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Saad Khalid Email & Phone Number

Data Visualization Engineer at Acumen, LLC
Location: Washington, District Of Columbia, United States 9 work roles 4 schools
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Current company
Role
Data Visualization Engineer
Location
Washington, District Of Columbia, United States
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Who is Saad Khalid? Overview

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Quick answer

Saad Khalid is listed as Data Visualization Engineer at Acumen, LLC, a company with 440 employees, based in Washington, District Of Columbia, United States. AeroLeads shows a matched LinkedIn profile for Saad Khalid.

Saad Khalid previously worked as Policy Lead - Data Visualization at Acumen, Llc and Co-founder/ DataVis Engineer at Plotree. Saad Khalid holds Master’S Degree, Public Administration from Columbia University - School Of International And Public Affairs.

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Acumen, LLC

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Profile bio

About Saad Khalid

A Data Analytics professional with a keen interest in Visual Communication Design. Over 5 years of experience of working with web and data analysis technologies to tell compelling stories with data

Listed skills include Management, Policy Analysis, Program Evaluation, Economic Development, and 9 others.

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Acumen, LLC
Acumen, Llc
Data Visualization Engineer
burlingame, california, united states
Website
Employees
440
AeroLeads page
9 roles

Saad Khalid work experience

A career timeline built from the work history available for this profile.

Policy Lead - Data Visualization

Current

Washington DC-Baltimore Area

Dec 2022 - Present

Co-Founder/ Datavis Engineer

Lahore, Pakistan

  • Plotree Info Design is a Data Visualization Firm that uses modern web technologies to craft interactive data driven visual stories for clientsFeatured Clients/ Projects:
  • Lahore University of Management Sciences: Led the design of interactive websites on various themes of Lahore’s socio-cultural history in collaboration with Dr. Ali Usman Qasmi, a professor of South Asian History
  • Center for Asian Philanthropy and Society, Hong Kong: Designed data visualization showcasing the data collected through the center’s flagship study, Doing good index. The doing good index is a quantitative assessment.
  • Impetus Advisory Group (IAG): Led the development of a series of data driven visual stories on food supply chain and Global Food Safety Regulation for IAG’s clients including UNIDO (United Nations Industrial.
  • British Council: Designed online interactive GIS maps to showcase creative hubs for art and artisans in 12 cities across Pakistan.
  • UN Population Fund: Led the design of interactive visualizations presenting key results from Economic and Social Wellbeing of Women Survey 2018 which covered approximately 30,000 households across Punjab. The.
Jan 2018 - Dec 2022

Principal Analyst, Punjab Health Survey Round Ii

Lahore, Pakistan

  • Punjab Health Survey (PHS) Round II was conducted under the supervision of Punjab Bureau of Statistics to evaluate province level indicators on reproductive and early childhood health. Data collection, analysis and.
  • Developed dashboards to enable real time data analysis during the listing and data collection phases
  • Managed a team of six field monitors who used the dashboards to monitor summaries of incoming data, major indicator values, progress at the cluster and enumerator level and to identify inconsistencies within the data
  • Wrote code in R to clean and reformat the incoming data as per the requirements of Punjab Bureau of Statistics (in.sav SPSS format), thus enabling analysts at the Bureau to conduct parallel analysis in SPSS
  • Developed, integrated and presented the final results (used d3js to develop data visualizations for the report)
  • Authored and compiled the final report for the survey
Jul 2017 - Feb 2018

Graduate Consultant

Greater New York City Area

  • Open Development Mekong(ODM) is a partnership of open data platforms across the Mekong region including in Cambodia (Open Development Cambodia, ODC) and Myanmar (Open Development Myanmar, ODmm).
  • Developed a strategy for Open Development Myanmar (ODmm) and Open Development Cambodia (ODC) to play an effective role in aggregating and presenting data related to United Nations SDGs (Sustainable Development Goals)
  • Conducted baseline studies on the localization process of the SDGs in Myanmar and Cambodia. Created web content to be published on the ODM, ODmm and ODC websites (articles summarizing the localization process and data.
Dec 2016 - May 2017

