Freelancers using SQL in New York
Freelancers using SQL in New York
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Zahid Hussain
pro
New York, USA
AI Agents developer | Fullstack SaaS & Workflow Automation
$25k+
Earned
1x
Hired
5.0
Rating
85
Followers
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AI Agents developer | Fullstack SaaS & Workflow Automation
2
Own the Podium — Role-Based Funding Platform
2
21
3
TechFoundry.io — Two Businesses, One Site, Built in a Week
1
3
16
2
Agent Ops Console: the human review layer for AI agents
2
24
2
AI Document Intake Agent for Email Workflows
2
26
SQL
(1)
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Anastasiya Kotelnikova
New York, USA
Data & Machine Learning Engineer | SQL, Python, AWS, NLP
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Data & Machine Learning Engineer | SQL, Python, AWS, NLP
0
Human vs AI Text Classifier
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15
0
COVID-19 Case Forecasting with Python
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22
0
House Price Regression with R
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18
0
Equity Portfolio Optimization with R
0
6
SQL
(1)
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Jovanne Saldierna
New York, USA
Analytics consultant for dashboards, SQL, and insights.
New to Contra
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Analytics consultant for dashboards, SQL, and insights.
1
Most small businesses are making decisions off numbers they don't fully trust. Mismatched reports. Spreadsheets that take hours to update. Metrics that mean different things to different people. I spent 4 years fixing exactly this at HCA Healthcare across 186 facilities and at Dell across 100+ enterprise accounts. Reduced manual reporting by 60%. Standardized 30+ KPIs so every team was finally working from the same numbers. Now I bring that same rigor to smaller teams that need real analytics without hiring a full-time analyst. If your data is a mess or your reporting takes longer than it should, that's exactly what I do. Open to dashboard builds, SQL audits, and monthly reporting setups. DMs open. https://public.tableau.com/app/profile/jovanne.saldierna/viz/ShippingCostIntelligenceSystem/ShippingCostIntelligence
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73
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Sales Performance Analytics Dashboard
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8
0
Carrier Cost Optimization & Negotiation Dashboard
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9
1
Carrier Optimization Engine, $293K Savings Model Built a Tableau optimization engine modeling carrier rate scenarios across 28 shipping lanes to identify validated cost-saving opportunities. The analysis found $293,482 in annual savings, an 18.6% cost reduction, and $58.70 potential savings per shipment by comparing current rates, proposed rates, and savings by carrier. The dashboard also surfaced the highest-value optimization lanes, with the South region representing $71K in opportunity and lane-level savings ranging from 18–20% across multiple carriers.
1
53
SQL
(7)
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Shannon Liao
Inwood, United States
Pultizer-winning journalist in tech, culture and biz.
New to Contra
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Pultizer-winning journalist in tech, culture and biz.
0
Digital Board Game Review Project
0
4
0
TikTok with over a million impressions
0
7
0
Unemployment claims from Asian Americans have spiked 6,900%
0
5
0
Development Challenges for Diablo IV
0
4
SQL
(1)
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David Everett
Brooklyn, USA
Technical Operational Expert
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Technical Operational Expert
0
Webflow CMS from Snowflake
0
21
0
Zendesk API & App Development
0
20
0
MyTrainingPlan
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20
0
Snowflake Alarm Slack Bot
0
2
SQL
(1)
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Moses NJUGUNA
New York, USA
Avid Software Engineer, Data Engineer and Technical Writer
New to Contra
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Avid Software Engineer, Data Engineer and Technical Writer
0
This is a web design project for an Institution.
