Asser Elsheikh
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Phone: -
Email:-LinkedIn: www.linkedin.com/in/asser-elsheikh-
Portfolio: https://asserelsheikh.github.io/mywebsite/
I am Asser Elsheikh, a results-driven Data Analyst and AI Specialist with expertise in Python, SQL,
Tableau, and Excel. I specialize in transforming complex datasets into actionable insights through
predictive modeling, machine learning, and interactive dashboards, optimizing business performance.
My medical background enhances my analytical approach, enabling innovative problem-solving in
both healthcare and business domains. Passionate about data-driven decision-making, I thrive on
uncovering trends that drive growth and efficiency.
PROFESSIONAL EXPERIENCE
Data Analyst and Cashier at GREENFOODS, Ismailia, Egypt
07/2023 - Present
o Developed an interactive Point of Sale (POS) dashboard, enhancing operational decision-making
and improving inventory management efficiency by 30%.
o Optimized sales data analysis processes, reducing stock wastage by 15% within 3 months.
o Promoted to Data Analyst after demonstrating the value of data-driven strategies in improving
business performance.
Receptionist at Al-Ryada Lab, Ismailia, Egypt
07/2023 - 02/2024
o Updated and organized the patient records system, reducing data retrieval time by 40% and
improving customer experience.
o Consolidated lab test results into unified reports, increasing daily operational efficiency and
speeding up report preparation by 25%.
o Recommended data collection process improvements, saving 4 work hours weekly for the
team.
Data Analyst Intern at Quantium (Virtual Experience)
09/2024 - 10/2024
o Analyzed over 264,836 transactions using Python, delivering strategic recommendations that
increased operational efficiency by 20%.
o Created data visualizations using Pandas, Matplotlib, and Seaborn to highlight key trends and
support decision-making.
o Identified opportunities to improve marketing strategies through the analysis of purchasing
patterns.
EDUCATION
Bachelor’s degree in medicine (Expected 2030)
Suez Canal University, Ismailia, Egypt
High School Diploma (87.23%)
Assiut STEM School, Assiut, Egypt – 2023
SKILLS
o Data Analysis & Visualization: Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn),
Tableau, and Looker Studio.
o Database Management: Advanced skills in SQL, database design, and optimization.
o Machine Learning: Experience with model development, feature engineering, and evaluation
using Python (Scikit-learn).
o Statistical Analysis: Skilled in R for advanced analytics and statistical modeling.
o Business Intelligence: Creating dashboards and actionable insights to drive strategic decisions.
o Data Cleaning & Automation: Expertise in data preprocessing, handling missing data, and
process automation with Python and Excel.
o Technical Tools: Jupyter Notebook, Microsoft Excel (advanced), Google Sheets.
o Soft Skills: Problem-solving, analytical thinking, and stakeholder communication.
COURSES
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CS50P: Introduction to Programming with Python
Harvard University
(Completed 12/2024)
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CS50 SQL
Harvard University
(Completed 05/2024)
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Data Analysis with Python
FreeCodeCamp
(Completed 09/2022)
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Oracle Cloud Infrastructure 2024 Certified AI Foundations Associate
Oracle
(Completed 02/2025)
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Data Analytics Essentials
CISCO
(Completed 06/2024)
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Applied Data Science with Python
IBM
(Completed 07/2024)
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Data Analytics and Visualization
LinkedIn Learning
(Completed 08/2023)
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DATA ANALYSIS CHALLENGER TRACK
FWD Initiative
(Completed 07/2022)
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Prompt engineering
1 million prompter initiative
(Completed 01/2025)
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Google Data Analytics professional certificate
Coursera - Google
(Completed 03/2025)
PROJECTS
Sales Performance Dashboard | Looker
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Situation: The company needed insights into sales trends and customer behavior to optimize
sales strategies.
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Task: Develop an interactive dashboard to visualize 900 transactions and identify key trends.
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Action: Used Looker to create time series analyses and product category breakdowns,
providing stakeholders with actionable insights.
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Result: Improved decision-making processes and enhanced sales performance by aligning
strategies with data insights.
Machine Learning Model for Early Detection of Chronic Diseases | NHANES 2023
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Situation: Early detection of chronic diseases required a predictive model using real-world
health data.
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Task: Build a machine learning model using the NHANES 2023 dataset to predict risk factors.
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Action: Extracted and cleaned data from 50 .XPT files, engineered key features, and optimized
a Random Forest model for better accuracy.
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Result: The model effectively identified early risk factors, enabling proactive healthcare
interventions.
Sales Forecasting Tool | Streamlit
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Situation: Businesses needed a way to predict future sales trends for better resource planning.
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Task: Create a user-friendly forecasting tool with interactive inputs.
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Action: Developed a Streamlit-based tool integrating time series forecasting models, allowing
real-time sales predictions.
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Result: Enabled businesses to optimize sales strategies, reducing inventory costs and
improving revenue planning.
