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README updated v1.1
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NirmitAgrawal02 committed Feb 5, 2024
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Formulated and documented Product 360 overview and optimized pipeline for client, achieving a 25% increase in efficiency
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Designed, developed, and integrated websites and external data sources with CRMNEXT Platform. Led management of MySQL
Designed, developed, and integrated websites and external data sources with CRMNEXT Platform. Led management of MySQL
database and optimization of procedures, improving efficiency by 40%
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Boosted performance by 30% through implementation of Auto-reloading functionality
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Constructed interactive reports and analytical dashboards, reducing manual data manipulation time by 99%
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Attained a 98% reliability rate by developing .NET APIs and conducting rigorous testing utilizing Postman and Soap UI
Crafted ASP.NET API, conducted rigorous testing utilizing Postman and Soap UI, achieving a 15% defect reduction and a 20%
improved system response times. Boosted performance by 30% through implementation of Auto-reloading functionality

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<div class="Job_Desc">
<ul>
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Engineered a cost-effective home assistant model leveraging Raspberry Pi, Arduino, and Home Assistant, achieving a 47%
Engineered a cost-effective home assistant model leveraging Raspberry Pi, Arduino, and Home Assistant, achieving a 47%
reduction in implementation costs compared to traditional solutions
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Produced a user-friendly dashboard using Flutter, enhancing accessibility and control, leading to a 51% surge in user satisfaction
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<div class="Experience" id="section2">
<h2>Things I've built</h2>
<div class="List" id="WorkList">
<div class="List" id="WorkList">
<div class="Job"><span class="far fa-hand-point-right"></span>
<a
href="https://github.com/sohmpatil/NPID-UI">National Police Incident Dashboard</a>
href="https://github.com/sohmpatil/NPID-UI">National Police Incident Dashboard <i> | React.js, Python, Apache Jena Fuseki, Sparql </i></a>
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<div class="Job_Desc">
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Integrated Flask API for seamless data flow, expanding application capabilities
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Led data preprocessing with pandas, analyzing a 1900+ police incidents dataset. Generated 42,000+ triples, showcasing advanced
Led data preprocessing with pandas, analyzing a 1900+ police incidents dataset. Generated 42,000+ triples, showcasing advanced
RDF data management. Developed an ontology-based system for optimized data organization and query efficiency
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<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
<a
href="https://play.unity.com/mg/other/manpac-build-webgl">PACMAN 3D</a>
href="https://play.unity.com/mg/other/manpac-build-webgl">PACMAN 3D <i> | Unity, C# </i></a>
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<div class="Job_Desc">
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<div class="Job"><span class="far fa-hand-point-right"></span>
Face Recognition and detection system
Face Recognition and detection system <i> | python </i>
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<div class="Job_Desc">
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Built an advanced face detection and recognition system using OpenCV library and SVM (Support Vector Machine) algorithm
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Extracted key facial features(eyes, nose, and mouth) utilizing a feature extraction algorithm and delivered a precision of 91% by
Extracted key facial features(eyes, nose, and mouth) utilizing a feature extraction algorithm and delivered a precision of 91% by
training an SVM classifier on extracted facial features to perform face recognition
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</ul>
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<br>
<div class="Job"><span class="far fa-hand-point-right"></span>
<a
href="https://thesai.org/Publications/ViewPaper?Volume=11&Issue=6&Code=IJACSA&SerialNo=84">Paracom</a>
href="https://thesai.org/Publications/ViewPaper?Volume=11&Issue=6&Code=IJACSA&SerialNo=84">Paracom <i> | Kotlin, Node-Red, Raspberry Pi, Arduino </i></a>
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Directed creation of an innovative and cost-effective IoT(Internet of Things) solution, resulting in a 30% increase in user-machine
Directed creation of an innovative and cost-effective IoT(Internet of Things) solution, resulting in a 30% increase in user-machine
interaction for individuals with limited mobility
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