As a highly skilled Data Analyst with expertise in utilizing advanced analytical techniques to drive data-driven decision-making processes, I am passionate about uncovering actionable insights that fuel organizational growth.
With a strong command of tools and technologies such as Python programming, SQL, and statistical analytical tools, I have achieved significant outcomes throughout my career.
I thrive in a collaborative and fast-paced environment, where I can apply my analytical expertise to guide data-driven decision-making processes and deliver impactful outcomes.
With a strong commitment to continuous learning and staying up-to-date with industry trends, I am dedicated to driving innovation and making data-driven insights accessible to stakeholders at all levels.
September 2023 - Present
In my current, I have demonstrated expertise in utilizing advanced analytical techniques to drive data-driven decision-making processes. Collaborating with psychologist, we achieved significant outcomes, such as; fostering a more inclusive work environment, backed by data-driven strategies.
May 2022 - Present
As a Data Analyst at Daniel Analytics, I have played a pivotal role in driving data-driven decision-making processes. By utilizing Python programming and statistical analytical tools such as SQL amongst many others,I have developed interactive dashboards using Power BI, Tableau, Plotly and Dash, enabling executives to gain insights into key business metrics and make informed decisions.
Dec 2022 - Feb 2023
At Tata Group, as a Junior Data Analyst, I utilized advanced analytics techniques to identify root causes of production defects and designed automated dashboards to track key performance indicators. These initiatives resulted in improved yield rates and reduced time spent on data gathering and analysis.
Jan 2022 - Jan 2023
During my tenure at ExploreAI, I worked as a Junior Data Scientist, where I developed automated data cleaning processes and deployed forecasting models that improved company productivity. I also conducted comprehensive data analysis to identify cost-saving opportunities, leading to a reduction in costs and increased profitability.
Each project encapsulates my expertise in extracting valuable insights, aiding decision-making processes through data interpretation and innovative problem-solving.
Python || Machine Learning
In the vast landscape of data, my recent expedition involved embarking on a journey through British Airways customer reviews. Armed with Python's formidable libraries—BeautifulSoup, Requests, and Pandas—I set out to uncover the sentiments and nuances within a treasure trove of a thousand customer testimonials.
SQL
In the symphony of life, music holds a special place. It's more than just tunes; it's the healer of wounds, the companion in solitude, and the unifier of souls. As I found myself lost in the melody of this universal language, a curious thought struck a chord – could the data behind our favorite tunes hold the key to unlocking new harmonies in the music retail world?
PowerBI
In the bustling world of call centers, where customer connections unfold like a well-scripted drama, diversity takes center stage. Recognizing the pivotal role diversity plays in organizational success, I embarked on a Power BI journey to dissect the intricacies of a call center's workforce.
Python || Machine Learning
Imagine never again having to worry about walking into a store and realizing that the laptop you need is way beyond your budget. Our project aims to solve this common challenge faced by tech enthusiasts and laptop buyers alike. By leveraging the power of data science, we have developed an intelligent system that provides estimated laptop prices based on desired specifications. With this innovative tool, you can confidently enter a store, knowing exactly how much you need to spend. Say goodbye to surprises and hello to a seamless and informed laptop buying experience.
Python || Machine Learning
The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict
which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study
customer purchase patterns and for better product marketing and cross-selling.
In this project, both Python and Machine Learning Algorithms.
SQL || Power BI
Considering expansion, Hiltop Group have decided to analyze data fro the past 20 years, excluding 2022 ans 2021, all they seek is to gain insight on employee and department performance. In this project, both SQL and Power BI were employed.
SQL
Exploratory data analysis in SQL of Covid-19 case and death trends by country.
Daniel has a postive attitude and is friendly. I like his willingness to learn new skills and helping people to understand a certain skill when needed. He has great communication skills and always take the initiative to seek out help when he encounters a problem.
In my dictionary, Tenacity is spelt D-A-N-I-E-L. Daniel makes you believe everything is possible when placed in their right context. You'll begin to see all the possibilities fall into place. Indeed, a Data Scientist with a strong will to solve problems.
I have worked with Daniel, and I must commend his high dedication and passion for finding solutions to problems. His can-do ability makes everything possible and within reach. I would definitely add him to any team, he has proven to be an asset.
Daniel possesses diligent personality, with the willingness to learn and build his career in the field of Data Science. Having spent 6 months as his colleague at EXPLORE AI Academy, I have seen him display relevant skills and abilities to thrive in the work place
Mobile: (+234) 702 639 5253
danifedibah@gmail.com
Lagos, Nigeria 100212 NG
