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Data Analyst with less than a year in Python, SQL, Power BI, 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
Data-driven CSE graduate with hands-on experience in Python, SQL, Power BI, and Machine Learning. Skilled in data analysis, predictive modeling, dashboard development, and extracting actionable insights from data. Seeking an entry-level Data Analyst or Data Scientist role to contribute analytical and problem-solving skills toward business growth and decision-making.
Varendra University
B.Sc. · Computer Science & Engineering (CSE)
August 1, 2022 – June 30, 2025
Face Recognition Attendance System
June 29, 2026 – Present
Built a real-time face recognition attendance system using Python and OpenCV. Achieved 96% accuracy using computer vision techniques. Automated attendance tracking process for improved efficiency.
Time Series Forecasting Project
June 29, 2026 – Present
Developed a demand forecasting model using ARIMA. Achieved 94.18% prediction accuracy for future demand estimation. Performed trend analysis and forecasting using historical data.
Customer Churn Prediction
June 29, 2026 – Present
Built a machine learning classification model using Python and Scikit-learn. Improved prediction accuracy to 72% through data cleaning and feature engineering. Identified key customer retention factors through exploratory data analysis.
Vendor Performance Analysis
June 29, 2026 – Present
Analyzed vendor data using Python, SQL, and Excel. Developed interactive Power BI dashboards to visualize KPIs and vendor performance. Generated data-driven insights to support business decision-making.
Data Science & Machine Learning
Ostad
February 1, 2025 – August 1, 2025
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data science techniques, which suggests a good fit for a learning-oriented and problem-solving culture. The variety of projects (face recognition, time series, churn prediction, vendor analysis) indicates adaptability and a broad interest in data applications. However, the lack of professional experience means cultural fit beyond academic enthusiasm is largely unproven.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Problem Solving, Team Collaboration, Communication, Time Management, and Adaptability as soft skills. These are generally positive for operational fit, but without specific examples or assessment data, their practical application and depth cannot be fully evaluated. The candidate is an entry-level professional, which implies a need for structured guidance and mentorship.