Lamarana Diallo

I'm

About

As a passionate Data Scientist, I leverage advanced analytics and machine learning to extract valuable insights from complex datasets. My goal is to drive data-informed decision-making and solve real-world problems.

Data Scientist & Machine Learning Engineer

Transforming data into actionable insights and building intelligent systems to drive business value.

  • Phone: +33 7 55 30 36 29
  • City: Paris, France
  • Degree: Master's in Data Science
  • Email: mrdiallo77@gmail.com
  • Freelance: Available

With a strong background in statistics, programming, and machine learning, I specialize in developing data-driven solutions that address complex business challenges. My expertise includes predictive modeling, natural language processing, and big data analytics. I'm passionate about staying at the forefront of AI and data science innovations to deliver cutting-edge solutions.

Skills

As a Data Scientist and Developer, I have cultivated a diverse set of skills that allow me to tackle complex data challenges and develop robust software solutions. Here's an overview of my technical proficiencies:

Python 95%
R 85%
SQL 97%
C++ 80%
Machine Learning (Scikit-learn, TensorFlow, PyTorch) 90%
Data Visualization (Metabase, Power BI, Tableau) 90%
Web Development (Flask, Django, REST APIs) 90%
Big Data & Cloud (Spark, Hadoop, Kafka, Azure, AWS) 87%

Additional Skills

  • Version Control & CI/CD: Git, Docker, Jenkins
  • Database Management: SQL Server, PostgreSQL, MySQL
  • UI Development: Qt
  • Project Management: Agile, Scrum, V-Model

Languages

  • French: Native
  • English: Professional

Portfolio

Here are some of the key projects I've worked on, showcasing my skills in data science, machine learning, and software development.

  • All
  • Data Science
  • Machine Learning
  • Development

Resume

As a passionate and results-driven Data Scientist with a strong background in machine learning, statistical analysis, and data engineering, I have contributed to various projects across different industries. Below is a summary of my professional journey and key achievements.

Summary

Lamarana Diallo

Experienced Data Scientist with expertise in developing and implementing data-driven solutions across various industries. Skilled in Python, R, and SQL, with a proven track record of translating complex data into actionable insights.

  • Paris, France
  • 07 55 30 36 29
  • mrdiallo77@gmail.com

Education

Master's in Stochastic Methods and Computer Science for Decision Making

2023

University of PAU (UPPA)

Data Analyst Certification

2022

OpenClassrooms

Master's in Statistics and Business Intelligence

2019

Alioune DIOP University of Bambey

Bachelor's in Statistics and Business Intelligence

2017

Alioune DIOP University of Bambey

Professional Experience

Data Scientist

February 2023 - July 2024

Observatoire Midi-Pyrénées

  • Developed predictive models for karst hydrology using machine learning techniques
  • Processed and integrated complex hydrological data from multiple sources, creating a unified database for analysis
  • Collaborated with researchers to interpret results and present findings to stakeholders

Data Analyst / BI Specialist

December 2020 - May 2022

PrintOclock

  • Conducted statistical analysis and customer segmentation, increasing the effectiveness of targeted marketing
  • Created interactive dashboards using Metabase, providing real-time insights into sales performance and customer behavior
  • Implementation of A/B testing methodologies, which improved conversion rates

Data Scientist

March 2020 - September 2020

University of PAU

  • Developed R packages for fish capture modeling, enhancing research capabilities in marine biology
  • Performed exploratory data analysis and advanced modeling on ecological datasets
  • Presented findings at departmental seminars, receiving commendation for innovative approach

Data Scientist - Survival Analysis

September 2018 - March 2019

H.A.L.D. Dakar, Sénégal

  • Conducted comprehensive survival analysis on customer churn data, identifying key factors influencing customer retention
  • Developed and implemented Cox Proportional Hazards models, improving prediction accuracy of customer lifetime value
  • Created interactive visualizations of survival curves using R and Shiny, enabling stakeholders to easily interpret complex survival data

Services

As a Data Scientist and Developer, I offer a range of services that leverage my expertise in data analysis, machine learning, and software development. Here are the key areas where I can add value to your projects:

Data Analysis & Visualization

Transforming raw data into actionable insights through statistical analysis and creating compelling visualizations using tools like Python, R, and Tableau.

Machine Learning Solutions

Developing and implementing machine learning models for various applications, including predictive modeling, classification, and clustering using libraries like Scikit-learn, TensorFlow, and PyTorch.

Predictive Analytics

Building predictive models to forecast trends, behaviors, and outcomes, helping businesses make data-driven decisions and strategies.

Big Data Processing

Handling and analyzing large-scale datasets using technologies like Spark and Hadoop, extracting valuable insights from complex and voluminous data.

Software Development

Creating custom software solutions, web applications, and APIs using Python, Flask, and C++, with a focus on data-driven applications and user interfaces.

Data Science Consulting

Providing expert advice on data strategy, project planning, and implementation of data science solutions to help businesses leverage their data assets effectively.

Contact

If you're interested in collaborating on a project, have any questions about my services, or would like to discuss potential opportunities, please don't hesitate to get in touch. I'm always open to new challenges and exciting data science projects.

Location:

Paris, France

Call:

+33 7 55 30 36 29

Loading
Your message has been sent. Thank you!