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Data Analyst with less than a year in Data Analytics & Machine Learning
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Fresher Data Analyst with a B.Tech in Artificial Intelligence and Machine Learning. I have worked on three end to end analytics projects covering banking, e-commerce and retail data using SQL, Python, Power BI and Advanced Excel. I am comfortable with data cleaning, exploratory data analysis, dashboard development and MIS reporting. I hold certifications from Google and Stanford and I am an immediate joiner.
JB Institute of Engineering and Technology
B.Tech · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
Digital Banking Customer Intelligence Dashboard
January 1, 2026 – February 1, 2026
Collected and preprocessed 2,512 transactions across 495 customers. Applied K-Means clustering for 4 customer segments and Random Forest for fraud detection with 85% accuracy and 190 high-risk flags. Wrote SQL queries using CTES, RANK and NTILE to surface $747K in revenue patterns. Delivered an 8-visual Power BI dashboard with KPI cards and dynamic slicers.
View ProjectNetwork Intrusion Detection Using Ensemble Machine Learning Techniques
January 1, 2026 – June 1, 2026
Built a machine learning based intrusion detection system on the NSL-KDD and CIC-IDS 2017 datasets, covering DoS, Probe, R2L and U2R attack categories. Applied PCA for dimensionality reduction and trained Decision Tree, Random Forest and SVM classifiers, with Random Forest giving the best accuracy. Evaluated models using precision, recall and F1-score.
View ProjectRetail Sales Dashboard: MIS Reporting and KPI Intelligence
November 1, 2025 – November 1, 2025
Built an automated BI dashboard and MIS reports tracking revenue KPIs and regional performance using DAX measures for period over period comparisons.
View ProjectE-Commerce Customer Churn Analysis and Revenue Optimization
August 1, 2025 – October 1, 2025
Analyzed 5,630 customer records through a full ETL pipeline. Identified a churn rate of 16.84%, retention of 83.16% and calculated CLV by segment. Found that new customers with zero tenure had the highest churn. Delivered a 7-visual Power BI dashboard with onboarding strategy recommendations.
View ProjectGoogle Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia via Forage
June 1, 2026 – Present
Supervised Machine Learning: Regression and Classification
Stanford and DeepLearning.AI
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like e-commerce, banking, retail, and cybersecurity, indicating adaptability and a broad interest in applying data analytics across different industries. The pursuit of multiple certifications demonstrates a proactive learning attitude and commitment to professional development, which aligns well with a culture of continuous improvement. The focus on practical, project-based learning suggests a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to gather requirements, document findings, and present results, suggesting good communication and stakeholder management skills. The academic project work implies experience in team collaboration and structured problem-solving. However, without direct work experience, the operational fit in a fast-paced corporate environment and stress handling capabilities are yet to be fully assessed.