04/08/2025 updated

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Experienced Data Scientist and Software Engineer with Teaching Background

Porto, Portugal
Only remote
Engineering degree in Telecommunications
Porto, Portugal
Only remote
Engineering degree in Telecommunications

Profile attachments

cv_Malkiya_en.pdf

Java (Programming Language)Amazon Web ServicesData AnalysisTeachingBig DataC Sharp (Programming Language)Cloud ComputingComputer ProgrammingDatabasesContinuous IntegrationD3.JsWeb ScrapingData VisualizationApache HadoopPython (Programming Language)Machine LearningMongoDBMySQLNatural Language ProcessingOracle ApplicationsPredictive MaintenanceSentiment AnalysisSoftware EngineeringData Storage TechnologiesData ScienceApache SparkDeep LearningVue.jsGitSoftware Version ControlDockerJenkins
Data Science and Machine Learning
Extensive experience in data science, machine learning, and deep learning techniques. Proficient in developing ML models for various applications including predictive maintenance and data analysis.

Software Engineering and Programming
Strong programming skills in multiple languages including Python, Java, and C#. Experienced in developing data storage pipelines, web scraping scripts, and data visualization applications.

Data Visualization and Analysis
Expertise in data visualization techniques and tools such as D3.js, Leaflet, and Vue.js. Skilled in data analysis using various statistical and machine learning methods.

Big Data Technologies
Proficiency in big data technologies including Hadoop, Spark, and various database systems such as MySQL, Oracle, and MongoDB.

Natural Language Processing
Experience in NLP techniques and applications, including sentiment analysis and topic extraction.

Cloud Computing
Familiarity with cloud platforms such as AWS for deploying and scaling data science solutions.

Software Development Tools
Proficient in using version control systems, CI/CD tools, and development environments such as Git, Jenkins, and Docker.
 

Experience

Professional experience10+ years
Freelancer since2020

Languages

EnglishFluentFrenchFluentItalianNative speakerPortugueseBasic knowledgeSpanishBasic knowledge

Project history

Data Science Tutor

University of London

Other

Tutor for the MSc in Data Science.

Intervention, as a Teacher and TA, on several iterations of a Data Science bootcamp:
  • Provided online support to students of several Data Science MSc program modules, such as Big Data Analysis, Statistics and Statistical Data Mining, and Artificial Intelligence.
  • Participated in webinars to answer questions from students of the Data Science MSc program.
  • Graded the students' coursework and exams on the Data Science MSc modules.
Tools: Python, SQL, Pandas, Scikit-learn, TensorFlow, Docker, GCP
Algos: K-means, Reinforcement learning, Genetic Algorithms, Bayesian networks
Sector: Education

Data Science Teacher

LeWagon

Other

DataScience Bootcamp Teacher

Intervention, as a Teacher and TA, on several iterations of a Data Science bootcamp:
  • Lectures and exercises work on all the topics of the bootcamp
  • Supervision of groups during project weeks (Timeseries, Image Recognition,Recommendations..)
  • Trained more than 400 students, and mentored more than 50 final projects.

Tools: Python, SQL, Pandas, Scikit-learn, TensorFlow, Docker, GCP
Algos: Linear Models, Random Forests, K-means, PCA, Neural Networks, RNN, CNN
Sector: Education

Senior Data Scientist

Capgemini

Internet & IT

Development of a GenAI enterprise solution

Development of a GenAI app to check document compliance with company guidelines:
  •  Development of a Python app using agents and an RAG approach.
  • A/B testing to optimize prompts.
Tools: Python, LangChain, LangGraph, GCP, RAG, AI Agents
Sector: Consulting

Data Scientist

Pfizer

Pharmaceuticals & Medical Technology

Development of Predictive Maintenance Models

Development of a model to predict the risk of failure in industrial processes:
  • Processing of time series from several sensors, and feature engineering
  • Training of RNN prediction models

Tools: Python, Pandas, Scikit-learn, TensorFlow, AWS, Snowflake
Algos: RNN
Sector: Pharma

Senior Data Scientist

Lystos

Other

Development of a house pricing model.

Development of a model to predict house prices for a real estate company:
  • Aggregation of data from different sources
  • Training and evaluation of several price prediction models
Tools: Python, Pandas, Scikit-learn, SQL
Algos: KNN
Sector: Real Estate

Senior Data Scientist

DataFolio

Insurance

Development of a context based road risk model.

