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Data Analyst with less than a year in Python, Machine Learning & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in Python, machine learning, deep learning, and data analysis. Skilled in building end-to-end ML pipelines, statistical modeling, and AI-driven predictive systems. Passionate about developing real-world AI and Generative AI solutions.
STAS Edappally, Mahatma Gandhi University
Master of Computer Applications
August 1, 2023 – June 30, 2025
STAS Edappally, Mahatma Gandhi University
Bachelor of Electronics
August 1, 2019 – June 30, 2022
Luminar Technolab
Data Science & Power BI Intern
July 1, 2025 – March 1, 2026
Cochin, Kerala, India
Sales Performance Analysis – Revenue & Regional Insights
June 21, 2026 – Present
Developed an interactive Power BI dashboard to analyze sales data across regions, products, and time periods, visualizing revenue trends and sales performance metrics. Created DAX measures to calculate total revenue, monthly growth rate, and region-wise sales contribution for comparative business analysis. Designed KPI cards and bar charts to highlight top-performing products, underperforming regions, and seasonal sales patterns for strategic decision-making. Implemented slicers and drill-through filters for dynamic exploration of sales data by region, product category, and time period.
STUDENT PERFORMANCE ANALYSIS
June 21, 2026 – Present
Analyzed student records to uncover performance trends across subjects, grade levels, and attendance patterns. Cleaned and prepared raw academic data using Pandas by handling missing values, removing duplicates, and standardizing grade formats. Used SQL to query subject-wise pass/fail rates and visualized score distributions and attendance trends using Matplotlib and Seaborn
Big Data Computing
NPTEL
July 1, 2025 – Present
Luminar Technolab - Data Science Internship
Luminar Technolab
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects show a diverse application of data analysis skills, from sales performance to student records, indicating adaptability. The internship and certifications suggest a proactive approach to learning and professional development. The target role of Data Analyst aligns well with the candidate's demonstrated skills in data manipulation, visualization, and interpretation. The breadth of tools and techniques used (Python, SQL, Power BI, Pandas, NumPy, Matplotlib, Seaborn) indicates a good foundation for various data-centric environments.
Soft Skills & Operational Fit
The candidate demonstrates an ability to translate data findings into actionable business insights, which is crucial for a Data Analyst role. The project descriptions indicate a structured approach to data analysis, from cleaning to visualization. However, without direct assessment, specific soft skills like teamwork, problem-solving under pressure, or communication style cannot be fully evaluated.