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Data Science with less than a year in Data Analytics & AI
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 Analytics student with hands-on expertise in Power BI, SQL, Python, and GenAI tools. Built 8+ interactive dashboards analyzing 100K+ records and generating actionable business insights. Completed virtual internships with Deloitte and Tata (Forage). Certified across Big 4, Google Cloud AI, and domain-specific analytics programs. Strong foundation in DAX, statistical analysis, and data-driven decision support.
Swami Vivekanand Subharti University
B.Tech · Computer Science & Engineering
August 1, 2024 – June 30, 2028
Vijay Pratap International School
12th Grade
June 1, 2023 – May 31, 2023
Chandrej Singh Children's Academy
10th Grade
June 1, 2021 – May 31, 2021
Tata / TCS iQ via Forage
GenAI Powered Data Analytics Job Simulation
June 1, 2026 – Present
India
Deloitte via Forage
Data Analytics Virtual Internship
January 1, 2024 – January 1, 2024
India
HR Attrition Root Cause Analysis Dashboard
June 1, 2026 – Present
Built end-to-end HR analytics dashboard analyzing attrition drivers across 1000+ employee records. Created advanced DAX measures: attrition rate, avg tenure, promotion lag, department-wise breakdown. Identified top 3 root causes contributing to 12% YoY attrition reduction.
Credit Card Fraud Detection Dashboard
June 1, 2026 – Present
Developed fraud analytics dashboard on 100K+ transaction records to detect anomalies and fraud patterns. Implemented classification metrics: precision, recall, F1 score visualization. Identified top fraud indicators enabling real-time risk flagging insights.
Customer Churn Prediction Dashboard
June 1, 2026 – Present
Analyzed 10K+ telecom records; tracked churn rate, CLV, and retention insights. Identified top 3 churn drivers accounting for 40% of cases, enabling targeted retention strategy.
Supply Chain Analytics Dashboard
June 1, 2026 – Present
Tracked 20+ logistics KPIs; identified supplier gaps reducing delivery delays by 15%.
View ProjectMarketing Analytics Dashboard
June 1, 2026 – Present
Tracked 50+ KPIs across campaigns; visual funnel analysis improved budget efficiency by 25%.
Amazon Sales Analytics Dashboard
June 1, 2026 – Present
Analyzed 5K+ products; identified top 10% high-performing SKUs and regional patterns.
Netflix Content Analysis Dashboard
June 1, 2026 – Present
Analyzed 8K+ titles with visualizations for content trends and regional viewing preferences.
Data Analyst - Big 4 Ready
One Roadmap Program
June 1, 2026 – Present
SQL Skill Certification
One Roadmap
June 1, 2026 – Present
GenAI Powered Data Analytics Job Simulation
Tata / TCS iQ via Forage
June 1, 2026 – Present
Innovating with Google Cloud Artificial Intelligence
Udacity (Accenture)
June 1, 2026 – Present
Introduction to Data Analytics
Simplilearn SkillUp
June 1, 2026 – Present
AI and Cybersecurity Awareness - AI for All
TCS ION / MPIT-CoE
June 1, 2026 – Present
30 Days Power BI Micro Course
SkillCourse (ISO 9001)
May 1, 2026 – Present
30 Days Python Micro Course
SkillCourse (ISO 9001)
May 1, 2026 – Present
Data Analytics Virtual Internship
Deloitte via Forage
January 1, 2024 – Present
A.D.C.A - Advance Diploma in Computer Application
Unknown
January 1, 2023 – Present
C.C.C - Course on Computer Concept
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate shows a strong drive for continuous learning and self-improvement, which aligns well with a growth-oriented culture. The diversity of personal projects across various domains (marketing, HR, finance, supply chain, e-commerce, entertainment) indicates a broad interest and adaptability, suggesting a good cultural fit for roles requiring versatility. The virtual internships with Deloitte and Tata also show an eagerness to engage with industry practices. However, the lack of team-based projects or collaborative experiences in the resume makes it difficult to assess direct team collaboration skills.
Soft Skills & Operational Fit
The candidate demonstrates a strong initiative for learning and practical application, which is crucial for operational fit in a dynamic data science environment. Their project descriptions indicate an ability to understand business problems and derive insights, suggesting good problem-solving and analytical thinking. However, the current experience level is very junior, and the descriptions, while clear, lack depth in explaining methodologies or challenges faced, which is typical for an entry-level profile.