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<h2 itemprop="name">Mohammed Ayub</h2>
<h3 class="d-inline-block" itemprop="jobTitle">Data Scientist II,</h3>
<h3 class="d-inline-block" itemprop="worksFor" itemscope itemtype="http://schema.org/Organization">
<a href="https://nfpa.org/" target="_blank" itemprop="url" rel="noopener">
<span itemprop="name">National Fire Protection Association (NFPA)</span>
</a>
</h3>
</div>
<link itemprop="url" href="">
<p>I am a computer science engineer specializing in predictive analytics applications.
Presently working in fire and life safety research to design and implement data science solutions, analytical processes and encourage data driven decisions within the organization.
Previously trained in business intelligence and data warehousing tools where I built data processing pipelines and KPI dashboards for big data and business teams in IT organizations.
Interests: Deep Learning, Natural Language Processing, Distributed Frameworks</p>
<a href="files/cv.pdf" class="btn btn-primary btn-lg"><i class="fas fa-download mr-2" aria-hidden="true"></i>Download Resume</a>
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<p class="course">Masters in Data Science, 2015</p>
<p class="institution">Worcester Polytechnic Institute (WPI)</p>
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<i class="fa-li fas fa-graduation-cap"></i>
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<p class="course">Bachelors in Computer Science, 2012</p>
<p class="institution">Nitte Meenakshi Institute of Technology (NMIT)</p>
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<h3>Interests</h3>
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<li>Machine Learning</li>
<li>Natural Language Processing</li>
<li>Big Data Frameworks</li>
</ul>
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<h1>Skills</h1>
<p>I am good in the following Technical Skills</p>
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<h3>Python</h3>
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<h3>AWS</h3>
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<h3>Docker</h3>
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<h3>Databases</h3>
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<h3>Deep Learning</h3>
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<h3>Visualization</h3>
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<h1>Experience</h1>
<p>PREVIOUS ASSOCIATIONS THAT HELPED TO GATHER EXPERIENCE</p>
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<div class="row experience">
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<span class="badge badge-pill border exp-fill"> </span>
</div>
<div class="row h-50">
<div class="col border-right"> </div>
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<div class="card">
<div class="card-body">
<h4 class="card-title exp-title text-muted mt-0 mb-1">Data Scientist II, Data Analytics, NFPA Global</h4>
<h4 class="card-title exp-company text-muted my-0"><a href="https://nfpa.org/News-and-Research/Data-research-and-tools/NFPA-Data-Lab" target="_blank" rel="noopener">National Fire Protection Association (NFPA)</a></h4>
<div class="text-muted exp-meta">
April 2019 –
Present
<span class="middot-divider"></span>
<span>Quincy, MA, USA</span>
</div>
<div class="card-text"><p><strong>Occupancy Crowd Counter (OCC)</strong> - Create <em>Object Detection</em> platform to estimate crowd sizes in various occupancy types and comply with NFPA 101 Life Safety Code. <br>
Techniques - <em>Convolution Neural Network (CNN) models</em>, <em>OpenCV</em>, <em>Pytorch</em>.</p>
<p><strong>Zabaan</strong> - Customizing a <em>Neural Machine Translation Tool</em> for fire and life safety language. It assists human translators with domain specific translations for English<->Spanish pair.
