Data-driven professional with a Master?s degree in Data Science and over 5 years of experience in data engineering and analytics.
Aktualisiert am 11.07.2024
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 11.07.2024
Verfügbar zu: 100%
davon vor Ort: 100%
Python
Machine Learning
SQL
ETL
Apache Spark
IBM InfoSphere DataStage
Informatica PowerCenter
Data Analyst
Data Scientist
English
Full professional proficiency
German
Elementary proficiency

Einsatzorte

Einsatzorte

Dortmund (+50km)
Deutschland
möglich

Projekte

Projekte

1 Jahr 10 Monate
2022-01 - 2023-10

Data Management Framework

Junior Research Fellow
Junior Research Fellow
  • Data Management Framework
    • Developed an end-to-end data management framework for ocean observational data, ensuring efficient handling and analysis of large datasets.
  • Performance 
    • Optimization Researched methods to optimize the performance of Python?s pandas dataframe for processing large volumes of data without runtime or memory constraints.
  • Machine Learning Solutions 
    • Designed algorithms for lossless data compression using autoencoders and Gaussian mixture models, addressing the challenges of storing large volumes of data efficiently.
  • Database Design 
    • Implemented an inverted metadata indexed database using PostgreSQL, enabling efficient retrieval of sonar data for analysis and research purposes.
  • Data Analysis and Visualization 
    • ?Created data visualization dashboards for ocean observational data using PyQt, Plotly Express, and Matplotlib, facilitating insights for analysis and decision-making.
Indian Institute of Technology
Palakkad, India
5 Jahre 7 Monate
2016-06 - 2021-12

Business Intelligence Solutions

Data Analyst
Data Analyst
  • Business Intelligence Solutions 
    • Delivered viable solutions for complex business problems by utilizing data analysis and modeling techniques, ensuring alignment with client objectives and requirements.
  • Data Sourcing and Integration 
    • Resolved challenging data harmonization problems by implementing optimal ETL workflows, frameworks, and query techniques, sourcing data from structured and unstructured sources.
  • Data Analysis and Insights 
    • Conducted in-depth data analysis to extract valuable insights and trends from complex datasets, providing actionable recommendations to stakeholders for informed decision-making.
  • Data Visualization 
    • Developed dashboards and reports to visualize key performance indicators(KPIs) and monitor business performance across multiple dimensions, automating monthly report generation for financial metrics and customer call volumes.
  • AI & ML models 
    • Developed user requirement based data science and AI solutions, from proof-of-concept to operational machine learning models, addressing diverse business challenges.
  • ETL Development 
    • Designed algorithms and implemented ETL pipelines for various client applications including Debt Collection, Campaign Management, and Vendor Commission Calculations, contributing to enhanced operational efficiency and decision-making.
  • Client Engagement 
    • Collaborated closely with clients to understand their business requirements and data needs, providing expert guidance and support in leveraging data-driven insights to drive business growth and innovation.
  • Process Improvement 
    • Identified opportunities for process optimization and automation within data management and analysis workflows, leading initiatives to streamline processes, enhance efficiency, and reduce operational costs. Implemented Agile methodologies to iteratively improve processes based on stakeholder feedback and changing business requirements.
  • Cross-functional Collaboration 
    • Worked collaboratively with cross-functional teams, including data engineers, business analysts, and IT professionals, to deliver integrated solutions that meet business objectives and regulatory requirements.
  • Continuous Learning 
    • Demonstrated a commitment to continuous learning and professional development by staying updated on emerging trends, technologies, and best practices in data analysis and business intelligence.
Telstra Australia, Vodafone New Zealand

Aus- und Weiterbildung

Aus- und Weiterbildung

2 Jahre 4 Monate
2022-01 - 2024-04

Data Science

M.S, Indian Institute of Technology, Palakkad, India
M.S
Indian Institute of Technology, Palakkad, India
  • Machine Learning
  • Deep Learning
  • Big Data
  • Computer Vision
  • Thesis on request
4 Jahre
2012-06 - 2016-05

Tech Information Technology

Bachelor, Government Engineering College Palakkad, India
Bachelor
Government Engineering College Palakkad, India

Position

Position


Kompetenzen

Kompetenzen

Top-Skills

Python Machine Learning SQL ETL Apache Spark IBM InfoSphere DataStage Informatica PowerCenter Data Analyst Data Scientist

Produkte / Standards / Erfahrungen / Methoden

Profile

Data-driven professional with a Master?s degree in Data Science and over 5 years of experience in data engineering and analytics. Proficient in exploring, visualizing, and analyzing both structured and unstructured data using statistical analysis, data science, machine learning, and optimization methods. Seeking a challenging data scientist role where I can leverage my analytical skills and industry experience to drive actionable insights and solutions, contributing to organizational success and growth


Skills

ETL Tools:

  • IBM DataStage
  • Wherescape Red
  • Informatica Power center


Data Management:

  • Database Design
  • ETL & Data Warehousing
  • Data Quality Assessment
  • Data Analysis
  • Visualization of Data Insights


Machine Learning:

  • Feature engineering
  • Transfer Learning
  • Supervised and Unsupervised Learning
  • Deep Learning and Neural Networks
  • Computer Vision
  • Pytorch
  • Tensorflow
  • keras
  • Scikit-learn


Other Tools:

  • Anaconda
  • vscode
  • MS Office
  • Putty
  • BMCRemedy
  • Control M
  • Git
  • Jira
  • Latex