Development of a model to predict the risk of road accidents according to geographical and temporal parameters:
  • Aggregation of accident data with meteorological and road traffic data,
  • Development of Bayesian risk models
Tools: Dataiku, Python, Pandas, Scikit-learn, SQL, MongoDB,, AWS
Algos: Naive Bayes
Sector: Insurance

Senior Data Specialist

Roland Berger

Other

- Development of data analysis routines (Jupyter, Python, Scikit-learn, Keras):
  •  Machine Learning (Explanation, Prediction, Clustering);
  •  Natural Language Processing (Sentiments, and Topics extraction);
  •  Geographical data analysis.
- Development of data visualization applications (JavaScript, Leaflet, Vue.js).
- Development of web scraping scripts (Python).
- Data training sessions for consultants (Dataiku, scraping, SQL)

Tools: Python, scikit-learn, Dataiku, Keras, scikit-learn, Javascript, nltk, gensim
Algos: PCA, K-means, Neural Networks, Random Forest, Gradient Boosting, Linear Models, PCA, NMF, Word2Vec, TFIDF
Sector: Retail, Real Estate,  Energy, Insurance, Pharma

Data Scientist

VeInteractive

Marketing, PR and design

Creation of advertising campaigns with ML

Creation of user segments for prospection campaigns, based on user on-line behavior:
  • Development of data storage pipelines
  • Development of user classification routines
  • Development of a data collection web API
Tools: Java, Spark, Hbase, Jupyter, Python, C#
Algos: Naive Bayes
Sector: Advertising

Software Engineer

Mediamobile

Transport & Logistics

Development of data quality tools

Development and maintenance of tools to monitor the quality of the traffic information data produced by the content team:
  • Implementation of quality metrics
  • Design of visual interfaces for quality metrics
  • Evaluation of alternative data storage solutions
Tools: C#, JavaScript, D3.js, Cassandra
Sector: Transportation

Software Engineer

Institut d'Astrophysique de Paris

Telecommunications

​​​​​​​Engineer for the Science Ground Segment (SGS) System Team, of the Euclid Project

Design of the infrastructure to store and process the data collected by a scientific satellite:
  • Development of tools to visualize the Data Model
  • Development of a ‘testbed’ to assess the performance of Berkley DB, and comparison with
    other storage solutions
Tools: XSD, Python, D3.js, C, Berkley DB, Oracle, HBase.
Sector: Aerospace

Software Engineer

Sisteer

Telecommunications

Software Engineer for a MVNO aggregation platform

Design of the infrastructure to store and process the data collected by a scientific satellite:
  •  Maintenance of the “BUS”, a Java middleware responsible for provisioning within the MVNO
    aggregation platform of Sisteer.
  • Development, testing, and integration of new components, based on different protocols and
    technologies .
Tools: Java, HTTP, FTP, XML, Webservices, SQL, Swing.
Sector: Telecommunications

R&D Engineer

Université Pierre et Marie Curie

Government and Public Services

Research Engineer for the Machine Learning Department

Design and development of innovative applications:
  • Design of a search engine using Latent Semantic Analysis (LSA).
  • Design of algorithms to perform clustering on a large dataset (1 year) of bank frauds 
Tools: Java, Matlab.
Algos: Latent Semantic Analysis, K-Means, Hierarchical Clustering
Sector: Research

Integration Engineer

Wyde Inc

Insurance

Integration Engineer for an Insurance software vendor

Deployment and maintenance of Winsure software solution:
  • Integration and delivery of new Wynsure versions;
  • Maintenance of the “mapping” between Wynsure and the Oracle DB. .
Tools: Wynsure, Oracle DB, Shell.
Sector: Insurance

Research engineer

ENSTA ParisTech

Telecommunications

Research Engineer for a RF communication Lab

Statistical analysis and modeling of the channel for BAN networks:
  • Measurement of the transmission coefficients of the channel with a VNA.
  • Statistical modeling of the channel’s time response, as a function of different parameters
    (antenna type, antenna position, etc.).
Tools: Matlab.
Sector: Research

R&D Intern

GE Healthcare

Pharmaceuticals & Medical Technology

Research Intern for a Medical Imaging lab

Enhancement of fluoroscopic images in angioplasty procedures:
  • Design of algorithms for the extraction of blood vessels from high contrast fluoroscopic images.
  • Design of algorithms performing registration of fluoroscopic images having dierent contrast
    levels.

Tools: C.
Sector: Medical

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