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Data Analyst with less than a year in Python, SQL, Power BI, and Tableau for data-driven insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic data analytics student with physics background. Currently enhancing strong analytical skills, proficiency in data visualisation and data tools like python.Aiming to contribute to data-driven decision making processes and gain hands-on experience in the field of data analytics
University of Kannur
Bachelor of Science · Physics
August 1, 2021 – June 30, 2024
Techolas Technologies
Data Analyst Intern
July 1, 2024 – January 1, 2025
Kozhikode, Kerala, India
Dashboards & Data Visualization - Excel
January 1, 2024 – June 1, 2024
Analyzed road accident data; cleaned datasets with formulas/filters; built interactive dashboards with Pivot Tables, slicers, and charts to identify high-risk locations, time patterns, and causes.
Dashboards & Data Visualization - Power BI
January 1, 2024 – June 1, 2024
Created a customer & marketing analysis dashboard; transformed data with Power Query; built DAX measures for KPIs (conversion rate, response rate, balance); enabled drill-through & segmentation by demographics.
Predicting Income Levels Using Machine Learning
January 1, 2024 – June 1, 2024
Dataset: Adult Income Dataset (32,562 rows, 15 columns) Tools: Python, Scikit-learn, Pandas, Matplotlib Applied grid search cross-validation to optimize model performance. Created visualizations to communicate insights and model predictions.
Dashboards & Data Visualization - Tableau
January 1, 2024 – June 1, 2024
Developed a global air quality dashboard; visualized pollutants (PM2.5, PM10, NO2, etc.) with charts, heatmaps, and KPI cards; added filters/parameters for dynamic comparisons; derived insights on most polluted cities and peak months.
Cultural Fit Analysis
The candidate's academic background in Physics, combined with a strong focus on data analytics tools and techniques through projects and an internship, indicates a strong drive to transition into the data field. The diversity of tools used (Python, SQL, Power BI, Tableau, Excel, Machine Learning) and the variety of project types (income prediction, road accidents, customer analysis, air quality) suggest an adaptable and curious individual. This breadth of exposure, even at an early career stage, aligns well with a culture that values continuous learning and diverse problem-solving approaches. The internship experience, though short, shows an intent to gain practical experience, which is a positive indicator for cultural fit in a growth-oriented environment.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as collaboration, adaptability, time management, and effective communication. The academic projects and internship suggest an ability to work with diverse datasets and tools, indicating a foundational operational fit for data analysis roles. However, the lack of completed psychometric or English tests means there is insufficient data to fully assess these claims or their practical application in a professional setting beyond self-declaration.