Data Analyst · Analytics Engineer · ML Practitioner
Avneesh
Kumar.
I build real-time data pipelines, interactive BI dashboards, and graph anomaly detection platforms. Transforming high-velocity, complex data into actionable intelligence and explainable machine learning models.
01 — Professional Narrative
About
Avneesh.
HYDERABAD, INDIA
I am a Data Analyst and Analytics Engineer passionate about bridging the gap between raw data streams and actionable business intelligence.
Currently pursuing my Bachelor of Science in Data Analytics at ICFAI Tech (2023–2026), I combine strong statistical foundations with hands-on software engineering. I don't just build static reports; I engineer automated data pipelines, real-time ingestion backends, and machine learning systems that run continuously in production.
My work spans sports analytics (lasyly.me), Anti-Money Laundering transaction fraud detection (Sentinel), and civic anomaly monitoring (City Agent, placed 4th nationally at ByteVerse 1.0). Whether it's writing high-performance SQL window queries, building Neo4j graph traversals to unmask money mule rings, or computing SHAP explanations for predictive models, I build solutions engineered for scale and clarity.
Quick Profile Snapshot
Core Architectural Pillars
Relational & Graph Architecture
SQL & CypherDesigning normalized PostgreSQL schemas, query optimization, indexing, and multi-hop Neo4j Cypher traversals for entity link analysis.
Real-Time ETL & Stream Processing
Event StreamsBuilding resilient pipelines connecting live APIs (BALLDONTLIE, NBA API, WebSockets) with sub-2-second event processing and automatic failover.
Explainable Machine Learning
SHAP & MLApplying supervised classification, anomaly detection algorithms, and SHAP value explainability so compliance teams understand every alert.
Executive BI & Decision Dashboards
Power BI & DAXCrafting intuitive Power BI, Next.js, and React dashboards equipped with DAX metrics and dynamic filters for instant executive decision-making.
02 — Expertise & Tooling
Technical
Skillset.
A comprehensive toolkit spanning data engineering, statistical analysis, business intelligence, and production machine learning workflows.
Languages & Databases
Writing performant SQL queries, stored procedures, normalized schemas, and graph traversals for high-throughput transactional and analytical workloads.
Data Analytics & Pipelines
End-to-end data ingestion, transformation, automated anomaly detection, and statistical profiling across streaming and batch data sources.
BI & Data Visualization
Designing executive-level Power BI dashboards, DAX measures, and structured analytical models that translate complex tabular data into clear business decisions.
Machine Learning & Graph Analytics
Supervised anomaly detection, tabular classification models, explainable AI with SHAP values, and network graph relationship extraction.
AI & Modern Engineering
Production-ready backend APIs, agentic LLM workflows, automated pipelines, Docker containerization, and continuous integration workflows.
03 — Selected Portfolio Work
Featured
Platforms.
lasyly.me
Sports Analytics & Community Platform
Role: Full-Stack Developer & Data Architect
A high-throughput sports analytics platform that ingests real-time feeds, computes matchup confidence grades, and delivers interactive visual analytics for players and teams.
Built a live sports analytics platform integrating multiple APIs (BALLDONTLIE, Prop-Odds, nba_api, YouTube Data API v3) to collect, transform, and analyze player and game data across NBA, tennis, football, and more.
Designed a relational data model and React analytics dashboard for player-prop analysis, live trend tracking, and performance comparison.
Built an adaptive live-data pipeline using Supabase and Node.js to maintain near-real-time updates while reducing unnecessary API requests by ~70%.
Hardened the stack end-to-end (Fastify, Supabase, React Native) and deployed on a high-availability Vercel + Railway + Supabase architecture.
Sentinel
AML Analytics & Anomaly Detection Platform
Role: Data Analyst & ML Engineer
An Anti-Money Laundering (AML) investigation platform combining SQL behavioral analytics, supervised ML classifiers, Neo4j graph relationships, and executive Power BI reporting.
Analyzed transaction and behavioral data using SQL, rule-based detection, and supervised anomaly-detection models to identify suspicious activity patterns.
Built Neo4j graph analytics to uncover relationships between entities and added SHAP-based explanations to interpret model-driven alerts for compliance audits.
Developed Power BI reporting and a FastAPI/Next.js investigation interface to surface anomalies, risk indicators, and investigation results.
City Agent
Real-Time Urban Analytics Dashboard
Role: Real-Time Systems & Analytics Lead
A real-time civic intelligence platform monitoring traffic bottlenecks and environmental anomalies with sub-2s incident alerts. Placed 4th nationally at ByteVerse 1.0 (ICFAI Dehradun).
Built a real-time dashboard for traffic and civic anomaly monitoring using live API data feeds.