Programmiersprachen

Python
PyQt
SQL
Scala
Unix
shell scripting

Datenbanken

PostgreSQL
Teradata
Oracle
MySQL
MongoDB

Einsatzorte

Einsatzorte

Dortmund (+50km)
Deutschland
möglich

Projekte

Projekte

1 Jahr 10 Monate
2022-01 - 2023-10

Data Management Framework

Junior Research Fellow
Junior Research Fellow
  • Data Management Framework
    • Developed an end-to-end data management framework for ocean observational data, ensuring efficient handling and analysis of large datasets.
  • Performance 
    • Optimization Researched methods to optimize the performance of Python?s pandas dataframe for processing large volumes of data without runtime or memory constraints.
  • Machine Learning Solutions 
    • Designed algorithms for lossless data compression using autoencoders and Gaussian mixture models, addressing the challenges of storing large volumes of data efficiently.
  • Database Design 
    • Implemented an inverted metadata indexed database using PostgreSQL, enabling efficient retrieval of sonar data for analysis and research purposes.
  • Data Analysis and Visualization 
    • ?Created data visualization dashboards for ocean observational data using PyQt, Plotly Express, and Matplotlib, facilitating insights for analysis and decision-making.
Indian Institute of Technology
Palakkad, India
5 Jahre 7 Monate
2016-06 - 2021-12

Business Intelligence Solutions

Data Analyst
Data Analyst
  • Business Intelligence Solutions 
    • Delivered viable solutions for complex business problems by utilizing data analysis and modeling techniques, ensuring alignment with client objectives and requirements.
  • Data Sourcing and Integration 
    • Resolved challenging data harmonization problems by implementing optimal ETL workflows, frameworks, and query techniques, sourcing data from structured and unstructured sources.
  • Data Analysis and Insights 
    • Conducted in-depth data analysis to extract valuable insights and trends from complex datasets, providing actionable recommendations to stakeholders for informed decision-making.
  • Data Visualization 
    • Developed dashboards and reports to visualize key performance indicators(KPIs) and monitor business performance across multiple dimensions, automating monthly report generation for financial metrics and customer call volumes.
  • AI & ML models 
    • Developed user requirement based data science and AI solutions, from proof-of-concept to operational machine learning models, addressing diverse business challenges.
  • ETL Development 
    • Designed algorithms and implemented ETL pipelines for various client applications including Debt Collection, Campaign Management, and Vendor Commission Calculations, contributing to enhanced operational efficiency and decision-making.
  • Client Engagement 
    • Collaborated closely with clients to understand their business requirements and data needs, providing expert guidance and support in leveraging data-driven insights to drive business growth and innovation.
  • Process Improvement 
    • Identified opportunities for process optimization and automation within data management and analysis workflows, leading initiatives to streamline processes, enhance efficiency, and reduce operational costs. Implemented Agile methodologies to iteratively improve processes based on stakeholder feedback and changing business requirements.
  • Cross-functional Collaboration 
    • Worked collaboratively with cross-functional teams, including data engineers, business analysts, and IT professionals, to deliver integrated solutions that meet business objectives and regulatory requirements.
  • Continuous Learning 
    • Demonstrated a commitment to continuous learning and professional development by staying updated on emerging trends, technologies, and best practices in data analysis and business intelligence.
Telstra Australia, Vodafone New Zealand

Aus- und Weiterbildung

Aus- und Weiterbildung

2 Jahre 4 Monate
2022-01 - 2024-04

Data Science

M.S, Indian Institute of Technology, Palakkad, India
M.S
Indian Institute of Technology, Palakkad, India
  • Machine Learning
  • Deep Learning
  • Big Data
  • Computer Vision
  • Thesis on request
4 Jahre
2012-06 - 2016-05

Tech Information Technology

Bachelor, Government Engineering College Palakkad, India
Bachelor
Government Engineering College Palakkad, India

Position

Position


Kompetenzen

Kompetenzen

Top-Skills

Python Machine Learning SQL ETL Apache Spark IBM InfoSphere DataStage Informatica PowerCenter Data Analyst Data Scientist

Produkte / Standards / Erfahrungen / Methoden

Profile

Data-driven professional with a Master?s degree in Data Science and over 5 years of experience in data engineering and analytics. Proficient in exploring, visualizing, and analyzing both structured and unstructured data using statistical analysis, data science, machine learning, and optimization methods. Seeking a challenging data scientist role where I can leverage my analytical skills and industry experience to drive actionable insights and solutions, contributing to organizational success and growth


Skills

ETL Tools:

  • IBM DataStage
  • Wherescape Red
  • Informatica Power center


Data Management:

  • Database Design
  • ETL & Data Warehousing
  • Data Quality Assessment
  • Data Analysis
  • Visualization of Data Insights


Machine Learning:

  • Feature engineering
  • Transfer Learning
  • Supervised and Unsupervised Learning
  • Deep Learning and Neural Networks
  • Computer Vision
  • Pytorch
  • Tensorflow
  • keras
  • Scikit-learn


Other Tools:

  • Anaconda
  • vscode
  • MS Office
  • Putty
  • BMCRemedy
  • Control M
  • Git
  • Jira
  • Latex

Programmiersprachen

Python
PyQt
SQL
Scala
Unix
shell scripting

Datenbanken

PostgreSQL
Teradata
Oracle
MySQL
MongoDB

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