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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta content="width=device-width, initial-scale=1.0" name="viewport">
<title>Haris Mushtaq</title>
<meta content="" name="description">
<meta content="" name="keywords">
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<!-- Template Main CSS File -->
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<!-- =======================================================
* Template Name: DevFolio - v2.4.1
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</head>
<body id="page-top">
<!-- ======= Header/ Navbar ======= -->
<nav class="navbar navbar-b navbar-trans navbar-expand-md fixed-top" id="mainNav">
<div class="container">
<a class="navbar-brand js-scroll" href="#page-top">Haris</a>
<button class="navbar-toggler collapsed" type="button" data-toggle="collapse" data-target="#navbarDefault" aria-controls="navbarDefault" aria-expanded="false" aria-label="Toggle navigation">
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<a class="nav-link js-scroll" href="#about">About</a>
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<a class="nav-link js-scroll" href="#service">Services</a>
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<a class="nav-link js-scroll" href="#work">Portfolio</a>
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<a class="nav-link js-scroll" href="#contact">Contact</a>
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<!--<p class="display-6 color-d">Hello, world!</p>-->
<h1 class="intro-title mb-4">Haris Mushtaq</h1>
<p class="intro-subtitle"><span >Research and Data Analyst- Water and Energy Sector</span></p>
<!-- <p class="pt-3"><a class="btn btn-primary btn js-scroll px-4" href="#about" role="button">Learn More</a></p> -->
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<img style="width:100%" src="assets/img/work-1.jpg" class="img-fluid" alt="">
</div>
</div>
<div class="portfolio-description">
<h2>Pakistan Energy Dashboard</h2>
<hr class="divider my-4" />
<p> <a href="https://share.streamlit.io/haris021/energy_dashboard/main/Pak_Energy_dash.py" target="_blank" class="text-primary"><b> Pak_Energy_dash </b></a> This is an interactive dashboard that allows users to understand and visualize the energy mix of Pakistan over the last 3 decades to capture the change over time. The users can interact with the map and see the progression and change in the installed and generation capacity to grasp the policy decisions made by successive governments.
National electric power regulatory authority (NEPRA), Sate of industry reports, National transmission, and Despatch company (NTDC) data and Pakistan Energy year Book and International Energy agency data were consulted and prepared for the visualization development
<br />
<div class="btn-group" role="group" aria-label="Basic example">
<a role="button" class="btn btn-primary btn-sm" target="_blank" href="https://share.streamlit.io/haris021/energy_dashboard/main/Pak_Energy_dash.py" >Live App</a>
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<hr class="divider my-4" />
<div class="portfolio-description">
<h2>Streamflow Prediction</h2>
<p> <b> Streamflow Prediction: </b> I am currently testing different supervised machine learning algorithms for modeling streamflow in Upper Indus catchments in Pakistan. Observed streamflows from four sub-catchments are being used in training and testing, whereas input features include gridded Precipitation, temperature Potential evapotranspiration and snow water equivalent. Comparison algorithms include XGBoost, Random Forests and LSTM networks. This streamflow prediction product has multiple use-cases including early flood & drought warning, water resource assessment in ungaged streams and time-series imputations at gaged locations.
<br />
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<a role="button" class="btn btn-primary btn-sm" target="_blank" href="https://share.streamlit.io/haris021/streamflow_prediction/main/MLstreamlit.py" >Prototype Production DataViz</a>
</div>
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<hr class="divider my-4" />
<p> <a href="https://hess.copernicus.org/preprints/hess-2020-297/" target="_blank" class="text-primary"><b> Drought Early Warning: </b></a> This work, done in collaboration with the University of Guelph, Canada, devised a statistical framework for early prediction and monitoring of droughts within Pakistan. Using cross-correlations between standardized statistical indices of hydrologic and meteorologic patterns, numerous insights were derived for early warning against droughts in rivers within Pakistan.
<br />
<div class="btn-group" role="group" aria-label="Basic example">
<a role="button" class="btn btn-primary btn-sm" target="_blank" href="https://hess.copernicus.org/preprints/hess-2020-297/" >Publication</a>
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<!-- ======= About Section ======= -->
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<h2 class="text-white mt-0">MORE ABOUT ME</h2>
<hr class="divider divider-light" />
<p class="text-white mt-0">I have over 5 years of professional experience in research work on water resources and management, and field work focused on renewable energy sector particularly solar energy systems and its use in water resources.
<br>
<br>
Current and prior affiliations include Global Change Impact Studies Centre(Water Resources Section), Leadership for Environment Develoment(LEAD) Pakistan, Oregon State University, USA</p>
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Services
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<h2 class="s-title">Data Science</h2>
<p class="s-description text-center">
I am adept at creating data pipelines and dashboards for decision support in water and climate applications.
</p>
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<div class="col-md-4">
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<h2 class="s-title">Research</h2>
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I have strong research background in Water and Energy Sector, and also provide research and data-driven solutions for water resources management.
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<h2 class="s-title">Geo-Spatial Analysis</h2>
<p class="s-description text-center">
I create sophisticated analytics by leveraging geo-spatiotemporal data (e.g., climate data, earth data, water data etc)
</p>
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<span class="ico-circle"><i class="fas fa-pen"></i></span>
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<h2 class="s-title">The ThirdPole</h2>
<p class="s-description text-center">
Writes regularly for <a href="https://www.thethirdpole.net/en/author/haris-mushtaq/" target="_blank" class="text-primary"><b> The ThirdPole </b></a>in domain of Water and Energy sector of Pakistan
</p>
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</section><!-- End Services Section -->
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<h2 class="w-title">Dashboards</h2>
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<span class="w-ctegory">DataViz for Water and Energy Management</span>
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<div class="w-like">
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<h2 class="w-title">Machine Learning</h2>
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<span class="w-ctegory">Production Systems for Spatio-Temporal Forecasting</span>
</div>
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<div class="col-sm-4">
<div class="w-like">
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<h2 class="w-title">Statistical Analysis</h2>
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<span class="w-ctegory">Modeling and Analysis of Extreme Events and Environmental Time-Series</span>
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<div class="w-like">
</span> </button>
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Get in Touch
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I am interested in new and exciting work opportunities. Lets connect via twitter or linkedin!
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