Techniques - <em>LSTM and Transformer models</em>, <em>TensorFlow Serving</em>, <em>Docker</em>.</p>
<p><strong>Location Tools</strong> - Developing a <em>distributed bulk geocoder</em> from scratch for spatial analytics. Evaluate for throughput and accuracy with other open-source and commecial alternatives like Pelias and Google. <br>
Techniques - <em>PostGIS</em>, <em>Spark</em>, <em>Lucence</em>, <em>CDH</em></p>
<p>*See project section for more details.</p>
</div>
</div>
</div>
</div>
</div>
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<div class="card">
<div class="card-body">
<h4 class="card-title exp-title text-muted mt-0 mb-1">Data Scientist, Research and Data Analytics</h4>
<h4 class="card-title exp-company text-muted my-0"><a href="https://nfpa.org" target="_blank" rel="noopener">National Fire Protection Association (NFPA)</a></h4>
<div class="text-muted exp-meta">
March 2016 –
April 2019
<span class="middot-divider"></span>
<span> Quincy, MA, USA</span>
</div>
<div class="card-text"><p><strong>Machine Learning</strong> - Develop ML products related to <em>Community Fire Risk and Reduction</em>, <em>Fire Department Similarity</em> and <em>Building Inspections</em> using logistic regression and clustering methods.</p>
<p><strong>Data Analysis/Visualization</strong> - Build fire incidents charts and reports for various <a href="https://www.usfa.fema.gov/data/nfirs/">NFIRS Fire incident</a> types using tools like <em>KNIME</em>, <em>Tableau</em> and <em>Carto.js</em>.</p>
<p><strong>Big Data</strong> - Install a ten node CDH cluster as sandbox for analytical processes on internal fire datasets. Architect a data warehouse solution for NFIRS to reduce query time from days to minutes.</p>
<p><strong>Leadership</strong> - Facilitate academic collaborations through <em>Graduate Qualifying Program (GQP)</em> and mentor junior members of the team with data science concepts.</p>
<p>*See Projects Section for more details.</p>
</div>
</div>
</div>
</div>
</div>
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<h4 class="card-title exp-title text-muted mt-0 mb-1">Data Scientist</h4>
<h4 class="card-title exp-company text-muted my-0"><a href="https://iomics.us/" target="_blank" rel="noopener">IOMICS Corporation</a></h4>
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September 2015 –
March 2016
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<span>Worcester, MA, USA</span>
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<div class="card-text"><p><strong>Overview</strong> - Create a web application to support chemists/biologists to analyze and cluster bio-assays stored in research repositories like <a href="https://pubchem.ncbi.nlm.nih.gov/">PubChem</a> and life science literature from <a href="https://pubmed.ncbi.nlm.nih.gov/">PubMed</a>. Thereby, helping in efficiently choosing targets for QSTR (quantitative structure–toxicity relationship) modeling.</p>
<p>Developed python backend to dynamically run topic modeling algorithms and find assays with related concepts. Visualized species-compound toxicity relationship using custom D3.js graphs.</p>
<p><strong>Techniques</strong> - <em>Text Preprocessing</em>, <em>n-gram and Word2Vec</em>, <em>LSI (Latent Semantic Indexing)</em>, <em>LDA (Latent Dirichlet Allocation)</em></p>
<p><strong>Tools</strong> - <em>Natural Language Tool Kit (NLTK)</em>, <em>Scikit-learn</em>, <em>Gensim</em>, <em>PyCharm</em>, <em>IBM Natural Language Understanding (NLU) Service</em>, <em>OntoText</em></p>
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<h4 class="card-title exp-title text-muted mt-0 mb-1">Analytics Engineering Intern</h4>
<h4 class="card-title exp-company text-muted my-0">EMC</h4>
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January 2015 –
August 2015
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<span>Hopkinton, MA, USA</span>
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<div class="card-text"><p><strong>Data Science</strong> -</p>
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<li>Research on how to use storage product data for analytical use cases like predicting issues within a specific product lifecycle.</li>
<li>Completed the <em>EMC Data Science Certification</em> from Learning and Develoepment team.</li>
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<p><strong>Data Analysis</strong> -</p>
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<li>As part of engineering team for mid-range storage products, developed data processing pipelines into the production warehouse.</li>
<li>Help optimize query execution plans to reduce runtime for efficiency.</li>
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<p><strong>Data Visualization</strong> -</p>
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<li>Develop operational dashboards for code development and deployement teams to track severity of issues.</li>
<li>Setup alerts and emails from Tableau server to management.</li>
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<p><strong>Tools Used:</strong> <em>SQL Server</em>, <em>Microsoft SSIS</em>, <em>Tableau</em>, <em>Alteryx</em></p>
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<h4 class="card-title exp-title text-muted mt-0 mb-1">Technical Analysis Senior Associate</h4>
<h4 class="card-title exp-company text-muted my-0"><a href="https://www.delltechnologies.com/en-in/index.htm" target="_blank" rel="noopener">Dell Inc.</a></h4>
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July 2012 –
December 2013
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<span>Bangalore, India</span>
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<div class="card-text"><p><strong>DW/BI</strong> - Six month training program on Business Intelligence and Data warehousing technologies.</p>
<p><strong>Dev Ops</strong> - As part of Quality Enablement team, refactored and migrated SQL queries (Postgres) from dev teams to production as part of updates to operational dashboards for Americas/Asia-Pacific region.</p>
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<li>Facilitate code deployment to sandbox environments for research projects.</li>
<li>Support large data movements across development/testing/production environments using Teradata parallel load utility.</li>
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<p><strong>Technologies</strong> - <em>Informatica PowerCenter</em>, <em>IBM InfoSphere DataStage</em>, <em>IBM Cognos</em>, <em>SAP Crystal Reports</em></p>
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