Somayeh Davodi

I'm excited to connect with professionals in the data science and data analysis community. With a diverse background of experience in engineering, research, and analysis, I bring a unique perspective to uncovering valuable insights from complex datasets.

Equipped with a strong grasp of statistical analysis and data analysis techniques, I thrive on the challenges of extracting meaningful patterns and trends from data. I have a keen eye for detail and a passion for transforming raw data into actionable information that drives decision-making.

In my journey, I have upskilled extensively, focusing on areas such as programming, data visualization, and machine learning. Through professional development courses, I have honed my expertise in these domains, enabling me to leverage powerful tools and techniques to enhance data-driven solutions. 

I have a strong command of Python, utilizing its capabilities to manipulate, clean, and analyse data with efficiency and accuracy. Whether it's data pre-processing, statistical analysis, or developing machine learning models, Python is my go-to language. In addition to Python, I am proficient in SQL, allowing me to efficiently query and extract data from databases. This skill enables me to work with large and complex datasets, ensuring data integrity and reliability throughout the analysis process. When it comes to data visualisation, I am confident in utilizing industry-leading tools such as Tableau and Power BI. These platforms empower me to transform complex data into visually compelling and interactive dashboards, effectively communicating insights to both technical and non-technical stakeholders.

Last but not the least, my engineering background has instilled in me a strong analytical mindset, allowing me to approach problems from multiple angles and develop innovative solutions. I have more than 8 years of hands-on experience in conducting research, performing analysis, and presenting findings in a clear and concise manner to technical and non-technical stakeholders.

I'm eager to apply my skills and passion for data analysis and data science in a role that allows me to make a significant impact. If you're seeking a dynamic professional who can bring a diverse skill set and a hunger for learning to your team, let's connect and explore how we can leverage data to drive results.

EXPERIENCE 

Data Analyst Career Accelerator Participant                                         Apr 2023 – Dec 2023

London School of Economics and Politics (LSE)

Developed my commercial experience and expertise in driving business value by analysing, designing, and utilising proven data analytics approaches including Statistical analysis, Machine learning techniques, AB testing, web and API scraping, SQL, Python, R, Microsoft Excel, and Tableau.

• Successfully completed four major data analytics projects performing exploratory, descriptive, and predictive analysis on various data types to produce key insights and reports.
• Delivered dashboards, presentations, and technical reports to convey relevant and informative analysis findings to key stakeholders.

Data Analyst Bootcamp Participant                                                    May 2023 – Jul 2023

FastFutures

Successfully completed 6 intensive weeks with over 60h of live workshops and project work.

• Built a predictive model that calculated the odds of Arsenal winning the league (72% confident).
• Developed a Power BI dashboard to enable stakeholders at a large retail company to make real-time decisions based on performance across country, product category, and currency group.
• Identified an opportunity for a broadband operator to reduce churn by 22% using Python.

Data Analyst (Various Sectors)                                                           Dec 2021 – Mar 2023 

Freelance

Worked on diverse projects across different industries, including NHS, media industry and food and nutrition industry. 

• Utilized statistical analysis and tools like Excel, Tableau, and Power BI to answer business problems. Conducted descriptive and predictive analysis, developing analytical models for customer purchase behaviour and individual dietary intake. The insights were presented through dashboards and presentations, which received positive feedback from stakeholders.

Data Analyst (Oil and Gas Industry)                                                     Jan 2019 – Aug 2021 

GlobalData

Utilised extensive research and analysis methods to collect raw data from various sources, validate and manipulate data, load data to the existing database and employed advanced analytical skills and engineering knowledge to identify patterns and trends to help inform decision-making by presenting findings in a clear and concise manner to technical and non-technical stakeholders.

• Multiplied number of published analytical reports two-fold within six months of employment, resulting in two reports being in list of top 10 most viewed and purchased reports of the year. 
• Acquired two giant oil companies as clients providing a clear analytical picture to their business problems, using exceptional communication with sales team, offering technical advice and expert insights, as well as keeping database accurate and up to date. 

Petroleum Engineering Consultant                                                    Oct 2014 – Jan 2019 

Lloyds Register

Monitored and controlled real-time production operations, updated dataset, analysed data streams and made timely decisions, detect abnormalities and risks, and presented actionable insights for risk mitigation, optimising of production rates, and safety protocols.

• Performed descriptive and prescriptive data analysis of production chemistry processes by identifying problematic elements in oil and gas production line and managed to recommend mitigation methods where there was any risk in a timely manner based on analytical models to reduce maintenance costs.
• Increased new clients and retained existing ones by delivering excellent client support, building analytical and statistical models mainly using Excel, providing technical advice, and generating accurate consultancy reports. 
• Bestowed with honour of serving as company's representative and project manager for an oversea project.

TECHNICAL PROFICIENCIES 

• Programming Languages: Python – Inc. Pandas, NumPy, Matplotlib, Seaborn, Scikit Learn and R Studio
• Databases: Relational Database Management System, PostgreSQL, MySQL
• Visualisation Tools: Python, Tableau, Power BI, and Microsoft Excel
• Version Control: Git and GitHub
• Other Skills: Building statistical and analytical models, Web and API scraping, AB testing, Communication and interpersonal skills, Team player, Critical thinking, Analytical thinking, highly numerate and IT literate.

In previous roles:

• I have successfully collected and imported data through various methods and applied data wrangling techniques and converted raw data into actionable insights.
• Performed descriptive, diagnostic, and predictive analysis of oil and gas production data using time series analysis and applying machine learning techniques predicting oil and gas pay-zones and identifying production line risks, improved production rates and decreased costs.
• Designed compelling visuals and dashboards with Excel, Power BI, Tableau, Python, and R and delivered analytical reports and expert insights.

Certificate of Professional Development (CPD) in Data Analytics      

Apr 2023 – Dec 2023

London School of Economics and Politics (LSE)

Master of Science (MSc.) in Petroleum Engineering                            

Sep 2013 – Sep 2014

Imperial College London

Bachelor of Science (BSc.) in Petroleum Engineering                              

Sep 2009 – Sep 2012

London South Bank University