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Data Analyst with less than a year in Data Analytics & 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
Artificial Intelligence & Machine Learning graduate with hands-on experience in end-to-end data analytics - from Python-based data cleaning and SQL querying to Power BI dashboard development. Skilled in translating raw data into actionable business insights through EDA, KPI reporting, and interactive dashboards. Seeking a Data Analyst role to apply analytical skills to real-world business problems.
Moodlakatte Institute of Technology, Kundapura
B.E. · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
Learner's Byte Global InfoVision
AI Intern
March 1, 2026 – June 15, 2026
India
Edunet Foundation
AI & Cloud Technology Intern
September 1, 2025 – October 1, 2025
India
Spotify Music Trends Analysis
November 1, 2025 – June 1, 2026
Analyzed 448K+ cleaned Spotify tracks spanning 1900-2021 to identify streaming trends across genres, artists, and time periods using Pandas and Matplotlib. Performed EDA to detect outliers and missing values - cleaned and standardized key audio features including popularity scores and follower counts for consistent analysis. Wrote MySQL queries to extract and aggregate key metrics including top 10 artists by follower count, top 10 artists by max popularity score, and track release trends by year. Built a 5-visual interactive Power BI dashboard with a year slicer (1900-2021), featuring artist follower rankings, popularity comparisons, genre distribution treemap, release trend line chart, and popularity distribution histogram - enabling multi-dimensional music trend analysis.
Customer Shopping Behavior Analysis
November 1, 2025 – June 1, 2026
Cleaned and analyzed 50,000+ customer transaction records using Pandas by handling missing values, duplicates, and data type inconsistencies across 10+ columns. Executed 8+ MySQL queries to generate business insights, including revenue by gender, subscription tier performance, and top-selling product categories. Performed Exploratory Data Analysis (EDA) to identify 3 high-value customer segments, finding that premium subscribers contributed 42% of total revenue while representing only 28% of the customer base. Developed a 5-page interactive Power BI dashboard using DAX measures and Power Query transformations to visualize KPIs, customer demographics, and category-wise revenue trends for business decision-making.
Google Data Analytics
Coursera
June 1, 2026 – Present
Programming Fundamentals Using Python
Infosys Springboard
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte (Forage)
June 1, 2026 – Present
Artificial Intelligence Fundamentals
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in data analysis across diverse domains (customer behavior, music trends). Their internship experience, particularly the AI Intern role, indicates an ability to work in a structured environment and contribute to system design. The breadth of skills, including AI/ML exposure alongside core data analytics, suggests adaptability and a willingness to learn new technologies, which can be a good cultural fit for dynamic teams. However, the experience is primarily academic and internship-based, which might require some ramp-up in a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through multiple certifications and academic projects. Their experience in defining structured query-response workflows and building user-friendly frontends suggests an ability to understand user needs and contribute to operational efficiency. The project descriptions indicate an ability to work with large datasets and present findings clearly, which is crucial for a data analyst role.