Samuel
Big data engineer
- Employment type:
- full-time, part-time
- Age:
- 31 years
- City of residence:
- Other countries
- Ready to work:
- Dnipro, Kharkiv, Kyiv, Lviv, Odesa, Other countries, Remote, Vinnytsia, Zaporizhzhia
Contact information
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Work experience
Data Scientist
from 06.2022 to 08.2022
(3 months)
Turing, Remote (IT)
Design and implement data migrations pipelines, ETL process using Apache Airflow, GCP, Bigquery
Collaborate with engineers and different teams on data QA to identify the data quality issues introduced in product development
Data Engineer
from 09.2021 to now
(4 years 8 months)
BuyPower, Abuja, Nigeria (Finance, banking, and insurance)
Design and implement pipelines for data replication automation of request logs from an unstructured database(MongoDB, Firebase), relational database (MYSQL in Amazon RDS) to Data Warehouse (BigQuery).
Lead a team of three Data engineers, and collaborate with Engineering management on continual improvement of the ETL process, Documentation, data pipeline architecture and system architecture design to minimize operation cost by 40%.
Communicating with various teams and clients to understand their needs, and translating their feedback into actionable reports in Google Data Studio that save 15 hours of manual work per week.
Building multiple observability systems that give several teams insight into their operations, increasing transparency of information and reducing time to insight from days to mere seconds.
Culling Insights and preparing multiple Google Data Studio dashboards for various teams and clients from Data Warehouse to answer business questions and consolidate the company’s long-term goals and visions.
Implementing several schema and query optimisation techniques which reduced the overall time required to execute queries by up to 70%
Conducts financial analysis on B2B, and B2C transactions that led to debt recovery of tens of million naira.
Python Tutor & Mentor
from 08.2021 to 02.2022
(7 months)
Kodland, Remote (Education and science)
Taught kids between the ages 8 and 17 basic and applied python programming language, scratch
Supervised and mentored kids on different individual projects such as chatbots, python (EasyGUI app, Tkinter app, PyGame, Discord Bot, Telegram Bot, Product Design with Figma).
Data Analyst
from 04.2020 to 08.2021
(1 year 5 months)
Smarterise, Lagos (Power industry)
Presented summarized data insights on energy consumption and power quality to save more than 30% of the annual operational budget of our clients.
Built a comprehensive KPI sales report for a Multinational client to track sales records and make data-driven decisions to boost the annual sales revenue by 40%.
Applied ML model in prediction of energy load profile for research and recommendation purposes.
Data Analyst Intern
from 10.2019 to 11.2019
(2 months)
Takenmind Inc, USA (Finance, banking, and insurance)
* A remote internship that focused on Data analysis and visualization for Finance/Analytic Career
* Made use of python libraries such as NumPy, pandas, seaborn, sci-kit learn for data manipulation and visualization
* Created proof of concept and made use of ML algorithm such as Decision Tree, RandomForest, Logistic Regression for the Capstone Project
Education
WorldQuant University
Master of Science in Financial Engineering, USA
Higher, from 2020 to 2022 (2 years)
A free online 2 year Master degree in Financial Engineering. So far I have accomplished;
•Building Binomial Tree, Black Scholes Model for predicting MSFT Call/Put option (MS Excel, Financial Market)
•Univariate and Multivariate Time series analysis and forecast using Python, R (Econometrics)
•Developing Trading Algorithms on Cryptocurrency (Bitcoin) using Pair Trading, Neural network (Econometrics)
•Applying Supervised and Unsupervised ML algorithm on 35 ETF Stock Indices (Machine Learning in Finance)
University of Lagos
Electrical and Electronics Engineering, Lagos, Nigeria
Higher, from 2015 to 2019 (4 years)
Additional education and certificates
WorldQuant University Data Science Program, Applied Data Science I: Scientific Computing and Python
2021, 3 Months
Fundamental in Digital Marketing by Google
2019, 2 months
Udemy, Data Analysis and Visualization
2019, 3 months
ALC x Microsoft 4Afrika Skillslab: Azure Data Fundamentals
3 months
Knowledge and skills
- MS Power BI
- Confluence
- Google Docs
- Car driving
- Jira
- Linux
- Microsoft.Office.Tools
- MS Office
- Slack
- Python
- SQL
- Google BigQuery
- Git
- Looker Studio
- Google Cloud Platform
- MongoDB
- MySQL
Language proficiencies
English — fluent
Additional information
Additional information
About me
I am a critical thinker and love to undergo new challenges which can help scale existing businesses. I am very attentive to details and can work independently and with a team to complete the given task within the stipulated timeline.
I have a passion for Sustainable Development Goals and working toward using my academic and work experience to actualize this dream.
Finally, My hobbies include Chess, Scrabble, Paint Ball!
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Skills
Clerical support; Data entry and analysis; communication (English); Point, Excel, Google Docs, Drive; experience with slack, Jira, Confluence; Technical Support; Process implementation; Android Development (Basic); MATLAB (Basic); Python (Intermediate); C++, HTML/JavaScript/Bootstrap; SQL; Microsoft Power BI; Web Scraping; Linux; MS PowerPoint; Python; Cohort Analysis; PostgreSQL; Time intelligence Power BI; DBT, Fivetran, Snowflake
More resumes of this candidate
Considering positions: Data engineer, Analyst, Financial analyst
Other countries
CHUKWUDI SAMUEL OGBEKILE Data Engineer · Analytics Engineer · AI / LLM Engineer · · github.com/ogbeks · ogbeks.github.io/portfolio · upwork.com/fl/~0120d38bac5974a240 PROFESSIONAL SUMMARY...
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