reporting. However, direct evidence of teamwork or stress handling is not explicitly provided in the given data.