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Data Scientist with hands-on experience in building predictive models, utilizing machine learning techniques and developing
data-driven solutions to optimize energy distribution and operational efficiency. Proficient in Python, R, SQL, Power BI, and
Tableau, with a strong background in analyzing large datasets and automating reporting processes. Demonstrated success in
creating interactive dashboards, conducting exploratory data analysis, and leveraging big data tools like Hadoop and Spark
to drive real-time insights and decision-making. Experienced in collaborating with cross-functional teams to deliver scalable,
impactful solutions in the energy sector.

Adept Data Scientist with a proven track record at Hewlett Packard Enterprise, where I enhanced productivity by implementing advanced forecasting models and optimized machine learning pipelines. Skilled in Python programming and team collaboration, I excel in transforming business requirements into data-driven solutions, significantly reducing analysis errors and processing times.

NAME: Moses Masinya Morimbori NATIONALITY: Kenyan Willing to relocate: Anywhere Authorized to work in the US for any employer
Detailed Data Analyst Intern well-versed in various statistical methods such as descriptive and influential statistics. Independent and versatile individual skillful in identifying data issues and monitoring existing metrics. Offering 5 years of experience collecting data, establishing facts and drawing valid conclusions. Proficient in python paired with first-rate report writing abilities. Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Statistical Modelling.

Astute Data Scientist with data-driven and technology-focused approach. Communicates clearly with stakeholders and builds consensus around well-founded models. Talented in writing applications and reformulating models.

Data Analyst familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in R programming, Python, Snowflake.

Tanessha Anjali Rajalakshmi

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MBA - Media Advertising Management And Marketing

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Data Scientist

MBA - Media Advertising Management And Marketing

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