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Data enthusiast | data engineer | SQL | tableau | Data cleaning | Data manipulation
Actively looking for a data analyst/scientist role. I am passionate Data Analyst Enthusiast | Aspiring to Excel in Data-Driven Insights I am a dedicated data enthusiast with a strong desire to leverage data for meaningful insights. My journey into the world of data analysis began with a curiosity about how numbers could tell compelling stories. 📊 Data Enthusiasm: My passion lies in exploring data sets, uncovering patterns, and translating them into actionable insights. Whether it's cleaning messy data or crafting compelling visualizations, I thrive on the data analysis process. 💡 Continuous Learning: I firmly believe in the power of education and continuous improvement. I'm constantly enhancing my skills in data analysis, statistics, and tools like Python, SQL, and Tableau to stay ahead in this dynamic field. 🌐 Collaboration: Collaboration is at the heart of impactful data analysis. I enjoy working in diverse teams to solve complex problems and drive data-informed decisions. 🔍 Looking Ahead: My goal is to transition from a Data Analyst Enthusiast to a seasoned Data Analyst, contributing valuable insights to organizations and driving data-driven success.
Global Academy Of Technology
Bachelor of Engineering, Artificial Intelligence
December 1, 2020 – July 1, 2024
Poornaprajna College, Udupi - 576102
Diploma of College Studies (DCS)
June 1, 2018 – April 1, 2020
Annapoorna Vidya Mandira Agumbe
High School Diploma
June 1, 2015 – April 1, 2018
Poornaprajna College, Udupi - 576102
Pre-University (Class XII)
N/A – Present
Annapoorna Mithai
SSLC (Class X)
N/A – Present
Rubixe - AI Solutions Company
Data Science & Ai intern Consultant
February 1, 2025 – November 1, 2025
Bengaluru, Karnataka, India · On-site
Rubixe
Data Science Intern
December 1, 2024 – October 1, 2025
Blinkit Dashboard
April 1, 2025 – June 1, 2025
Created a clear and easy-to-use Power BI dashboard to show Blinkit's order details, delivery times, top products, and customer ratings. Used visual tools and calculations to highlight areas with fast or slow delivery. Added filters to view data by city and date, helping the team quickly find issues and make better decisions to improve delivery performance.
Language Translation Using Zero Shot Learning
December 1, 2023 – Present
Zero-shot learning for language translation enables a model to translate between languages it hasn't been trained on directly. It learns shared meanings across languages during training, allowing it to make educated guesses about translations even for unseen language pairs. This is achieved through techniques like semantic embeddings, multilingual training, transfer learning, cross-lingual alignment, and decomposition strategies. It's useful for translating low-resource languages or language pairs with limited data
Data Science Foundation
IABAC
June 23, 2026 – Present
Introduction to Programming Using Python
HackerRank
June 23, 2026 – Present
SQL
HackerRank
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internship experience show a strong focus on practical application of AI/ML, which aligns well with a results-oriented culture. The diversity of projects (language translation, dashboards, various ML applications) indicates adaptability and a willingness to explore different domains. However, the experience is primarily academic and internship-based, which might require additional mentorship in a fast-paced industry setting. The lack of team-based project descriptions makes it difficult to assess collaborative fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical work into business impact (e.g., improving delivery performance, identifying churn). The internship experience suggests a structured approach to problem-solving and documentation. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.