Developed an AI-powered web application to analyze Noqta Plus podcast YouTube videos, generating metrics such as word statistics, sentiment analysis (polarity and subjectivity), views, likes, and more.Conducted comprehensive audits for over 10 clients, covering both their websites and social media presence.Collected and analyzed diverse digital datasets, including service pricing and others, using Python web scraping techniques.Automated data extraction from the Asana platform using… Show more Developed an AI-powered web application to analyze Noqta Plus podcast YouTube videos, generating metrics such as word statistics, sentiment analysis (polarity and subjectivity), views, likes, and more.Conducted comprehensive audits for over 10 clients, covering both their websites and social media presence.Collected and analyzed diverse digital datasets, including service pricing and others, using Python web scraping techniques.Automated data extraction from the Asana platform using Selenium with Python, organized and presented insights in Google Sheets.Integrated Facebook, Instagram, Messenger, and Facebook Ads APIs into customized report templates for client delivery. Show less

Led 4 market research initiatives, collating and analyzing monthly data on food industry market trends; delivering actionable insights that increased company's awareness of threats and opportunities by 20%.Reduced the time taken to extract, analyze, and report on global commodities data related to the Group companies by 90% by using a commodity API with R shiny, supporting the company’s activities.Collected data on consumers, market, and competitors using an online survey linked… Show more Led 4 market research initiatives, collating and analyzing monthly data on food industry market trends; delivering actionable insights that increased company's awareness of threats and opportunities by 20%.Reduced the time taken to extract, analyze, and report on global commodities data related to the Group companies by 90% by using a commodity API with R shiny, supporting the company’s activities.Collected data on consumers, market, and competitors using an online survey linked with R Shiny and ggplot in the form of a dashboard, saving 80% of time.Established a mobile app displaying all commodities prices and economic news moment by moment, which saved the effort of manual work and cut off the number of employees by half.Interviewed +12 commercial and official clients, including corporate and government bodies. Show less

Taught 8 courses to undergraduate students, such as regression, time series and forecasting and programming, and graduated about 1000 students.Appointed a member of the Academic Reform Committee and reviewed 13 curriculums, teaching hours and academic aspects, which led to improving the college’s performance by 45%.Made 4 online learning to 215 students, which resulted significantly decreased costs and provided teaching material more effectively.Supervised 63… Show more Taught 8 courses to undergraduate students, such as regression, time series and forecasting and programming, and graduated about 1000 students.Appointed a member of the Academic Reform Committee and reviewed 13 curriculums, teaching hours and academic aspects, which led to improving the college’s performance by 45%.Made 4 online learning to 215 students, which resulted significantly decreased costs and provided teaching material more effectively.Supervised 63 undergraduate students in statistics and machine learning such as Random Forests, ROC Analysis, K-Nearest Neighbor, CART etc., which were 15 projects. Show less

Contributed with researchers to the publication of 10+ scientific papers in medicine, engineering, and other fields.Allocated administrative tasks and distributed them among 8 employees in an effective manner to increase unit’s productivity.800+ trainees were trained within the unit to meet market requirements such as market studies, qualitative and numerical analyses, Python and R with machine learning.

Engineered a dynamic performance dashboard using R shiny-ggplot2 and SQL server, displaying key financial, asset, and HR metrics; optimized data collection process, saving 90% of manual effort and enhancing decision-making capabilities.Produced accurate monthly, quarterly and annual KPIs for various fixed-income, sales and asset-allocation portfolios of 5 companies.Applied statistical model to predict risks, which increased companies’ awareness and avoided 60% of risks.

Collected market data from 9 websites simultaneously using Excel-VBA and python, and displayed it in the form of organized tables and graphs in less than a minute instead of spending two hours manually.Invented my own tool to analyze and produce complete reports of job satisfaction data for more than 45 companies in a few seconds with 99% accuracy.Created special mobile app to collect employee data using Android Studio, which saved the cost of distributing printed questionnaires… Show more Collected market data from 9 websites simultaneously using Excel-VBA and python, and displayed it in the form of organized tables and graphs in less than a minute instead of spending two hours manually.Invented my own tool to analyze and produce complete reports of job satisfaction data for more than 45 companies in a few seconds with 99% accuracy.Created special mobile app to collect employee data using Android Studio, which saved the cost of distributing printed questionnaires worth $1,000 per month.Participated in 3 advertising campaigns annually and analyzed customers’ feedback using online survey, which led to an increase in the profitability by 25%. Show less

Conducted over 50 analytical studies in a short time using R, Python and Excel programs, assisting companies in making 60% of their decisions based on these studies.Set the ceiling on employee mobile phone bills using SAP Xcelius software, which contributed to making the suitable decision for the organization and relying on it 100%.6 internal training courses were provided to 100+ employees to raise efficiency and increase productivity.

Estimated 63 students progress from different cultures background and nationalities, and prepared feedback to improve exam results.Supervised 6 scientific journals with students and practical application of the theoretical aspects of them.Summarized lectures in a simplified and understandable way to increase students’ understanding by a notable percentage.

Assisted in planning and development of teaching materials of statistics and computer courses, notebooks and class projects.Introduced the R language for the first time in the college as an approved curriculum.Prepared 5 labs for 150 desktops in total, and provided programming and statistics programs in the labs.