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Data Analyst with less than a year in Power BI, SQL, Python, and 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
Highly motivated and results-oriented Data Analyst with 0.3 years of hands-on experience in data cleaning, exploratory data analysis (EDA), and building interactive dashboards. Proficient in Python, SQL, Power BI, and machine learning techniques to uncover business trends, support data-driven decision-making, and communicate insights through compelling visualizations. Eager to contribute analytical skills to solve complex business challenges.
MVJ College Of Engineering
B.E · Computer science Engineering(Data-Science)
August 1, 2022 – June 30, 2025
Central Institute Of Petrochemical Engineering & Technology
Diploma · Plastics Mould Technology(DPMT)
August 1, 2019 – June 30, 2022
Corizo Pvt Ltd
Data Analyst intern
December 1, 2024 – March 1, 2025
Bengaluru, Karnataka, India
Flight Delays & Cancellations Analysis
June 21, 2026 – Present
Analyzed 2019-2023 flight delay & cancellation data (100K+ records) using Power BI, identifying key operational disruption patterns across airlines and airports. Cleaned and transformed raw data using Power Query, handled missing values (reduced data inconsistencies by 25%), and designed an optimized star schema for efficient reporting performance. Created advanced DAX measures to calculate KPIs such as On-Time Performance %, Average Arrival Delay, and Total Delay Minutes, improving reporting accuracy and reducing manual analysis time by 30%. Designed and implemented an interactive Power BI dashboard with KPI cards, airline comparisons, and delay trend analysis; identified Late Aircraft and Carrier issues contributing to 45%+ of total delays, while weather accounted for 60%+ of cancellations, supporting operational performance evaluation and decision-making.
View ProjectCustomer Churn Prediction
June 21, 2026 – Present
Analyzed customer behavior and churn patterns using exploratory data analysis to identify key drivers such as tenure, contract type, monthly charges, payment method, and senior citizen status. Developed and validated a Logistic Regression model on a dataset of 5,000+ customers to predict churn, prioritizing recall (82%) to effectively identify high-risk customers in an imbalanced dataset (18% churn rate). Improved churn detection by 15% through classification threshold tuning, while maintaining precision above 70% to balance false positives. Achieved 79% overall accuracy and ROC-AUC of 0.86, validating strong model discrimination capability. Reduced false negatives by 20%, improving early identification of high-risk customers and supporting targeted retention campaigns that lowered potential churn-related revenue loss by 10-12%.
Data Analytics Using Power BI Bootcamp Certificate
Unknown
June 1, 2026 – Present
SQL Bootcamp Certificate
Unknown
June 1, 2026 – Present
Data Analytics Job Simulation Certification
Deloitte
June 1, 2026 – Present
GenAI Powered Data Analytics Job Simulation
TATA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including flight delay analysis and customer churn prediction, shows a breadth of application for data analysis skills. Their internship experience and project work align well with a Data Analyst role. The certifications from Deloitte and TATA, along with academic pursuits in Computer Science Engineering (Data Science), indicate a proactive approach to learning and professional development, which generally aligns with a growth-oriented culture. However, the experience level is 0, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through team projects and presentations. Their experience in communicating insights through visual storytelling indicates good presentation and reporting abilities. The focus on reducing manual analysis time and improving reporting accuracy suggests an operational mindset. However, the psychometric test score is not provided, so a full assessment of work attitude, stress handling, and logical reasoning cannot be made.