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Data Science with less than a year in AI, Machine Learning, and Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical and detail-driven Data Science graduate specializing in Artificial Intelligence, machine learning applications, and robust statistical analysis. Proficient in engineering end-to-end data pipelines, translating complex unorganized datasets into actionable insights using Python and SQL, and designing dynamic executive dashboards in Power BI. Equipped with solid foundational knowledge in advanced Data Structures and Algorithms (DSA) to develop optimized, scalable backend logic and analytical tools.
Guru Gobind Singh Indraprastha University
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
AI-Driven KYC Verification System Using Face Recognition and Role-Based Classification
June 1, 2026 – Present
Engineered and published peer-reviewed AI research detailing novel biometric performance metrics and cross-dataset validation techniques to optimize verification precision. Designed robust system architectures capable of handling real-time identity matching and identity-theft mitigation for enterprise KYC verification systems.
Full-Stack Face Recognition System for KYC
June 1, 2026 – Present
Architected and deployed a desktop biometric authentication system utilizing computer vision frameworks to automate high-throughput identity extraction. Integrated deep-learning models to secure user authentication flows and cross-reference records against local databases for precise criminal detection.
Enterprise Data Visualization & Pipeline Automation
June 1, 2026 – Present
Transformed large-scale, unstructured transactional data into highly structured, analysis-ready relational databases. Engineered automated Extract-Transform-Load (ETL) routines and crafted interactive Power BI tracking dashboards that effectively minimized manual overhead by transforming core KPIs into accessible charts.
Algorithmic Optimization & Data Structuring
June 1, 2026 – Present
Developed high-performance code frameworks resolving intricate algorithmic workflows and structural optimization matrices. Applied core OOP patterns and advanced data structures to drastically optimize run-time execution efficiency during complex information sorting.
Predictive Customer Insight Pipeline
June 1, 2026 – Present
Constructed natural language processing (NLP) pipelines to scrape, clean, and process multi-channel feedback data. Leveraged statistical segment clustering to yield definitive user cohort insight metrics for future trend forecasting and churn management.
Data Science Program
Alma Better
June 1, 2026 – Present
Data Analyst Training
Coding Ninjas
June 1, 2026 – Present
Python for Data Analysis
Coding Ninjas
June 1, 2026 – Present
SQL & MS Excel Advanced Applications
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in Data Science, aligning well with the target role. The diversity of projects (KYC systems, ETL, NLP, algorithmic optimization) shows a broad exposure to different facets of data science. The certifications further reinforce a proactive learning attitude. However, the lack of professional experience means cultural fit in a corporate setting, beyond technical alignment, is largely unassessed.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to translate complex data into actionable insights and design user-friendly dashboards, suggesting good problem-solving and communication skills. The publication indicates a capacity for independent research and detailed documentation. However, without direct work experience or psychometric test results, it's difficult to fully assess operational fit, teamwork, and stress handling.