Data Science with 1+ years in data analytics and forecasting.
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 analyst with strong practical experience in data analytics, business intelligence, and problem-solving. Proficient in Python, SQL, Advanced Excel, and Power BI, with hands-on experience analyzing 20K-50K+ records to perform customer segmentation, sales performance analysis, and forecasting. Skilled in data modeling, KPI development, reporting, and building interactive dashboards to support data-driven decision-making and business operations.
Guru Gobind Singh Indraprastha University
Bachelor of Computer Applications (BCA)
August 1, 2023 – June 30, 2026
CodSoft
Data Science Intern
May 1, 2025 – Present
India
Titanic Survival Prediction
June 25, 2026 – Present
Preprocessed structured passenger data by handling missing values, encoding categorical features, and selecting key predictors. Built and evaluated a Logistic Regression model achieving ~80% accuracy, validated using precision, recall, and confusion matrix. Identified key survival drivers (gender, passenger class, age) through EDA and visualization, strengthening predictive modeling insights.
View ProjectCustomer Data Analysis & Dashboard Development
June 25, 2026 – Present
Analyzed 20,000+ customer and sales records to identify purchasing patterns, revenue trends, and high-value customer segments. Performed customer segmentation that revealed ~35% of total revenue driven by a small group of high-value customers, supporting targeted retention strategies. Built an interactive Power BI dashboard with customer KPIs (CLV indicators, category-wise revenue, age groups), improving business insight accessibility.
View ProjectSales Data Analysis & Business Insights Dashboard
June 25, 2026 – Present
Wrote SQL queries using JOINS, GROUP BY, and aggregations to analyze 20,000+ customer records and identify high-value segments and revenue trends. Developed a star schema data model and DAX-based KPIs (YoY growth, margins), enabling faster identification of loss-making products and regions. Implemented 15-day sales forecasting and automated ETL workflows, improving short-term demand visibility and reducing manual data preparation by 40%.
View ProjectIris Flower Classification
June 25, 2026 – Present
Visualized feature distributions and correlations using pair plots and heatmaps to assess class separability. Implemented K-Means clustering and supervised classification models to categorize iris species. Evaluated and compared model performance across supervised and unsupervised approaches using standard metrics.
View ProjectDatabase Management System
NPTEL
June 1, 2026 – Present
Data Science and Analysis
HP LIFE
June 1, 2026 – Present
MS Excel
Simplilearn
June 1, 2026 – Present
Data Analysis with Power BI
Unknown
June 1, 2026 – Present
Career Essential to Sustainable Tech
Microsoft and LinkedIn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from customer data analysis to classic machine learning problems, indicates a broad interest in data science applications. Their leadership roles in college activities suggest a proactive and collaborative mindset. The certifications in various data tools and concepts show a commitment to continuous learning and skill development, aligning well with a growth-oriented culture. However, the experience level is quite junior, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates leadership and teamwork through their involvement in college societies and events. Their participation in a debate competition suggests structured thinking and data-backed argumentation, which are valuable for communicating analytical insights. The internship experience indicates an ability to work in a professional setting and contribute to data-driven decision-making.