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Data Analyst with less than a year in Data Analysis & Visualization
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Assessing your cultural and operational fit
Data Analyst with a strong foundation in Python, Excel, Power BI and SQL. Skilled in cleaning, analyzing, and visualizing data to generate insights and support data-driven decision-making. Interested in collaborating on meaningful analytical work in fast-paced environments.
LNCT University, Bhopal
MBA · Data Analytics And Visualization
N/A – June 30, 2025
StudentPerformancePrediction
March 1, 2025 – April 1, 2025
Built a student performance prediction model using machine learning to estimate GPA with 99.99 percentage accuracy. Conducted data analysis on 500 student records to identify key academic success factors. Compared multiple ML algorithms (Linear Regression, Random Forest, SVM, KNN) to determine the optimal predictive model. Utilized Python (Pandas, Scikit-learn, Matplotlib) for end-to-end data analysis and visualization. Provided actionable insights to educators for early identification of at-risk students.
OnlineOrdersDetailsAnalysis
February 1, 2025 – March 1, 2025
Cleaned and transformed 541910 rows × 8 columns of sales and customer data using Power Query in Power BI. Built data model relationships between “Orders” and “Details" tables for accurate aggregations and filtering. Created multiple interactive visualizations including bar charts, line charts, pie charts, treemap, and geospatial maps to visualize profit trends and category performance. Implemented DAX measures to calculate key KPIs such as Sum of Profit, Sum of Quantity, and Profit by Month for performance monitoring. Designed slicers and filters (State, Quarter, Payment Mode) for dynamic report interactivity and user-driven analysis. Developed map-based visualization to analyze sales and profit distribution across Indian states. Built drill-through and cross-page navigation features for seamless data exploration and insight discovery. Enabled clear business insights like identifying top-performing categories (Clothing, Electronics) and analyzing profit trends by region and month.
HRAnalyticsDashboard
November 1, 2024 – December 1, 2024
Cleaned and transformed HR data from an Excel/CSV source and created derived features such as Age Group, Salary Slab, and Years At Company for analysis. Implemented core DAX measures and calculated columns for KPIs: Employee Count (1,470), Attrition (237), Attrition Rate (16.1%), Avg. Age (37), Avg. Salary (6.5K), and Avg. Tenure (7 years). Designed an interactive Power BI report with KPI cards, donut/pie charts, bar charts, line charts and tabular drill-through to analyze attrition by age, education, job role, salary slab and tenure. Identified high-risk cohorts (e.g., 26–35 age group, specific job roles such as Laboratory Technician / Sales Executive) and salary bands with disproportionate attrition—enabling targeted retention strategies. Built user-friendly filters and slicers (Department / JobRole / AgeGroup / SalarySlab) for self-service exploration by HR and business managers. Improved insights delivery by combining summary KPIs with role-level detail tables and trend charts—supported ad-hoc root-cause analysis for attrition. Documented data dictionary and created a reproducible ETL flow in Power Query for future refresh and handoff.
Data Visualisation: Empowering Business with Effective Insights
Tata Forage
June 1, 2026 – Present
Python Programming
Great Learning Academy
June 1, 2026 – Present
Google Data Analytics Certificate
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a good breadth of data analysis applications, from student performance prediction to online order analysis and HR analytics. This diversity suggests adaptability and a willingness to apply skills across different business domains. The academic background in Data Analytics and Visualization aligns well with the target role. The certifications further indicate a proactive approach to skill development. The projects are well-aligned with typical Data Analyst responsibilities, showing a good fit for roles requiring data manipulation, visualization, and basic machine learning applications.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable insights, which is crucial for a Data Analyst role. The focus on identifying high-risk cohorts and top-performing categories suggests a business-oriented mindset. However, without specific psychometric or English test scores, it's difficult to fully assess communication clarity, work attitude, stress handling, or team collaboration.