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$35 USD / time

islamabad,

pakistan

$35 USD / time

Det er i øjeblikket 10:53 AM her

Tilmeldt september 2, 2021

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sherjeel93

@sherjeel93

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(0 anmeldelser)

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$35 USD / time

islamabad,

pakistan

$35 USD / time

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Data Scientist | Data Visualization Expert

I am a data enthusiast with over two years of experience in analyzing large datasets for different clients in the North American & UK region. Being passionate about data visualization and having expertise in diverse tools, I have mastered the art of storytelling and enabled my clients for data-driven decisions making. Proficient in the following tools & packages. Data Analysis • RStudio • Python • MySQL Data Visualization • Tableau • GGplot2 • Plotly • Matplotlib • Seaborn • Rshiny & Flexdashboard(for building dashboards) • Rmarkdown (for generating reports)

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Portfolio-mappe

Created interactive dashboard for Divvy bikes data by using detail enriched KPI charts & map visualizations to gather meaningful insights.

Divvy Top Station Activity Dashboard

Project description
1. Datasets
• Health Statistics Worldwide
• Stock Price & Foreign Exchange Rate
• Chicago Divvy

2. Data Analysis
• Imported and combined data using different types of joins, unions and relationships.
• Created bins, customized filters and interactions, and applied quick table calculations for advance
analysis.
• Performed time series analysis by configuring date and time fields.
• Applied dynamic sets and groups.

3. Dashboards
• Created interactive dashboards by using detail enriched KPI charts & map visualizations to gather meaningful insights.

Tableau Dashboards

• Anticipated hourly energy consumption of the residential system by using two machine learning techniques: Support Vector Regression (SVR) and Random Forest (RF).
• Optimized the hyperparameters by using the Grid Search Cross Validation method in python and achieved the test score of 90 %.

Time Series Forecasting of Residential Energy Consumption

Built dashboard for analyzing the migrant returnees due to Covid-19 in Pakistan.

Dashboard for analyzing Covid-19 Impact

Built R Shiny Dashboard for analyzing the content of parties’ electoral manifestos.

Building R Shiny Dashboard for Text Analysis

Divvy Top Station Activity Dashboard

Tableau Dashboards

Time Series Forecasting of Residential Energy Consumption

Dashboard for analyzing Covid-19 Impact

Building R Shiny Dashboard for Text Analysis

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Erfaring

Afiniti

okt. 2019 - nov. 2021 (2 år, 1 måned)

• Implemented models using Bayesian statistics in R and increased the revenue by 4%. • Improved data processes by analyzing large datasets of different clients in R, Python & SQL. • Built dashboards for daily production monitoring checks and developed efficient modeling strategies based on recent data trend.

Uddannelse

Master of Science in EE

Arizona State University,

United States

2017 - 2019

(2 år)

Kvalifikationer

DataCamp

2020

Learned the formatting language to reveal insights from data and author my findings as a PDF, HTML file, or Shiny app. Analyzed data with dplyr, created visualizations with ggplot2, and authored my analyses and plots as reports. Gained hands-on experience of building reports by working with real-world data from the International Finance Corporation (IFC).