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Saddam H.

@Saddam303

5.0
1
2.2
2.2
100%

Data Scientist | Python, R, SQL | BI |ML & AI

$20 USD / Hour
・
Flag of
Pakistan (6:02 PM)
・
Joined on November 17, 2015
$20 USD / Hour
・
As an Expert Data Analyst and Data Scientist, I leverage my proficiency in Python, R, SQL, and advanced tools like IBM Cognos Analytics, Microsoft Power BI, and Excel to transform raw data into actionable insights. My expertise spans Machine Learning and AI, where I create data-driven solutions that drive strategic decision-making. With a passion for harnessing the power of data, I specialize in crafting comprehensive business intelligence reports and compelling data visualizations. My goal is to empower organizations to make informed, data-driven decisions that lead to measurable success.
Verifications
On time
100%
On budget
100%
Accept rate
100%
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Portfolio

Portfolio

12086360
Description: Developed a Python-based application to extract contact information from Gmail emails and PDF attachments. The project uses the Gmail API to retrieve emails, process attachments, and extract useful contact details such as names, emails, and phone numbers. The extracted data is then saved into an Excel file for further analysis and use. 2. Key Features and Functionality Gmail API Integration: Authenticates and interacts with Gmail to fetch emails and attachments. PDF Extraction: Extracts and processes contact information from PDF attachments using pdfplumber. Email Body Parsing: Extracts contact information directly from email bodies. Data Cleaning: Removes duplicate entries to ensure unique contact information. Excel Export: Saves the extracted contact information into an Excel file for easy access and management. 3. Technologies Used Python: Core programming language used for scripting. Google API: For accessing Gmail and retrieving emails. pdfpl
Gmail Email Contact Extraction from attached files to Excel
12082205
I developed a Telegram bot to deliver daily news updates using the Telegram API and the Newsdata API. The bot fetches the latest news articles, summarizes them, and sends the top five news items to a specified chat. It responds to commands like /start to greet users and /news to provide on-demand news updates. Key Features: API Integration: Utilizes the Newsdata API to fetch the latest news and the Telegram API for message delivery. Automation: Uses the schedule library to send daily news updates at a specified time. Asynchronous Programming: Employs asyncio for efficient, non-blocking operations. Logging: Implements logging to monitor API responses and ensure reliable news delivery. Technologies Used: Programming Language: Python Libraries: requests for API calls, telegram for Telegram bot interaction, asyncio for asynchronous tasks, and schedule for task scheduling. Functionality: Fetch News: Retrieves news articles from the Newsdata API. Summarize News: Extracts and formats the top
Telegram News Bot Project
12067367
Developed a Telegram bot that offers versatile file processing capabilities. Users can interact with the bot to choose between three options: generating extracted text, creating a video with audio from text, or both. Key features include: Text Extraction: Supports PDF, TXT, and MD files to extract and display text. Video Creation: Converts extracted text into engaging videos with speech synthesis and visual effects. User Interaction: Utilizes inline buttons for user choices and handles file uploads seamlessly. Performance: Optimized with HTTPX for efficient performance and robust error handling. Technologies used include Python, Telegram API, MoviePy, PyMuPDF, PIL, and Google Text-to-Speech (gTTS). This project demonstrates advanced bot development and multimedia processing.
Telegram Bot for File Processing and Media Generation
12086360
Description: Developed a Python-based application to extract contact information from Gmail emails and PDF attachments. The project uses the Gmail API to retrieve emails, process attachments, and extract useful contact details such as names, emails, and phone numbers. The extracted data is then saved into an Excel file for further analysis and use. 2. Key Features and Functionality Gmail API Integration: Authenticates and interacts with Gmail to fetch emails and attachments. PDF Extraction: Extracts and processes contact information from PDF attachments using pdfplumber. Email Body Parsing: Extracts contact information directly from email bodies. Data Cleaning: Removes duplicate entries to ensure unique contact information. Excel Export: Saves the extracted contact information into an Excel file for easy access and management. 3. Technologies Used Python: Core programming language used for scripting. Google API: For accessing Gmail and retrieving emails. pdfpl
Gmail Email Contact Extraction from attached files to Excel
12082205
I developed a Telegram bot to deliver daily news updates using the Telegram API and the Newsdata API. The bot fetches the latest news articles, summarizes them, and sends the top five news items to a specified chat. It responds to commands like /start to greet users and /news to provide on-demand news updates. Key Features: API Integration: Utilizes the Newsdata API to fetch the latest news and the Telegram API for message delivery. Automation: Uses the schedule library to send daily news updates at a specified time. Asynchronous Programming: Employs asyncio for efficient, non-blocking operations. Logging: Implements logging to monitor API responses and ensure reliable news delivery. Technologies Used: Programming Language: Python Libraries: requests for API calls, telegram for Telegram bot interaction, asyncio for asynchronous tasks, and schedule for task scheduling. Functionality: Fetch News: Retrieves news articles from the Newsdata API. Summarize News: Extracts and formats the top
Telegram News Bot Project
12067367
Developed a Telegram bot that offers versatile file processing capabilities. Users can interact with the bot to choose between three options: generating extracted text, creating a video with audio from text, or both. Key features include: Text Extraction: Supports PDF, TXT, and MD files to extract and display text. Video Creation: Converts extracted text into engaging videos with speech synthesis and visual effects. User Interaction: Utilizes inline buttons for user choices and handles file uploads seamlessly. Performance: Optimized with HTTPX for efficient performance and robust error handling. Technologies used include Python, Telegram API, MoviePy, PyMuPDF, PIL, and Google Text-to-Speech (gTTS). This project demonstrates advanced bot development and multimedia processing.
Telegram Bot for File Processing and Media Generation
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5.0 · 1 Review
Reviews
D
English-Norwegian Audio Transcription & Mixing • $131.50 USD
Absolutely great work by Saddam H. Really everything I expected for the price we agreed, went smooth and fast. Highly recommended !
Diko X.
@Dikkkko
•
Flag of
Oslo, Norway
•
5 months ago
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Education
National University of Science and Technology
2017 - 2019
•
2 years
MS Computer Science
Flag of
Pakistan
2017 - 2019
•
2 years
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