Engineered real-time anomaly detection pipelines processing sensor feeds with under 2-second alert generation.
Placed 4th nationally among 100+ competing teams at ByteVerse 1.0 national hackathon.
NBA News Telegram Bot
Automated News Aggregator & Pipeline
Role: Python Automation Engineer
An automated scraping pipeline collecting NBA trade, injury, and game updates across multiple online sources with instant formatting and scheduled push notifications.
Built a Python automation tool that scrapes NBA news from multiple sources and auto-posts updates to a Telegram channel on a scheduled pipeline.
Implemented intelligent deduplication and regex-based text extraction to maintain high signal-to-noise ratio with zero manual intervention.
04 — Interactive Data Terminal
Live Query
Workbench.
Interactive playground demonstrating production queries and data transformation logic from Sentinel and lasyly.me platforms.
WITH TransactionVelocity AS (
SELECT
account_id,
transaction_id,
amount,
timestamp,
COUNT(*) OVER(
PARTITION BY account_id
ORDER BY timestamp
RANGE BETWEEN INTERVAL '60 minutes' PRECEDING AND CURRENT ROW
) AS txn_velocity_60m,
SUM(amount) OVER(
PARTITION BY account_id
ORDER BY timestamp
RANGE BETWEEN INTERVAL '60 minutes' PRECEDING AND CURRENT ROW
) AS cumulative_volume_60m
FROM public.financial_ledger
WHERE timestamp >= NOW() - INTERVAL '24 hours'
)
SELECT
account_id,
txn_velocity_60m,
cumulative_volume_60m,
ROUND((cumulative_volume_60m / NULLIF(txn_velocity_60m, 0)), 2) AS avg_ticket_size,
CASE
WHEN txn_velocity_60m > 15 AND cumulative_volume_60m > 50000 THEN 'CRITICAL_HIGH_RISK'
WHEN txn_velocity_60m > 8 THEN 'ELEVATED_WATCHLIST'
ELSE 'NOMINAL'
END AS risk_classification
FROM TransactionVelocity
WHERE txn_velocity_60m >= 5
ORDER BY cumulative_volume_60m DESC
LIMIT 5;| account_id | txn_velocity_60m | cumulative_vol | avg_ticket | risk_classification |
|---|---|---|---|---|
| ACC_7829104 | 18 | $94,250.00 | $5,236.11 | CRITICAL_HIGH_RISK |
| ACC_9921045 | 16 | $78,500.00 | $4,906.25 | CRITICAL_HIGH_RISK |
| ACC_1204882 | 9 | $31,400.00 | $3,488.89 | ELEVATED_WATCHLIST |
| ACC_4490123 | 7 | $24,150.00 | $3,450.00 | ELEVATED_WATCHLIST |
| ACC_3309187 | 6 | $18,900.00 | $3,150.00 | NOMINAL |
05 — Experience & Education
Background &
Credentials.
Academic foundation in Data Analytics paired with practical frontend and data engineering experience.
Industry Experience
Frontend Developer
SkillBanc · Remote
Built and shipped mobile app UI features using Flutter and Dart, collaborating with backend and design teams on responsive, cross-platform screens and components.
Fixed UI bugs and improved app responsiveness across Android and iOS builds, ensuring consistent high-performance rendering.
Formal Education
Bachelor of Science, Data Analytics
ICFAI Tech · Hyderabad, India
Specialized in Statistical Analysis, Database Management Systems (SQL & NoSQL), Machine Learning, Anomaly Detection, and Big Data Processing.
Awarded academic merit scholarship for entrance test performance.
Elected Captain of the College Basketball Team.
06 — Honors & Leadership
Honors &
Achievements.
Recognition in national competitive hackathons, academic scholarship merit, and athletic leadership.
ByteVerse 1.0 National Hackathon
Placed 4th nationally among 100+ competing engineering teams. Engineered City Agent, a real-time urban traffic and civic anomaly detection dashboard processing multi-stream sensor feeds in under 2 seconds.
College-Level Hackathon
Secured 1st place in intensive college hackathon by delivering an end-to-end data-driven product prototype within a strict 24-hour sprint.
Entrance Test Merit Scholarship
Awarded competitive academic merit scholarship based on outstanding entrance examination ranking and quantitative aptitude performance.
Captain of College Basketball Team
Led the varsity basketball squad through regional tournaments, fostering communication, strategic tactical execution under pressure, and collective team resilience.
07 — Get In Touch
Let's Build Data
Intelligence.
I am actively seeking Data Analyst and Analytics Engineering opportunities. Whether you have a role opening, an interesting data pipeline challenge, or a hackathon project, let's talk.
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