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Wahab Haseeb Bhatti

is out learning. 🎓

Angestellt, Working Student International Business Development & Analytics, idealo internet GmbH
Magdeburg, Deutschland

Fähigkeiten und Kenntnisse

Python
SQL
MySQL
Oracle
Data Analysis
Git
GitLab
Linux
Microsoft Excel
Tableau
Microsoft Power BI
Microsoft Office 365
Google Cloud Platform
Django Framework
Data Management
Sales Operations
Organizational and Communication skills
team oriented
Problem Solving
Team work
Analytical skills
Public speaking
n8n
HubSpot
LinkedIn Sales Navigator
Management
Market Research
Lead Generation
Market Analysis
Customer Review Analysis

Werdegang

Berufserfahrung von Wahab Haseeb Bhatti

  • Bis heute 11 Monate, seit Juni 2024

    Working Student International Business Development & Analytics

    idealo internet GmbH
  • 5 Monate, Jan. 2024 - Mai 2024

    Sales Management Outreach

    QuantPi GmbH

    • Crafted personalized messages and strategic fit slide decks for outreach to leads from potential customer companies using LinkedIn Sales Navigator. • Managed lead data extraction and organization on HubSpot, optimizing lead management processes for efficiency.

  • 7 Monate, Juni 2023 - Dez. 2023

    Working Student

    QuantPi GmbH

    • Identified and compiled a list of 15,000+ potential customer companies, enhancing lead generation efforts. • Conducted market research and analyses on identified companies to evaluate potential as a customer, resulting in tailored strategic pitch decks sent to targeted leads. • Supported product development by conducting customer review analyses for new features and FAQs extraction.

  • 3 Monate, Sep. 2022 - Nov. 2022

    Student Assistant for Software Development in Computational Hydrogeology

    Helmholtz Zentrum für Umweltforschung UFZ

    • Developed and implemented a visualization module for a Python package using Numpy, Pandas, and Matplotlib. • Streamlined the development process through Continuous Integration with GitLab, ensuring efficient and collaborative code management. • Skills: Data Visualization · Gitlab · Python (Programming Language)

  • 1 Jahr und 2 Monate, Aug. 2020 - Sep. 2021

    Senior officer IT DevOps

    Zong CMPak

    • Led IT operations for a revenue-generating system, ensuring seamless sales operations. • Managed multiple servers and databases, ensuring optimal uptime and performance to maintain smooth operations and data integrity. • Analyzed Sales and HR data using Excel and SQL to provide valuable insights for decision-making. • Skills: SQL · Problem Solving · Data Management · Data Analysis · MySQL · DevOps · Microsoft Excel · Oracle Database · SQLyog · Internet Information Services (IIS)

  • 7 Monate, Jan. 2020 - Juli 2020

    Senior officer IT Software Engineering

    Zong CMPak

    • Built web portals to automate the organization's internal workflows. Responsible for backend development and maintenance. • Mainly worked with ASP.NET MVC on the backend for web portals and REST APIs. • Collaborated with stakeholders and users to convert their requirements into a fully functional web portal. • Created and maintained databases in MySQL and Oracle. • Tools used: Visual Studio, SQLyog, PL/SQL developer, TortoiseSVN, Postman.

  • 3 Monate, Juli 2019 - Sep. 2019

    Software Engineering Intern

    ZONG CMPak

    • Worked on a Zong internal portal including the automatic email generation module. • Integrated three databases (Impala, Sybase, Hive) and developed a console application to generate SMS. • Skills: SQL · MySQL · Bootstrap · PhpMyAdmin · Visual Basic .NET (VB.NET)

Ausbildung von Wahab Haseeb Bhatti

  • Bis heute 3 Jahre und 7 Monate, seit Okt. 2021

    Data & Knowledge Engineering

    Otto von Guericke Universitat, Magdeburg

  • 4 Jahre und 1 Monat, Feb. 2016 - Feb. 2020

    Computer Science

    Army Public College of Management & Sciences (Affiliated with UET Taxila)

    Grade: 3.25/4.00 • Final Year Project was Cardiovascular disease detection using ECG signals. • ANN was used to detect abnormalities in the ECG signals and to classify them into three classes ( Normal, Atrial Fibrillation, and Ventricular Fibrillation). • Up to 99% accuracy was achieved. • Anaconda, python, Keras, Numpy, Pandas. • Developed a Rasa-stack-based chatbot dedicated to voice-based speech therapy. • Tools used: Anaconda, Python, Rasa stack, MySQL.

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  • Deutsch

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