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Data Analyst with less than a year in Data Analytics & 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
Results-driven aspiring Data Analyst with an MCA and 11 months of hands-on industry experience in data cleaning, SQL analysis, and business intelligence reporting. Proficient in Power BI, Excel, Python (Pandas, Matplotlib, Seaborn), and SQL. Proven ability to build interactive dashboards, perform exploratory data analysis, and translate raw data into actionable business insights.
Raajdhani Engineering College (REC)
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2024
Berhampur University
Bachelor of Computer Applications (BCA)
August 1, 2019 – June 30, 2022
Talentele Learning
Data Analyst
February 1, 2025 – November 1, 2025
Bhubaneshwar, Odisha, India
Hospital Emergency Room Dashboard
June 21, 2026 – Present
Built a dynamic Excel dashboard analysing ER data across patient admission, age, gender, wait time, and referral channels to support hospital operational decision-making. Tracked daily trends, satisfaction scores, and service quality metrics; identified key bottlenecks to improve patient flow visibility.
Road Accident Analytics Dashboard
June 21, 2026 – Present
Developed an interactive Power BI dashboard covering 2021-2022 road accident data, visualising casualties, accident frequency, and year-over-year growth by severity. Segmented analysis by vehicle type, road type, geographic location, and day/night conditions to surface actionable safety insights.
Telco Customer Churn EDA
June 21, 2026 – Present
Performed end-to-end Exploratory Data Analysis on a customer churn dataset using Pandas, Matplotlib, and Seaborn; identified the top drivers of churn through feature analysis. Produced 10+ visualisations and a structured insights report to support data-driven retention strategy recommendations.
Data Analytics
Simplilearn
June 1, 2026 – Present
Advanced MS Excel VBA
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across different domains (healthcare, road safety, telecommunications), indicating adaptability and a broad interest in problem-solving. The combination of academic qualifications and practical project work suggests a proactive learning attitude. The single professional experience as a Data Analyst aligns well with the target role, showing a clear career path. However, without further information on team collaboration or work environment preferences, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's resume highlights a results-driven approach and the ability to translate raw data into actionable business insights. The project descriptions indicate a focus on problem-solving and improving operational decision-making, which suggests a good operational fit. However, without psychometric test results or interview data, a deeper assessment of soft skills like teamwork, communication style, and adaptability is not possible.