Course Development Intern

Greater New York City Area

  • Designed and prototyped educational web applications for Quantitative analysis I and Quantitative analysis III students to aid understanding of statistical concepts (using R shiny framework).
  • Gathered feedback from former students of the courses to improve the design of the applications. A few example applications:
Jul 2016 - May 2017

Teaching Assistant (Microeconomic Analysis For International And Public Affairs)

Greater New York City Area

Summary of Student Evaluation: Summary statistics of the responses to 'The Teaching Assistant contributed significantly to the course' (On the scale of 1 to 5: from strongly disagree to strongly agree)Median 5 Interpolated Median 4.72Mean 4.36 Std Dev 1.11

Sep 2016 - Jan 2017

Manager, Monitoring And Evaluation, Social Innovation Lab

Lahore, Pakistan

  • A social enterprise incubator and a research center at LUMS
  • Designed and implemented an evaluation framework for assessing over-time progress of SIL team and “Hatchery’s” (SIL’s early stage social enterprise incubator) participants in the development of their business models.
  • Trained and mentored over 50 competitively selected students on Customer Development Process and Business Model Development.
  • Developed the incubation curriculum for ‘Business Model Development’ and ‘Evaluating Social Impact’ modules
Jun 2014 - Jul 2015

Teaching Fellow (Grade 6Th, 7Th And 8Th Science)

Karachi, Pakistan

  • Achieved gains in students' mastery of science concepts through simple, easily implemented experiments. Improved average student scores by 34% and 41 % in 7th and 8th respectively by the end of 2012-13 academic year.
  • Designed ‘Real world learning’ models that helped channel students interest in cricket and traditional food to gain mastery over math concepts of averages, ratios and percentages.
  • Analyzed and summarized performance data of over 5500 students for the ‘Training and Support’ and ‘Monitoring and Evaluation’ departments by using the R programming language.
Jul 2012 - May 2014

Radio Frequency Intern

Lahore, Pakistan

Designed a simulation on MATLAB to optimize three dimensions of patch antennas through a novel approach of genetic algorithms.

Jun 2011 - Aug 2011
Team & coworkers

Colleagues at Acumen, LLC

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4 education records

Saad Khalid education

Nanodegree, Machine Learning Engineer

Nanodegree, Data Analysis

FAQ

Frequently asked questions about Saad Khalid

Quick answers generated from the profile data available on this page.

What company does Saad Khalid work for?

Saad Khalid works for Acumen, LLC.

What is Saad Khalid's role at Acumen, LLC?

Saad Khalid is listed as Data Visualization Engineer at Acumen, LLC.

Where is Saad Khalid based?

Saad Khalid is based in Washington, District Of Columbia, United States while working with Acumen, LLC.

What companies has Saad Khalid worked for?

Saad Khalid has worked for Acumen, Llc, Plotree, Gat Consulting, East-West Management Institute, and Columbia University - School Of International And Public Affairs.

Who are Saad Khalid's colleagues at Acumen, LLC?

Saad Khalid's colleagues at Acumen, LLC include Victoria (Vickie) Ta, Chenlu Xu, Rebecca Gurera, Brienna Phillips, Pmp, and Leonardo Shu.

How can I contact Saad Khalid?

You can use AeroLeads to view verified contact signals for Saad Khalid at Acumen, LLC, including work email, phone, and LinkedIn data when available.

What schools did Saad Khalid attend?

Saad Khalid holds Master’S Degree, Public Administration from Columbia University - School Of International And Public Affairs.

What skills is Saad Khalid known for?

Saad Khalid is listed with skills including Management, Policy Analysis, Program Evaluation, Economic Development, R, Stata, Quasi Experimental Methods, and Machine Learning.

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