Adekunle Emmanuel Salako

Adekunle Emmanuel Salako

$40/hr
IT professional specializing in data science, data analytics, and automation.
Reply rate:
100.0%
Availability:
Full-time (40 hrs/wk)
Age:
35 years old
Location:
Baldwin, New York, United States
Experience:
4 years
About

Reframed and Refined Write-Up

I am a results-driven IT professional specializing in data science, data analytics, and automation, fueled by a passion for innovation and problem-solving. My career is dedicated to delivering cutting-edge technological solutions that enhance efficiency and drive impactful business outcomes.

With a robust background in managing large-scale IT infrastructures, I excel in extracting actionable insights from complex datasets and leveraging advanced technologies to optimize business processes. My academic foundation includes a Bachelor’s degree in Sciences, enriched by specialized training in robotics, automation, and data science.

Currently, I serve as a Business Intelligence Analyst at Smartmathz LLC in New York City, where I collect, clean, and analyze datasets to deliver actionable insights. Utilizing tools such as Tableau, Python, and machine learning libraries, I design intuitive dashboards and reports that empower data-driven decision-making. My role also focuses on translating insights into strategic recommendations, optimizing processes, and upholding data governance standards to maintain accuracy and integrity.

In my previous role as a Data Scientist at Discovery Info Digital Agency, I developed and deployed machine learning models, performed exploratory data analysis, and optimized algorithms. This experience allowed me to demonstrate expertise in advanced analytics, automation, and statistical forecasting.

My earlier positions include serving as a Robotics and Automation Developer at Robotics and Artificial Intelligence Nigeria, where I contributed to software design and IoT projects. As a Python Developer at Aptech Computer Education, I honed my skills in web development and database management, while my role as a Data Analyst at Gilead Pharmacy involved mastering data visualization and crafting complex SQL queries.

I am proficient in Python, SQL, Tableau, and cloud technologies (GCP), Kubernetes and Docker.

My expertise is further validated by certifications in robotics, automation, and application deployment. My contributions to innovative projects like fire prediction modeling and face recognition systems underscore my collaborative and solution-oriented mindset.

Fluent in English and conversant in German, I thrive in multicultural and global environments. Beyond my professional endeavors, I enjoy traveling, listening to music, and playing and watching soccer.

With a unique blend of technical expertise, practical experience, and a commitment to continuous growth, I bring versatile capabilities and a forward-thinking approach to the ever-evolving field of data science and technology.

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