Curriculum Vitae Data Scientist in Senegal Dakar – Free Word Template Download with AI

Name: Aminata Sow
Email: [email protected]
Phone: +221 77 000 0000
Location: Dakar, Senegal

I am a passionate and skilled Data Scientist with a deep understanding of leveraging data to drive impactful solutions in Senegal Dakar. My expertise lies in transforming complex datasets into actionable insights that support decision-making across industries such as agriculture, public health, and urban development. I am committed to contributing my technical knowledge and cultural awareness to the growing tech ecosystem in Dakar.

A dedicated Data Scientist with 5 years of experience in data analysis, machine learning, and predictive modeling. Proficient in Python, R, SQL, and advanced analytics tools. A graduate of the University of Cheikh Anta Diop (UCAD) in Dakar with a Master’s degree in Computer Science. My work focuses on solving real-world problems through data-driven strategies tailored to the unique challenges of Senegal Dakar. I am fluent in French, English, and Wolof, enabling me to collaborate effectively with local stakeholders.

• Data Analysis: Python (Pandas, NumPy), R, SQL
• Machine Learning: Scikit-learn, TensorFlow, Keras
• Data Visualization: Tableau, Power BI, Matplotlib/Seaborn
• Big Data Tools: Apache Spark, Hadoop
• Coding Languages: Python, R, SQL, JavaScript
• Data Cleaning & Processing: ETL pipelines, data wrangling
• Databases: MySQL, PostgreSQL, MongoDB
• Cloud Platforms: AWS (S3, EC2), Google Cloud Platform

Data Scientist | TechNova Solutions (Dakar)

January 2019 – Present

• Developed predictive models to optimize agricultural yields for Senegalese farmers using satellite data and historical weather patterns.
• Collaborated with local NGOs in Dakar to analyze public health data, identifying trends in malaria prevalence and proposing targeted interventions.
• Created dashboards for municipal authorities in Dakar to monitor urban traffic congestion and improve city planning strategies.
• Trained a team of junior analysts on Python-based data analysis techniques, fostering a culture of innovation within the organization.

Data Analyst Intern | AgriTech Senegal (Dakar)

June 2017 – December 2018

• Processed and analyzed crop yield data from over 500 farms in Dakar, identifying key factors influencing productivity.
• Developed a web-based tool using Flask to visualize regional agricultural statistics, improving decision-making for local stakeholders.
• Contributed to the implementation of a data collection system for rural areas, ensuring accurate and timely reporting.

Master’s Degree in Computer Science | University of Cheikh Anta Diop (UCAD), Dakar

Graduated: 2017

• Thesis: "Machine Learning Applications in Agricultural Risk Assessment for Senegal."
• Courses: Data Mining, Artificial Intelligence, Database Systems.

Bachelor’s Degree in Mathematics | University of Dakar

Graduated: 2014

• Coursera: "Data Science Specialization" by Johns Hopkins University (2018)
• Google Cloud: "Professional Data Engineer Certification" (2021)
• DataCamp: "Python for Data Science" and "Machine Learning with Python" (2019)
• Local Training: "Big Data Analytics in Senegal," organized by the Dakar Tech Hub (2020)

• "Smart Dakar Traffic Analysis": Developed a machine learning model to predict traffic hotspots, reducing congestion by 15% in pilot areas.
• "Health Analytics for Rural Senegal": Analyzed health records from 20 clinics in Dakar, leading to a 20% improvement in disease outbreak response times.
• Open-Source Contribution: Collaborated on a GitHub project to create an open dataset of urban infrastructure in Dakar, used by local startups for innovation.
• Award: "Young Data Scientist of the Year" by the Senegalese Association of Technology (2021).

• French (Native)
• English (Fluent)
• Wolof (Basic)

Professional Affiliations:

• Société Informatique de France (SIF) – Member
• African Data Science Association (ADSA)

Community Engagement:

• Volunteered as a mentor for the "Women in Tech" initiative in Dakar, empowering female students to pursue careers in data science.
• Organized a workshop on "Data Science for Sustainable Development" at the Senegal Innovation Week (2022).

References: Available upon request.

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