0
56
0
I recently built an interactive Power BI sales dashboard tracking $17.91M in total sales across supervisors, managers, and order years. I then designed the data model and DAX measures behind the KPI cards, gauge, and trend visuals, and built drill-down views: sales by supervisor and year, quantity split by manager, and order volume by year. I used combo visuals (donut, gauge, bar, and line charts) on one page so stakeholders can get the full picture without switching reports. I also focused on a clean, single-screen layout that non-technical stakeholders can read at a glance. #Microsoft Power BI #Daxko Operations #Data Visualization #Data Modeling #Business Intelligence
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36
1
Building the technical foundation for Otonix, an AI-native IT Operations Platform I worked on the engineering side of Otonix, an autonomous IT operations platform built on agent-first, task-specific AI agents that monitor, triage, remediate, and escalate IT operations, instead of a chatbot bolted onto legacy RMM/PSA tooling. What the build involved: 🔹 Architecting the platform around four core agent capabilities: Monitor, Triage, Remediate, and Escalate. 🔹 Building the policy-guardrail layer that constrains automated actions and gates anything touching regulated systems or irreversible changes. 🔹 Implementing the audit trail: a signed, searchable, exportable log of every agent decision and action. 🔹 Working with a signal-ingestion pipeline (endpoints, servers, network, IoT) feeding into the triage/remediation flow. Python/FastAPI, Node.js, React, PostgreSQL, Docker, n8n, Kubernetes I build backend systems and full-stack platforms for technical products. Especially where reliability, auditability, and guardrails matter as much as the automation itself. If you're building something in a similar space, let's talk. 📩 mosesmorrisdev@gmail.com | github.com/Moses-Morris
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62
0
Escape Agency – Smart Booking & Content Hub
0
8
SQL
(1)
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Maxmus studio
New York, USA
AI Engineer & Backend Developer | Python, FastAPI & Flask
New to Contra
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AI Engineer & Backend Developer | Python, FastAPI & Flask
0
Flask API Bug Fixing & Error Resolution Diagnosed and resolved complex Flask application errors including 500 Internal Server Errors, database connection failures, and authentication issues in a client’s production environment. Delivered clean, commented code with full testing and documentation.
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85
1
BizLive: Real-Time Messaging & Live Streaming Architecture
1
3
1
MaxCinema: Flask Backend & Automated Content Management
1
1
3
Building AI for healthcare leaves zero room for error. I’m currently collaborating with an incredible team on Raphald AI, a medical detection application. Building the systems for a project with stakes this high is a massive reminder that the underlying backend architecture matters just as much as the machine learning model itself. When integrating diagnostic AI, your API endpoints cannot drop requests, and your database workflows demand absolute integrity. You aren't just passing JSON payloads; you are handling critical, real-time workflows where stability is non-negotiable. Engineering these systems continues to shape my approach to building robust Python backends. If you are developing a product that requires reliable AI integration or rock-solid FastAPI infrastructure, check out the newly updated services on my profile. Let's build something that works when it counts.
3
134
SQL
(1)
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Mboya Jeffers
New York, USA
Data engineer who builds full-stack analytics platforms.
New to Contra
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Data engineer who builds full-stack analytics platforms.
1
Equity Portfolio Overview
1
86
0
Automated equity portfolio analytics report — live performance vs SPY benchmark (Sharpe ratio, Beta, R-squared, annualized return, max drawdown). Macroeconomic environment section pulls directly from FRED: GDP, CPI, unemployment, Fed Funds rate, 10-year yield. All figures source-attributed with pull date. Built with Python — Yahoo Finance + FRED API, fully automated from data pull through PDF generation.
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81
0
Q2 2026 S&P 500 sector performance scoreboard — 11 GICS sectors ranked by quarterly return, YTD, 52-week return, annualized volatility, and momentum signal. Technology led Q2 at +45.5%, Utilities lagged at -5.2%. SPY benchmark included for comparison. Momentum classification (Bullish/Neutral/Bearish) based on 20-day vs 50-day MA crossover with price confirmation. Live data pulled from Yahoo Finance. Fully automated — Python handles the data pull, computation, ranking, and PDF generation.
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91
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Automated crypto portfolio intelligence report — 20 digital assets ranked by market cap, weight, and multi-timeframe return (24h, 7d, 30d). Includes executive summary with portfolio-level Sharpe ratio, weighted return, VaR at 95% confidence, and concentration risk flag. Live data pulled from CoinGecko API. Built with Python — fully automated from data pull through PDF generation.
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95
SQL
(1)
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