Data Science with less than a year in AI Engineering & Data Analytics, skilled in Python, Power BI,
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Assessing your cultural and operational fit
Data Science Student & Insights Architect who loves turning messy, "noisy" data into stories that actually make sense. Whether I'm building a predictive engine to track down high-value leads or designing Power BI dashboards for my college placement cell, my goal is always the same: making complex data feel like common sense. Beyond just writing code, I'm a PL-300 certified Power BI enthusiast who believes a data model is useless unless it actually helps someone make a better decision.
HSNC University - School of Applied Sciences
Bachelor of Science · Data Science and Business Analytics
August 1, 2023 – April 1, 2026
Crizalinfo Tech
Artificial Intelligence Data Analyst Intern
June 1, 2025 – November 1, 2025
India
TherapyU
Data Analyst Intern
May 1, 2025 – June 1, 2025
India
DATA MINT - From Raw Data to Ready Intelligence
August 1, 2025 – Present
Architected and developed an end-to-end AI-assisted data preprocessing platform using PyQt5, enabling interactive dataset cleaning, transformation, visualization, and quality analysis through a desktop-based analytics interface. Implemented scalable preprocessing pipelines with support for missing value handling, outlier treatment, normalization, encoding, smart date parsing, row filtering, and automated pipeline export for reproducible analytics workflows. Designed performance-oriented data ingestion mechanisms including chunked CSV processing for 100k+ row datasets and multi-format compatibility across CSV, Excel, JSON, TXT, and Parquet sources. Integrated Claude AI APIs for conversational data analysis, automated preprocessing suggestions, and dataset summarization while engineering robust UI-to-API interaction flows and asynchronous background task execution.
Campus Recruitment Analytics Dashboard
December 1, 2024 – January 1, 2025
Designed and deployed a Power BI Campus Recruitment Analytics Dashboard for the college placement cell to monitor hiring outcomes, recruiter engagement, and department-wise placement performance. Engineered scalable data models and KPI-driven reports using DAX, Power Query, automated refresh pipelines, and interactive slicers to streamline recruitment analytics and reporting workflows. Analysed student application conversion trends and identified top recruiting companies to support data-driven placement planning and recruitment performance evaluation. Presented actionable recruitment insights to company HR representatives, faculty members, and institutional board stakeholders during placement review and strategy discussions.
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Microsoft
June 1, 2026 – Present
Python Programming Certification
GUVI, IITM Pravartak & NASSCOM
June 1, 2026 – Present
R Programming Certification
GUVI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data science skills, from building an AI-assisted data preprocessing platform to developing a campus recruitment analytics dashboard. This breadth, combined with internships in AI Data Analysis and Data Analysis, shows adaptability and a willingness to tackle different types of data challenges. The academic background in Data Science and Business Analytics, coupled with certifications, indicates a strong commitment to the field. The blend of technical and business-oriented projects suggests a good fit for roles that require both analytical rigor and practical application of insights.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as 'Strategic Resource Optimization', 'Research Driven', 'Technical Pedagogy & Storytelling', 'Collaborative Mindset', 'Initiative & Direction-Setting', and 'Teamplayer'. These indicate a proactive, analytical, and team-oriented approach, which aligns well with the collaborative and problem-solving nature of a Data Science role. The project descriptions show an ability to translate complex data into actionable insights, which is crucial for operational fit.