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Data Analyst with less than a year in SQL, Python & Power 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
Detail-oriented Data Analyst with hands-on experience in SQL, Python, Power BI, and Excel. Skilled in data cleaning, visualization, dashboard creation, and exploratory data analysis (EDA). Passionate about transforming raw data into actionable business insights and improving decision-making through analytics.
LNCT, Bhopal
MCA · Computer Applications
August 1, 2023 – June 30, 2025
Nixon enterprises
Data Analyst
September 1, 2025 – December 1, 2025
India
Digital bline
Data Analyst
March 1, 2025 – August 1, 2025
India
Customer Churn Prediction
July 1, 2025 – July 1, 2025
Performed data cleaning and preprocessing on customer datasets. • Developed a Customer Churn Prediction Dashboard using Python and Streamlit. • Performed data analysis and visualization using Pandas, Matplotlib, and Scikit-learn. • Built machine learning models to predict customer churn based on user behavior data.
View ProjectSales Dashboard
May 1, 2025 – May 1, 2025
Designed and developed an interactive Power BI sales dashboard to analyze revenue and performance. • Extracted, cleaned, and transformed data using SQL queries (joins, group by, aggregations). • Analyzed revenue and performance trends. • Extracted, cleaned, and transformed data using SQL. • Created KPIs, slicers, and visual reports.
View ProjectGenAI Powered Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of skills relevant to data analysis, including dashboarding, predictive modeling, and data cleaning. The experience in two different companies, albeit for short durations, shows exposure to different environments. The certifications from Forage and Deloitte indicate a proactive approach to learning and professional development. The projects are diverse enough to suggest adaptability and a willingness to tackle different types of data challenges, aligning well with a dynamic work culture.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight an ability to streamline processes, identify market trends, and improve decision-making, suggesting a results-oriented approach. The focus on data quality and actionable insights indicates a good operational fit for roles requiring practical application of data analysis. However, without psychometric test results, a deeper assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.