freiberufler Data Scientist auf freelance.de

Data Scientist

zuletzt online vor 5 Tagen
  • auf Anfrage
  • 51371 Leverkusen
  • DACH-Region
  • hi  |  en
  • 04.03.2024

Kurzvorstellung

Data Scientist: I craft and optimize impactful ML models using Python. I excel in all ML stages, from data acquisition to visualization, fostering data-driven decisions.

Qualifikationen

  • Apache Spark
  • bigdata
  • Data Mining
  • Data Science
  • Docker
  • Git
  • Maschinelles Lernen
  • Microsoft Azure
  • Predictive analytics
  • Python

Projekt‐ & Berufserfahrung

Freelance Data Scientist
apheris ai GmbH, Berlin
12/2019 – offen (4 Jahre, 4 Monate)
IT & Entwicklung
Tätigkeitszeitraum

12/2019 – offen

Tätigkeitsbeschreibung

WorkingonPrivacy-preservingFederatedMachineLearningondistributeddata.Thearchitectureshallbeacombinationofmachine learning(ML)approachesaswellascryptographicandprivacytechniques. Tech: DifferentialPrivacy,HomomorphicEncryption,SMPC,ML,Python, Pytorch,PySyft,PyGrid

Eingesetzte Qualifikationen

Maschinelles Lernen, PyTorch, Python, Kryptologie

Data Analytics Working Student
Mazda Motors Europe, Leverkusen
8/2019 – 10/2019 (3 Monate)
Automobilindustrie
Tätigkeitszeitraum

8/2019 – 10/2019

Tätigkeitsbeschreibung

1. I should Support the Sales Operations team to solve their business problems by using Machine learning techniques and Python.
2. Analyze data systems and data sets to discover new insights.
3. Derive knowledge from data by applying expertise from statistics and pattern recognition in support of business goals.
4. Support in-depth qualitative data analysis (e.g. Data mining, pattern recognition, machine learning, and intelligent algorithms) from multiple sources.
5. Query databases and perform statistical data analysis. and collect, integrate and interpret the data on big data technologies.

Eingesetzte Qualifikationen

Data Science, Big Data, Data Mining, Microsoft Power BI, Predictive analytics, Textklassifikation, Python

Data Science and AI Intern
CamelotITLab GmbH, Mannheim
4/2019 – 7/2019 (4 Monate)
Consulting
Tätigkeitszeitraum

4/2019 – 7/2019

Tätigkeitsbeschreibung

My tasks were in the domain of supply chain management, by applying data Science practices with the goal to increase efficiency:
1.Performing of Statistical analysis, insights finding and reporting on supply chain shipping data with Pyhton
2.Development of time series forecasting methods and evaluation of result
3.Project support to finding a carrier method to minimize transportation costs by the promised
I always acquired good technical skills within a short time. Düring the internship, I participated in the corporate training initiatives with constantly good results. I always worked in a highly proactive manner and completely identified with his tasks and our Company at all times.

Eingesetzte Qualifikationen

Supply-Chain-Management (SCM), Data Science, Statistik (allg.), Microsoft Power BI, Lineare Regression, Python

Artificial Intelligence Intern
Joomo GmbH, Hannover
10/2018 – 1/2019 (4 Monate)
Dienstleistungsbranche
Tätigkeitszeitraum

10/2018 – 1/2019

Tätigkeitsbeschreibung

My main task is to idJenkinsthe problem early once we got outcomes from Jenkins. Then try to predict the root causes for that problem The main idea of this project is to perform preprocessing data the train the log files and predict the root causes for this build failure. And based on previous build failure results this model should capable enough to p redict future failure. direct?y report to the emploThe systematict he/she can save some time instead of wasting time for analyzing the bugs.
Problem Statement:
1.Which error cause CI Build Failure
2.Which Factor influence outcomes
3. Can we predict build failures?
Two techniques:
1 The systematic study of build failures( Based on Tags)
2 Factor Influencing build failures(Based on Topology Mapping(File types, DT, Author, Build Type)
Used: Python, RNN-LSTM-Encoder, SVM, Naive Bayes

Eingesetzte Qualifikationen

Data Science, Deeplearning4j, Naive Bayes, Rekurrentes Neuronales Netzwerk (RNN), Support Vector Machine (SVM), Python

Zertifikate

Tableau
2019
GCP Essential
2018

Ausbildung

Masters in Data Analytics
MSc
2020
Hildesheim, Germany
Bachelor of Engineering in Computer Science
Malnad College of Engineering, Hassan
2013
Hassan, India

Über mich

○ Leverage expertise in both structured and unstructured data to design and implement robust machine learning pipelines, automating data acquisition, preprocessing, feature engineering, and model training for high-performing machine learning models.
○ Develop interactive data visualizations with tools like Tableau, effectively communicating complex insights related to machine learning model results to facilitate data-driven decision-making

Weitere Kenntnisse

Programming: Python (Numpy, Pandas), SQL, Git, Machine Learning (scikit-learn, TensorFlow/PyTorch) •
Data Analysis: Statistics & Probability, EDA, Hypothesis Testing, Transformation Models, Data Harmonisation, Data Quality •
Data Warehousing & Visualization: Azure SQL Database, DynamoDB, ETL (Extract, Transform, Load), Tableau •
Data Processing & Transformation: Azure Functions, Spark, CI/CD (Jenkins) •
Data Ingestion & Storage: Kafka, Kinesis Firehose, Event Hubs, Azure Blob Storage, ADLS •
Cloud Computing Expertise: AWS Glue, Azure (ADF, Databricks), AWS, Docker, Flask, Apache Airflow

Persönliche Daten

Sprache
  • Hindi (Muttersprache)
  • Englisch (Fließend)
Reisebereitschaft
DACH-Region
Arbeitserlaubnis
  • Europäische Union
Profilaufrufe
2605
Alter
33
Berufserfahrung
5 Jahre und 5 Monate (seit 10/2018)
Projektleitung
1 Jahr

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