Freelance Database Specialists in MaharashtraFreelance Database Specialists in Maharashtra
Data Engineering & Optimization Expert 🚀
Data Engineering & Optimization Expert 🚀
Hybrid App Developer with 7+ years of Work Experience.
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Hybrid App Developer with 7+ years of Work Experience.
Data Wizard: Engineer and Visualizer
Data Wizard: Engineer and Visualizer
Experienced Flutter developer turning app ideas into reality
Experienced Flutter developer turning app ideas into reality
AI & Full-Stack Developer | Enterprise Software
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    Rating
    11
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AI & Full-Stack Developer | Enterprise Software
Cover image for Pharmaceutical company portal
Pharmaceutical company portal
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Cover image for feel free to give your review on this design
feel free to give your review on this design
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Cover image for Your own secure AI workforce,
Your own secure AI workforce, built on your own data. Most SMEs pay for one expensive, generalist AI that knows nothing about their business. We're flipping that: a small, focused AI assistant for each department (HR, Accounts, Marketing, Sales, and Operations), each trained on your own business data. How we build it: The result is lower cost, higher accuracy, and an AI that actually understands how your business runs. We're piloting this internally at Indigloo first. If you run an SME and want to see a department assistant in action, DM me. 🚀 🔗 indigloo.co (http://indigloo.co)
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🌟 Boundary-Pushing Designer & Developer 🚀
    $•••••
    Earned
    4x
    Hired
    3
    Followers
🌟 Boundary-Pushing Designer & Developer 🚀
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AI Marketing Specialist
New to Contra
AI Marketing Specialist
Cover image for Developed an application designed to
Developed an application designed to capture and analyze niche, long-tail conversational keywords frequently utilized within AI interfaces. Because traditional SEO tools often overlook conversational search intent phrases, this application maps and logs specific semantic variations into structured database layouts, enabling digital creators and businesses to optimize their content strategies for next-generation search behaviors.
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Cover image for Designed and structured a comprehensive
Designed and structured a comprehensive comparative matrix detailing the unique capabilities of leading large language models (ChatGPT, Gemini, and Claude). This asset translates complex technical model parameters—such as context capacities, automation layers, and native execution engines—into highly scannable, engaging visual documentation tailored for digital platforms and tech-focused audiences.
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Cover image for Deep dive into full-stack WordPress
Deep dive into full-stack WordPress optimization workflows, highlighting custom structural code implementation alongside flawless PageSpeed optimization metrics (100/100 performance).
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Cover image for Live Look: Centralized Notion database
Live Look: Centralized Notion database tracking structured properties, category filters, and scannable technical documentation drops.
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🧬 Merging Life & Data Science for Unique Insights
🧬 Merging Life & Data Science for Unique Insights
Cover image for SQL data mart for a
SQL data mart for a 1,000-patient hypertension trial, tracking enrolment, adverse events, dropout and event-free survival. Highlights Normalised schema: sites, treatment arms, patients, visits, adverse events, outcomes SQL analytics for enrolment trends, adverse-event rates by arm, and dropout rates Survival-style queries for event-free outcomes
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Cover image for NLP tool that ranks candidates
NLP tool that ranks candidates against a job description using skill overlap, education match, experience and semantic similarity. Highlights Extracts skills, education and years of experience from resumes Gives each candidate a composite score using TF-IDF semantic similarity Recruiter dashboard for shortlisting
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Cover image for Executive Power BI dashboard covering
Executive Power BI dashboard covering 5 years of hotel data across cities, booking channels, managers and loyalty members. Highlights Revenue, net profit, ADR and RevPAR in one executive view Manager benchmarking and booking-channel efficiency Guest satisfaction and loyalty member analysis
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Cover image for End-to-end system that turns CRM
End-to-end system that turns CRM tables into dropout predictions, with a 0–100 risk score for every student and a retention dashboard. Highlights MySQL feature layer: engagement score, academic score, enrolment tenure Random Forest model (ROC-AUC 0.74), with predictions written back to the database Power BI dashboard with risk segments, course-level risk and a priority intervention list
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