Freelancers using pandas in Houston
Freelancers using pandas in Houston
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Akshat Sharma
Houston, USA
Full Stack Developer | Project Manager | Executive Assistant
46
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Full Stack Developer | Project Manager | Executive Assistant
0
Full Stack Approach
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166
1
Working on AI Face calibration
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135
1
AI & Full-Stack Developer | LLMs, Machine Learning
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🚀 Introducing Warmo Cold email isn’t failing because of bad copy. It’s failing because your emails never reach the inbox. Most outbound tools focus on sequences, personalization, and send volume. But none of that matters if your domain reputation is weak and your emails land in spam. That’s why we built Warmo. Warmo is an AI-powered outreach platform designed to improve deliverability and help teams run smarter outbound campaigns. Instead of just sending emails, Warmo helps you: • Warm up and protect your domain reputation • Run AI-powered outreach campaigns • Track replies and intent signals • Manage outbound from one place If outbound is part of your growth strategy, Warmo helps ensure your emails are actually seen. 👉 https://warmo.ai
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Al Kaizar Sappayani
pro
Houston, USA
AI Engineer(AI Agents, LLM Apps, Chatbots, RAG)
New to Contra
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AI Engineer(AI Agents, LLM Apps, Chatbots, RAG)
13
AI Generated Data Analysis Problem: Weekly call-center ops data needed actionable synthesis; manual analysis was slow and inconsistent. Solution: Built an LLM data analysis agent: ingest call data, run NLP + aggregations, detect anomalies, and generate a weekly executive PDF with insights, metrics, and recommended actions Metrics Automated weekly PDF; similar setups cut analysis time ~90% and improved decision turnaround (one related client saw 17% revenue lift over 7 months) Tech: Python ETL, Pandas, NLP, GPT-4o, Airflow Result: Consistent reports that surface issues fast and drive quicker corrective action.
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Marketing Assistant Bot As part of my work in AI-driven automation, I built a Marketing Assistant Bot using Relevance AI to address a major challenge in customer engagement: inefficient lead handling and inconsistent follow-ups. Businesses often struggle with manually qualifying leads, responding to competitor comparisons, and guiding potential customers through the sales funnel. The lack of automation resulted in lost opportunities, delayed responses, and high drop-off rates. To solve this, I developed an assistant on Relevance AI
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AI Sales Agent Problem: Customers needed fast, accurate answers on courses/licensing/policies from a huge, changing catalog; support handled repetitive questions and compliance is state-specific. Solution: Built RUBI, an embedded RAG purchase advisor in using ETL + multimodal indexing and hybrid retrieval (metadata + vector + structured lookups) with cited, grounded answers, purchase flows, analytics, and tuning loops. Metrics: 695,042 conversations; 2.6 Qs/convo; feedback 6% up / 94% down; ~10s to first token, ~11s complete; KB >100k structured rows.
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AI - powered insurance Agent Problem: Prior auth was manual—staff reviewed patient docs to predict approvals, making the process slow and resource-heavy. Solution: Built a HIPAA-compliant AI auth system: extract clinical data (OCR + clinical NLP), form a structured EHR-like record, evaluate insurer rules, and generate approval suggestions; added voice input workflows via STT/TTS plus secure storage and audit logging. Metrics: Reduced turnaround time and improved SLA adherence (similar projects reached ~98%). Result: Automated major parts of auth decisioning while staying compliant and auditable. Skills: AI Speech-to-Text AI Agent Development AI Builder AI Audio Generation AI Security
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