Celiajoy Omiah

Data Scientist at Kenya Association Of Manufacturers

Based in Nairobi County, Kenya

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Seniority

Staff

Department

Information Technology

Location

Nairobi County

Industry

Government Relations Services

Company size

177

Contact information

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Email

1 credit

c•••••••@kam.co.ke

Phone

5 credits

+254 ••• •••• ••••

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Background

About Celiajoy Omiah

Focused, diligent, analytical, and solution-oriented Finance Professional with a strong background in data science techniques, and ability to maintain accurate financial records to ensure smooth day-to-day accounting operations. Experienced in performing various financial tasks including; reconciling accounts, preparing reports, and providing support to the senior accountants. Self-motivated with an eye for detail, an inquisitive and pro-active mindset with strong critical thinking skills and proven ability to work in fast-paced, high-energy, deadline-driven environments. Proficient in data analysis and expert in leveraging statistical methods and machine learning algorithms to derive actionable insights. CORE COMPETENCIES | EXPERIENCE - • Proficient in performing accounting responsibilities related to the interpretation, processing, approval, and presentation of invoices for goods and services procured. • Practiced in identifying & resolving transactional issues. Adept at investigating discrepancies, and recommending and taking appropriate corrective action in line with the laid down procedures. • Knowledge of GAAP & IFRS Accounting procedures and office methods and practices, and able to meet deadlines, to review financial documents for accuracy with attention to details. • Strong excel, quantitative skills, with well-developed analytical abilities, and proficient in using Microsoft Office applications (MS Word, Excel, Power-Point, Outlook,Power BI), ERP Navision and QuickBooks. • Excellent verbal and written communication skills, with ability to express clearly and concisely ideas and concepts in written and oral form. • Proficient in using Python in Exploratory Data Analysis (EDA) to analyze and investigate data sets and summarize their main characteristics, using data visualization methods.

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