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Data Analyst with less than a year in Python, SQL, & 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 Excel, Google Sheets, SQL, Power BI, Python, and Tableau. Skilled at collecting, cleaning, and organizing data from multiple sources, building dashboards and reports, and identifying trends and anomalies to support business decisions. Strong analytical thinking, attention to detail, and ability to communicate insights clearly to both technical and non-technical stakeholders.
Nitte Meenakshi Institute of Technology
B.E. in Artificial Intelligence & Machine Learning · Artificial Intelligence & Machine Learning
August 1, 2021 – June 30, 2025
Reddy Veeranna PU College
Pre-University Course (PUC)
June 1, 2019 – May 31, 2021
Cod Spectra Technologies
AI/ML Intern
February 1, 2025 – May 1, 2025
Bengaluru, Karnataka, India
Sales Data Dashboard
February 1, 2025 – May 1, 2025
Designed an interactive Power BI dashboard tracking revenue, profit, and regional performance KPIs across multiple business units, refreshed on a recurring basis to support weekly/monthly reporting. Implemented dynamic filters, slicers, and drill-through pages enabling non-technical stakeholders to self-serve insights. Cleaned and transformed raw sales data using Power Query and Excel (VLOOKUP, XLOOKUP, Pivot Tables) to prepare structured datasets for reporting.
HR Analytics Dashboard
February 1, 2025 – May 1, 2025
Built a Power BI dashboard analyzing attrition, performance trends, and hiring metrics using SQL (SELECT, WHERE, JOIN, GROUP BY) to extract and aggregate data from multiple tables. Identified key drivers of employee attrition through statistical analysis and trend identification, enabling HR teams to reduce predicted churn by targeting at-risk segments.
Credit Card Fraud Detection System
February 1, 2025 – May 1, 2025
Built classification models (Logistic Regression, Random Forest) achieving a 94% ROC-AUC score on highly imbalanced transaction datasets. Applied SMOTE for class imbalance handling and performed feature engineering, boosting model precision by 8%. Created Tableau dashboards to visualize fraud patterns, transaction trends, and model performance metrics for stakeholder review.
Data Analytics
Cisco Networking Academy
June 1, 2026 – Present
Data Visualization using Python
Incognito AI
June 1, 2026 – Present
Precision Diagnosis by Integration of Transfer Learning for Colorectal Cancer Polyp Detection and Classification
ICOREAT 2025 International Conference
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales and HR analytics to credit card fraud detection, shows adaptability and a broad interest in applying data analysis across different domains. Their academic background in AI/ML, coupled with certifications in Data Analytics and Data Visualization, aligns well with a data-driven culture. Participation in community activities also suggests a well-rounded individual who can contribute positively to team dynamics.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and clear communication, which are crucial for a Data Analyst role. Their experience in documenting processes and metrics suggests good operational fit. Mentoring junior students and participating in community outreach indicates leadership potential and a collaborative mindset.