Hafiz Naeem
Data Analyst BI Developer
Experienced data analyst with expertise in
cleaning and harmonizing datasets to extract key
insights. Proficient in crafting predictive machine learning models, resolving inconsistencies, and
optimizing dataset integration for enhanced
accuracy.
ad2d45@r.postjobfree.com
Munich, Germany
30 March, 1996
linkedin.com/in/hafiz-naeem
WORK EXPERIENCE
Data Scientist Intern
Fraunhofer IOSB
08/2023 - 10/2023, Ilmenau,Germany
Conducted literature research.
Applied diverse clustering methods to European energy data in Python.
Evaluated results using binary classification scores. Data Analyst
Infineon Technologies AG
11/2022 - 04/2023, Munich,Germany
Maintenance work on existing implementation in Python. Conversion of a data structure into database tables of a SQL database with preparation for a DevOps use under python. Evaluation of a Hadoop/Parquet based technology stack for possible future use in an own data warehouse solution. Prototyping of an Elastic Search based technology stack with integration into an existing CI/CD pipeline.
Data Analyst
Robert Bosch GmbH
04/2022 - 09/2022, Dresden,Germany
Configuration of software solutions for the collection of target key figures and configuration data in the Data Warehouse. Collaboration in database design for target key figures and configuration data.
Acquisition of knowledge in data warehousing in a
semiconductor production.
creating reports with Tableau.
EDUCATION
Bachelors in computer science
Comsats Lahore
02/2016 - 01/2020,
Masters in Research in Computer and System
Engineering
TU Ilmenau
10/2021 - 02/2024,
SKILLS
Python Tableau MS SQL Keras
Machine Learning Deep Learning JIRA
MS Office Power BI SKlearn
Tensorflow Pandas Numpy Matplotlib
SAP Qilk My SQL ETL
Data Visualization Google Data Studio
Statistical Analysis MS Excel
Statistical visualization IBM Planning Analystics
PERSONAL PROJECTS
Memory Overflow Solution
Developed a solution to transfer pipeline data to a database or hard drive when main memory capacity is reached, ensuring continuity as volatile memory.
Senatorial COVID Communication Analysis
Led the analysis of U.S. senators' tweets during COVID-19 using the Twitter API and Python. Evaluated communication strategies, public responses, and identified benefits. Demonstrated proficiency in data extraction, cleaning, and analysis for impactful insights.
Data Preparation, Analysis, and ML Modeling for
Tool Energy Consumption Prediction
Expertly cleaned and harmonized datasets, creating a predictive machine learning model for tool energy
consumption by resolving inconsistencies and logical errors, and optimizing dataset integration for enhanced accuracy. CERTIFICATES
Data Analytics Essentials (IBM)
Visualization with Tableau (UCDAVIS)
Power BI Desktop (Coursera)
Python Programming (University of Michigan)
LANGUAGES
English
Native or Bilingual Proficiency
German
Limited Working Proficiency
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