Data Analyst with 1+ years in SQL, Python & Power BI
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Assessing your cultural and operational fit
Results-driven Data Analyst fresher with strong command of SQL, Python, and Power BI, and demonstrated ability to translate raw data into actionable business insights. Delivered 4 end-to-end analytics projects spanning process mining, churn analysis, predictive modelling, and large-scale dashboarding each grounded in real business outcomes. Published 5 research papers, led teams across 6+ national datathons and hackathons, and earned a Grade A in ITC Infotech's STEM Data Analytics program. Brings an analyst's mindset, business-first thinking, and a track record of community leadership from day one.
Kristu Jayanti University
BCA Analytics · Analytics
August 1, 2023 – June 30, 2026
St Anne's Pre-University College
Class XII · PCMB
June 1, 2023 – May 31, 2023
Maruthi Vidyalaya
Class X
June 1, 2021 – May 31, 2021
Study Comrade Private Limited
React Developer Intern
May 1, 2025 – July 1, 2025
India
Powerlifting Analytics Dashboard
June 1, 2026 – June 1, 2026
Designed an analytics platform covering 8,482 competitions and 136,000+ lifters with KPI cards, competition trends, federation benchmarking, equipment distribution, and geo-level insights. Standardized raw multi-source datasets in Python to ensure analytical reliability; published GitHub-ready project with full documentation and visual narrative.
WoodCorp Order-to-Cash Process Mining
June 1, 2026 – June 1, 2026
Engineered 3 interactive Celonis dashboards to analyze the end-to-end O2C process across 19,953 customer orders covering delivery execution, revenue-at-risk, and contractor SLA compliance. Surfaced high-impact process variants and delivery bottlenecks via event-log mining, quantifying downstream effects on customer-level revenue exposure. Delivered a prioritized action framework proactive delay alerts, contractor performance tracking, process standardization with direct linkage to measurable operational outcomes.
Customer Churn Analysis & Retention Intelligence
June 1, 2026 – June 1, 2026
Analyzed 7,000+ telecom customer records to isolate primary churn drivers: month-to-month contracts, sub-12-month tenure, and absence of technical support drive the highest-risk cohorts. Built a multi-page Power BI dashboard with drill-down across contract type, pricing tier, tenure band, and support usage enabling precise, segment-level retention targeting. Produced a data-backed churn playbook with 5 retention levers mapped to high-risk segments identified through SQL-based cohort analysis.
Student Performance Analytics Dashboard
June 1, 2026 – June 1, 2026
Feature-engineered academic data and built heatmaps and treemaps quantifying the impact of parental education and socioeconomic background on student outcomes. Trained Logistic Regression and Random Forest classifiers to predict pass/fail outcomes; applied feature importance analysis to surface the most actionable academic risk signals.
Data Analyst Grade A
ITC Infotech STEM Program
June 1, 2026 – Present
Qlik Courses Certification
Unknown
June 1, 2026 – Present
Agentic AI Certification
UiPath
June 1, 2026 – Present
RPA Developer Certification
Unknown
June 1, 2026 – Present
Business Analyst Certification
Unknown
June 1, 2026 – Present
Celonis Certified (Process Mining)
Unknown
June 1, 2026 – Present
UiPath Certified Developer Associate
Unknown
June 1, 2026 – Present
Qlik Datathon Participation Certificate
Unknown
June 1, 2026 – Present
Microsoft Power BI Certification
Unknown
June 1, 2026 – Present
Google Analytics - Beginner & Intermediate
Unknown
June 1, 2026 – Present
Technical Analyst Certification
Unknown
June 1, 2026 – Present
Automation Analyst Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for a dynamic, learning-oriented environment. Their extensive involvement in academic projects, club leadership, and competitive events showcases a proactive, collaborative, and continuous learning mindset. The diversity of projects (powerlifting, O2C process, churn analysis, student performance) and research papers (LLMs, Blockchain, Responsible AI) indicates a broad intellectual curiosity and willingness to explore various domains. Their leadership roles in data science and automation clubs suggest a strong inclination towards community building and knowledge sharing, which are valuable traits for team integration and mentorship.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and collaboration skills through their involvement in various clubs and hackathons. Their ability to mentor peers, organize events, and work in teams suggests a proactive and community-oriented approach. The experience in iterative development and code review from the React Developer internship indicates an understanding of professional development habits. However, the lack of completed psychometric or English tests means there is insufficient data to fully assess logical reasoning, work attitude, stress handling, and communication clarity beyond what is inferred from project descriptions.