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Data with less than a year in SQL, Python, 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
Aspiring Data Analyst with hands-on experience in SQL, Python, Power BI, and Machine Learning. Skilled in data cleaning, analysis, dashboard development, and deriving actionable insights from data. Passionate about transforming raw data into meaningful business insights and continuously expanding analytical skills.
Thakur Shyamnarayan Degree College
Bachelor of Information Technology
January 1, 2023 – January 1, 2026
House Price Prediction
June 1, 2026 – Present
Developed a Random Forest regression model to predict house prices with cross-validation. Performed EDA, feature engineering, and evaluated using RMSE and MSE.
Customer Segmentation using RFM Analysis
June 1, 2026 – Present
Built RFM metrics and applied CASE-based scoring for customer segmentation. Classified customers into value segments to identify high-revenue groups. Generated business insights to support marketing and retention strategies.
E-Commerce Sales Dashboard
June 1, 2026 – Present
Built an interactive Power BI sales dashboard to analyze sales trends, profitability, customer behavior, and product performance using DAX and Power Query.
Google Advanced Data Analytics Certificate
June 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation
Deloitte Australia
June 1, 2026 – Present
The Complete SQL Bootcamp
Unknown
June 1, 2026 – Present
Power BI For Beginners
Unknown
June 1, 2026 – Present
Excel for Beginners to Advanced with Copilot and ChatGPT
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas within data analytics (machine learning, customer segmentation, business intelligence dashboards), showing a broad interest and foundational skill set relevant to a 'Data' role. The pursuit of multiple certifications, including a job simulation, suggests a proactive and learning-oriented mindset, which aligns well with a culture of continuous improvement. The academic nature of all projects, however, means there's no direct evidence of collaboration within a professional team setting.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to translate raw data into business insights, which is a valuable operational skill. The focus on customer segmentation and sales dashboards indicates an understanding of business value from data. However, without specific psychometric or English test scores, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration beyond what is inferred from project descriptions.