Stratford, London
07763227242
ishackm@gmail.com
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Ishack Mougamadou

Data Analyst

2 Years Experience

Portfolio

MY WORK

About me

PROFESSIONAL PATH

I am a Data Analyst with 3 years of experience. During my Master’s, I will further develop my skills including computer programming, complex data analysis, statistics and computational biology. These skills along with the ones already gained through education, work experience and self-development mean I will be fully adept at practical applications and programming requirements and have the advanced analytical and problem-solving skills to manage project complexities.

Throughout my career, I have been in customer focussed environments and have gained highly effective teamwork and communication skills. I am extremely motivated, and my strong work ethic means I am methodical and analytical in my approach, and I ensure accuracy while delivering exceptional results. I am exceedingly adaptable and can quickly adjust to different environments and new challenges.

HTML5 & CSS3
R
Flask
Python
Javascript
SQL

Work Experience

PREVIOUS POSITONS

Data Analyst

Neta Analytics
September 2019 - PRESENT

Lead the technical development of different tools and platforms to assist major shareholders to make informed decisions. Conveyed technical terminologies to non-technical audiences.

  • Worked with the management, external experts and team members based in the UK and India for effective implementation of the company objectives
  • Discovered patterns and trends through data analyses of spatial data (Python/R and SQL)
  • Lead the technical development of applications and tools to achieve company’s objectives

Data Science Analytics Intern

Arraygen
August 2018 - August 2019

Worked as a Data Analyst Intern for a service provider with expertise in Genomics algorithm development, next-generation sequencing, microarray and Bioinformatics services.

  • Used R and Python for creating analytical reports to extract more profound insights from both qualitative and quantitative data
  • Implemented machine learning algorithms, such as Decision Trees and Linear Regressions and feature engineering (in R and Python) to gain further analytical insight
  • Conducted data retrieval requirements; carrying out complex statistical analysis using R to understand the statistical significance of datasets with different characteristics

Education

ACADEMIC CAREER

Msc in Bioinformatics

Queen Mary - London

Grade: Distiction

GRADUATED IN 2019 (1 YEARS)

Bsc in Biomedical Science

Middlesex University - London

Grade: Distiction

GRADUATED IN 2018 (3 YEARS)

2

Academic Degrees

6

Project Completed

0

Data Science Positions

0

Technical Skills