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Data Analyst with less than a year in Data Analytics & 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
CSE graduate with hands-on experience turning data into decisions using SQL, Python, Power BI, and Tableau. Proven across real-world internships, Forage simulations with Deloitte, PwC, and TCS, and a growing portfolio of end-to-end dashboards and analytics projects. Certified by Microsoft, Oracle, and IBM — and always building something new. Looking for an entry-level role where I can contribute meaningfully from day one and keep growing.
Sri Vasavi Engineering College (JNTUK)
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Bharatiya Vidya Bhavan's Residential Public School
Class XII (CBSE)
N/A – May 31, 2022
Bharatiya Vidya Bhavan's Residential Public School
Class X (CBSE)
N/A – May 31, 2020
AICTE / SmartBridge (APSCHE)
Data Analytics & BI Intern
December 1, 2025 – March 31, 2026
India
Ravello Systems Pvt. Ltd.
Software Development Intern
June 1, 2025 – July 31, 2025
India
Power BI Portfolio Dashboards
June 25, 2026 – Present
► Built end-to-end dashboards CRM Pipeline (funnel KPIs, lead conversion), Sales Performance (revenue trends, regional breakdown), Supply Chain (inventory & fulfilment), and E-Commerce (orders, GMV, customer segments) - using Power BI with DAX measures, drill-through pages, and dynamic slicers.
View ProjectSNP-Based Multi-Gene Disease Risk Predictor
June 25, 2026 – Present
► Trained LightGBM & XGBoost classifiers on genomic SNP data for multi-label disease risk prediction; deployed via Flask + React full-stack application with a team.
Stock Price Forecasting ARIMA
June 25, 2026 – Present
► Implemented time-series model with stationarity checks, ACF/PACF analysis, and optimised ARIMA parameters to minimise forecast error.
Price Comparison Engine via Web Scraping
June 25, 2026 – Present
► Automated cross-platform price extraction from Flipkart & Amazon using Python (BeautifulSoup + requests), cutting manual comparison time from hours to seconds.
PwC - Power BI HR Analytics Dashboard (Forage, 2025)
January 1, 2025 – Present
► Built multi-page Power BI dashboard tracking gender-balance KPIs (hiring, promotion, attrition) using advanced DAX measures.
TCS - Data Visualisation: Empowering Business (Forage, 2025)
January 1, 2025 – Present
► Created executive-ready visualisations and prepared data-backed questions for a senior leadership briefing, simulating end-to-end analyst-to-stakeholder communication.
Data Analytics with Tableau
SmartBridge / APSCHE
January 1, 2026 – Present
Data Analytics Job Simulation
Deloitte / Forage
January 1, 2026 – Present
Data Analytics Essentials
Cisco
January 1, 2026 – Present
Data Visualisation Simulation
TCS / Forage
January 1, 2025 – Present
OCI Data Science Professional
Oracle University
January 1, 2025 – Present
Data Fundamentals
IBM SkillsBuild
January 1, 2025 – Present
Power BI Job Simulation
PwC / Forage
January 1, 2025 – Present
Azure AI Fundamentals (AI-900)
Microsoft
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic, personal, and professional simulations, indicates a broad interest in data science and analytics. Their engagement with Forage simulations from PwC, TCS, and Deloitte suggests an adaptability to different organizational contexts and a willingness to learn industry-specific practices. The academic project involving a team deployment also points to collaborative potential. The candidate's continuous learning through certifications aligns well with a culture of growth and skill development.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and practical application, as evidenced by numerous certifications and project simulations. Their experience in simulating analyst-to-stakeholder communication suggests an understanding of the operational aspects of a data analyst role. The software development internship also indicates exposure to sprint cycles and defect identification, which are valuable in a collaborative environment.