> Data Analyst | Python | SQL | Power BI | Statistical Analysis
Data Analyst with strong experience in data cleaning, exploratory data analysis, statistical testing, and dashboard development. Proficient in Python, SQL, Pandas, and Power BI with the ability to convert large datasets into actionable business insights and decision-making support.
Understanding the player
I'm a final-year B.Tech CSE student at SR University, Warangal, building a career in data analytics the hard way — by shipping projects that solve real problems, not by hoarding certificates.
My edge: I treat every dataset as a business problem first, code problem second. Whether it’s shipping Career Ledger — a live full-stack job-application tracker with JWT auth, a JD-keyword analytics engine, and zero-config deploys on Vercel + Render — or engineering a Decision-Intelligence Framework that auto-generates Hike/Retain/Review calls from 6 months of employee data, or building a 7-season F1 Strategy Dashboard across 193K+ laps — I care about the story the numbers are trying to tell.
Currently training as an LLM Post-Training Intern — learning how the AI tools reshaping my field actually get built. Goal: be the analyst who understands both the SQL and the system.
Data analysis, BI & end-to-end platform builds
Full-stack, live in production — a private job-application command center built end-to-end. FastAPI + PostgreSQL + React 18 backend with JWT auth, bcrypt password hashing, multi-tenant data isolation, and resume file uploads. The differentiator is the JD keyword extraction engine — a two-pass tokenizer with a 200+ word stop-list that surfaces which skills recur across the job descriptions a user actually targets. Deployed on Vercel + Render with CI/CD on every push.
Scope: 12 REST endpoints · 6 KPIs · Live JD keyword analytics · Auto-deployed
End-to-end race analytics platform covering 7 F1 seasons (2018–2024) — ingested telemetry from 4 APIs (FastF1, Ergast, OpenF1, Weather), loaded into a normalized 7-table SQLite schema (193K+ laps, 12K+ pit stops), and delivered insights through a 7-page Power BI dashboard. Engineered custom metrics including Tire Management Index, Undercut Success Rate, and Lap Time Consistency Score — the same questions F1 strategists answer in the paddock.
Scope: 20 analytical SQL queries · 30+ visuals · Live race simulation mode
Owned backend architecture on a full-stack performance evaluation system for SMEs. Designed a 7-stage Excel upload pipeline processing 3–6 months of employee data, computed normalized 0–100 scores with zero-tolerance violation logic, and applied pure-Python linear regression to classify trends (Improving / Stable / Declining). Delivered a Hike / Retain / Under Review suggestion engine with confidence scoring — turning raw timesheets into managerial decisions.
Achievement: 29 backend files · JSONB storage · Live decision engine
Analyzed 284,807 transactions to identify fraud patterns in a highly imbalanced dataset (0.17% fraud rate). Evaluated with F1-score and PR-AUC — the right metrics for minority-class problems, not accuracy. Translated model outputs into a 4-tier risk categorization system that a business team can actually act on, not just a confusion matrix.
Performance: F1 = 0.88 · PR-AUC = 0.87
Unlocked abilities & skills
Real-world data missions
Working on the human side of how large language models get refined after base training — contributing to AI training data curation, quality evaluation, and response annotation pipelines that shape how LLMs behave in production. Reviewing and rating model outputs across reasoning, coding, and factuality dimensions to feed reinforcement learning from human feedback (RLHF) and supervised fine-tuning workflows. Gaining first-hand exposure to the evaluation frameworks behind the AI tools reshaping the data-analyst profession.
Built responsive web pages across 4+ UI screens using HTML, CSS, and JavaScript. Automated form validation and CRUD workflows across 4+ UI screens.
Unlocked milestones & certifications
[ Expected: 2026 ]
B.Tech Computer Science and Engineering
SR University, Warangal, Telangana | Specialization: Data Analytics, Business Intelligence, Statistical Analysis
[ Achievement Collection ]
[ Pre-University Levels ]
Narayana Junior College, Kondapur
Intermediate Education
SSC Matrix High School, Hanamkonda
Secondary Education
Data-driven event management
SR University | 2023 – 2025
Tracked participation and event metrics for 6 large-scale and 22 mini events using Excel. Created summary dashboards to monitor engagement trends and support event planning decisions. Used data insights to optimize scheduling and improve participation consistency across events.
Leveraged Excel to track 6 large-scale and 22 mini events, analyzing participation patterns and creating dashboards for engagement monitoring and strategic planning.
Led the organization of major intercollegiate events like Sparkle 2K25, managing logistics, registration systems, and technical setups for large-scale gaming competitions.
