Hello!

I'm Rameen Shahid



A Senior Data Analyst with two years of experience in field of data analysis

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Name: Rameen Shahid

Job Role: Senior Data Analyst

Experience: 2 Years 3 Months

Address: Peshawar, Pakistan

Skills

SQL 95%
PYTHON 85%
Data Visualization 90%
Statistical Analysis 65%
Machine Learning 80%

About

About Me

I'm Rameen Shahid, a data enthusiast with two years of experience in data science. With over 2 years of comprehensive experience in the field of data science & analytics, accompanied by a bachelor's degree in Mathematics. Proficient in data analysis, statistical analysis, hypothesis testing, customer behaviour analysis, & machine learning. Demonstrated success in leading impactful projects and providing effective mentorship. I specialize in using SQL, MySQL, Tableau, Power BI, and Grafana to uncover insights and create captivating visualizations. Let's transform data into meaningful, useful stories that inspire and innovate together!

  • Profile: Data Science & Analytics
  • Domain: Retail, Ecommerce, BFSI & Digital Marketing
  • Education: Bachelor of Mathematics
  • Language: English, Hindi
  • BI Tools: Microsoft Power BI, Looker & Tableau
  • Other Skills: Cloud, Excel, Git, JIRA, Google Analytics & SEO
  • Interest: Traveling, Travel Photography, Teaching

0 +   Projects completed

LinkedIn

Resume

Resume

As a dedicated Data Analyst with two year 2 of professional experience in data analysis, I excel in leveraging statistical techniques and advanced tools to extract valuable insights from complex datasets. I am passionate about translating data into actionable strategies that drive business growth and innovation. Seeking opportunities to apply my analytical skills and contribute to impactful projects within a dynamic and forward-thinking organization

Experience


2021-Present

Data Analyst | Business Analyst

Fiverr | Upwork

Fiverr's platform connects freelancers to people or businesses looking to hire, encouraging a wide range of services in a free market.

  • Successfully executed over 20 complex data analysis projects, leveraging SQL, MySQL, and Excel for precise data manipulation and reporting.
  • Developed sophisticated dashboards and visualizations using Tableau, Power BI, and Grafana, transforming raw data into strategic insights for clients.
  • Conducted advanced statistical analysis to identify trends, patterns, and correlations, providing clients with deep analytical insights.
  • Performed extensive data cleaning, transformation, and quality assurance, ensuring the reliability and integrity of data for informed decision-making.

2024

Assistant Lecturer

UET Peshawar

University of Engineering and Technology, Peshawar

  • Taught Data Visualization at UET Peshawar, utilizing advanced software such as Tableau, Power BI, and Python's Matplotlib to transform raw data into insightful visual representations.
  • Developed and delivered engaging lectures on various visualization tools and techniques, focusing on practical applications and industry standards.
  • Designed and conducted practical lab sessions to reinforce theoretical concepts, enabling students to gain hands-on experience with data visualization software.
  • Mentored students on projects, guiding them in applying visualization methods to real-world datasets and ensuring proficiency in using visualization software effectively.



Education


2019-2023

Bachelor of Mathematics

Shaheed Benazir Bhutto University For Women Peshawar

Grade: First class distinction.

2017-2019

Higher Secondary School

Govt Frontier College For Women Peshawar, Pakistan

Grade: First class distinction.

Download CV

Projects

Projects

Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.

Publisher-Class-Analysis-with-R

This dashboard provides key insights into publisher performance by visualizing total revenue, price, copies sold, and average playtime across publisher classes. This flexdashboard provides a comprehensive overview of publisher performance across several key metrics including revenue, price, copies sold, and average playtime. The dashboard is organized into three main columns, each providing insight into different aspects of the dataset.

DRC EVALUATION OF CHOLERA CASES WHO AFRICA

The data showcases weekly cholera cases and deaths, with predicted values indicating high accuracy in most instances, though Week 42 stands out with notably lower accuracy. Predicted deaths also exhibit variance, notably in Weeks 41 and 44. This underscores the necessity for ongoing model refinement and proactive health interventions to effectively address cholera outbreaks.

WCOMP ACCIDENTS ANALYSIS REPORT 2023

Based on the WCOMP data visualization report, the analysis shows that DC had the highest number of accidents with 32 incidents, followed by MD with 25 accidents, and VA with 8 accidents. This summary highlights the distribution of accidents across these three states, emphasizing the need for further investigation or safety measures in these areas


Apple-Stock-Price-Prediction-with-XGBOOST

This analysis involves preparing and scaling data, engineering features like moving averages and returns, and using a machine learning model to predict future prices. It includes evaluating model performance with metrics like MSE and R², and predicting future values based on estimated feature inputs.

Credit-Card-customers-Cohort-Data-Analysis

This analysis identifies critical factors influencing customer attrition, providing actionable insights for improving customer retention strategies. The RandomForestClassifier effectively predicts churn, and visualizations help clarify data trends and relationships, emphasizing the importance of comprehensive data analysis.

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More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Peshawar, Pakistan

Contact Number

+ (92) 3059549001

Email Address

rameenshahid60@gmail.com

Download Resume

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