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Data Analyst with less than a year in Python, SQL, and Power BI for actionable insights and informed
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bachelor of Technology in Computer Science Engineering with hands-on experience in Python, SQL, MongoDB, Power BI, and machine learning techniques. Seeking a Data Analyst role to apply data analysis, predictive modeling, and visualization skills to extract actionable insights, optimize processes, and drive informed business decisions, contributing measurable value to organizational growth.
Sai Spurthi Institute of Technology, Gangaram
Bachelor of Technology · Computer Science Engineering
October 1, 2022 – May 1, 2026
Santiniketan Junior College, Sathupally
Board of Intermediate Education
June 1, 2020 – May 1, 2022
Exploratory Data Analysis on Uber Dataset
November 1, 2025 – December 1, 2025
Performed data cleaning and preprocessing on Uber dataset using Python libraries Pandas and NumPy, improving data quality for ride records. Visualized ride patterns, trip distributions, and demand trends using Matplotlib and Seaborn, identifying peak hours and high-demand zones, increasing operational insights by 40%. Analyzed correlations between variables such as trip distance, fare amount, and ride duration, uncovering key patterns that improved predictive modeling accuracy. Developed interactive charts and graphs in Google Colab, enabling stakeholders to explore Uber ride data and trends, enhancing decision-making efficiency by 35%. Optimized EDA workflow by integrating Python data manipulation and visualization techniques, reducing analysis time by 30% and improving insight accuracy.
BlinkIt Data Analytics
October 1, 2025 – November 1, 2025
Imported BlinkIt dataset from Kaggle and prepared it for analysis, improving data accuracy and consistency using MS Excel and Power BI. Designed an interactive and responsive dashboard in Power BI, visualizing key business metrics and enhancing operational efficiency by 35%. Analyzed sales, order patterns, and customer trends using Power BI, identifying high-performing products and contributing to actionable insights for strategy planning. Automated data aggregation and reporting processes, reducing manual reporting time by 40% and enhancing data reliability for stakeholders. Enhanced dashboard design with filters, slicers, and visual cues, improving user engagement and enabling quick insights for operational teams.
Python proficiency
Nxtwave CCBP
June 1, 2026 – Present
SQLite training
Nxtwave CCBP
June 1, 2026 – Present
MS Excel skills
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects align well with a Data Analyst role, demonstrating a foundational understanding of key tools and techniques. The projects show initiative in applying learned skills to real-world (Kaggle) datasets. However, the lack of professional experience and diverse project types beyond academic exercises limits the assessment of adaptability and broader cultural fit within a dynamic work environment. The candidate is a college graduate with no professional experience, which might require more mentorship and integration into a professional culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with data to derive insights and improve efficiency, suggesting a results-oriented approach. The focus on enhancing decision-making and operational efficiency points to a practical mindset. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, teamwork, or communication in a professional setting.