Alfred Harun

CURRICULUM VITAE (CV) 

PERSONAL DETAILS 

NAME: Alfred Harun Amuko.    

NATIONALITY: Kenyan 

LANGUAGES SPOKEN:  English, Swahili

CAREER OBJECTIVE 

To become a competent professional in the field of Data Analytics and Data Science while rendering services enthusiastically to the best of my ability.

As a seasoned Data Analyst with Four  years of hands-on experience, I have developed a robust skill set in leveraging data to derive actionable insights and drive strategic decision-making. Proficient in Python and Spark scripting, data cleaning, visualization, and machine learning techniques, I have effectively contributed to diverse projects, including developing Credit Score models for financial institutions and creating predictive algorithms for stock prices and forex currency trends. My commitment to delivering high-quality analyses within stringent timeframes has been underscored by consistently meeting project deadlines and ensuring accuracy in data-driven solutions. I aspire to further deepen my expertise in Data Analytics and Data Science, aiming to lead innovative initiatives that harness the power of data to unlock new opportunities, enhance operational efficiencies, and drive business growth. I am eager to contribute my skills and passion for analytics to tackle complex challenges and deliver valuable insights in a dynamic, results-oriented environment.

SUMMARY 

 A Data Analyst and Scientist   with 3 years of experience in the Analytics field. Well versed in executing multiple tasks in a fast paced environment. Friendly and effective when working with a wide range of personalities, disciplined, honest and hard working 

SKILLS 

1. Writing scripts in Python and Spark languages (Jupyter Notebook  & Colabs)
2. Data Cleaning
3. Data Visualization Using Tableau, Power BI and QlikView
4. Excel ,Stata & SPSS
5. Machine Learning
6. Good Management & Communication Skills

My expertise spans a broad spectrum of tools and technologies within the realm of Data Analytics and Data Science. Proficient in Python, I've developed robust scripts leveraging libraries such as Pandas, NumPy, and PySpark, effectively optimizing data processing times by up to 30% in various projects. Additionally, my experience with Apache Spark has allowed me to efficiently handle large-scale data processing and analysis tasks, demonstrating prowess in distributed computing for enhanced data insights. I possess adeptness in visualizing complex data using Tableau, Power BI, and QlikView, crafting interactive dashboards that offer comprehensive insights. Leveraging these visualization tools, I've successfully communicated intricate findings to stakeholders, enabling informed decision-making. Moreover, I have a strong command of PowerPoint, utilizing it to create compelling presentations that distill complex analytics into easily understandable narratives. Furthermore, my familiarity with cloud platforms like AWS and databases such as SQL and NoSQL has been instrumental in deploying scalable solutions and managing data effectively in cloud-based environments, enabling seamless integration and analysis of diverse datasets.

EDUCATION BACKGROUND 

WORK EXPERIENCE AS DATA ANALYST AT Infotrac Analytics From 2021 

1. Responsible for the organization’s Data Analysis Tasks and Projects
2. Making Credit Scores (Credit Scoring)

Throughout my tenure as a Data Analyst, I've spearheaded numerous Data Science and Data Analysis projects that have made substantial, tangible contributions to the companies I've served. Leading multidisciplinary teams, I've consistently delivered transformative solutions that have maximized business outcomes. One notable achievement was optimizing data processing workflows, implementing innovative data cleaning techniques that resulted in a remarkable 20% reduction in processing time. Additionally, I led a team in developing a cutting-edge Credit Score model for a financial institution, significantly enhancing their ability to segment customer creditworthiness accurately. The implementation of predictive algorithms for stock price trends and Forex currency predictions not only improved forecasting accuracy but also aided in strategic decision-making processes. These initiatives directly impacted revenue streams and mitigated risks for the organizations. Furthermore, my leadership and guidance in training Data Analysis interns have not only fostered a culture of learning but have also contributed to the department's efficiency and productivity. Overall, my strategic decision-making and hands-on contributions in these projects have demonstrated my ability to drive impactful results and elevate the analytics capabilities of the companies I've worked with.

CURRENT DUTIES AND RESPONSIBILITIES 

1. Ensuring my Data Analysis tasks are done before given timeframes and timelines 
2. Train Data Analysis Interns
3. Give direction on the day to day running of the department in the absence of Senior Staff

WORKSHOPS AND SEMINARS ATTENDED 

1. Global AI and DATA Science summit at Strathmore University
2. Big Data Workshop at University of Nairobi
3. Kenya Innovation Weeks

CERTIFICATIONS

1.STATA & SPSS  Certificates

2.Tableau & Power BI Certificates from Microsoft

3.Data Science Certification –Data Camp

PROJECTS

1.Credit Scoring – Made a Credit Score model for Bank to Segment Customer Creditworthiness

2.Stock Prices Prediction Algorithm Model – Made an algorithm to predict trends in Stock Prices 

3.Forex Currency Prediction Model- Made algorithm to predict trends in Forex currency pair prices

AWARDS

Innovative Analyst of the Year 

VOLUNTEER WORK

Helping Feed Low Class Families in Village to Prevent Malnutrition 

In my volunteer work aimed at helping feed low-income families to prevent malnutrition, I actively contributed to initiatives focusing on sustainable nutrition solutions. By collaborating with local communities, I organized food distribution drives and implemented educational programs on healthy eating habits. Additionally, I was involved in the establishment of community gardens to promote self-sufficiency and combat food insecurity. Witnessing the positive impact of these initiatives in alleviating hunger and improving nutritional outcomes for vulnerable families has been profoundly rewarding. These experiences reinforced my belief in the power of data-driven solutions even in social welfare, inspiring me to seek innovative ways to address societal challenges leveraging my analytical skills and compassionate outlook.