Cinedine A.

Cinedine A.

NairobiKenya
Job Success
Top Rated

Professional Data Scientist | Statistics Expert

I am a Professional Data Scientist, highly skilled Statistics Expert, and Economics Research Enthusiast with vast experience spanning over 8 years. I am passionate about data analysis and I major in modeling solutions for enterprises and emerging businesses by leveraging the power of data. I am well conversant with descriptive & inferential statistics, linear and multivariate regression analysis, hypothesis testing, cluster analysis, and predictive analysis. I am Certified in Business Intelligence Tools including R Studio/Python/Stata/SPSS/Excel/Gretl/Eviews/SAS. I have previously worked with top research companies and rendered impeccable outcomes! My exceptional knowledge and sharpened data analysis skills make me unique and outstanding and give me a competitive edge. *Major specialties + Descriptive & Inferential Statistical Analysis | Automation | Web Scraping using bs4/Selenium + Python/R Studio/Stata/SPSS/Eviews/Excel Analysis | Linear & Multiple Regression Analysis + Trend Analysis | Forecasting | Sentimental Analysis | Machine Learning Techniques + Business & Corporate level Analytics | Bayesian Statistics | Quantum Statistics + Biostatistics Statistics | Spatial Statistics | Computational Statistics + Finance Statistics | Mathematical Statistics *Key Skills and Competencies: +Great customer service +Quick turn-around +Remarkable abilities in data analysis/visualization and Business Intelligent tools + Good at communication, understanding, polite and friendly +Proven track record with superior analytical skills +Organized and comprehensive yet with the ability to explain complex facets step-by-step *Reasons why you should hire me: +High quality solutions/reports on a timely basis. +Precise and defined work ethics +Value for money. +Impeccable communication skills! +Available for inquiries and consultation. + Solutions that go beyond expectations backed up by a justified guideline methodological approach. +I am a certified professional, I offer you novel data-oriented solutions you can trust!
Rating is 2.65 out of 5.
2.65 Mar 23, 2022 - Jun 10, 2022
Private earnings
Apr 8, 2022 - May 23, 2022

No feedback given

Private earnings
Rating is 5 out of 5.
5.00 May 5, 2022 - May 19, 2022

"Excellent data analysist, Mr. Denis is very well experienced and knows his SPSS stuff, he was flexible enough to modify the changes we requested and was on time in submitting the work!"

Private earnings
Apr 29, 2022 - May 13, 2022

No feedback given

Private earnings
Rating is 5 out of 5.
5.00 of 2 reviews Mar 29, 2022 - Apr 30, 2022
Rating is 5 out of 5.
5.00

"Finished the job very well."

Private earnings
Rating is 5 out of 5.
5.00 Apr 21, 2022 - Apr 26, 2022

"Very good, fast delivery work"

Private earnings
Rating is 5 out of 5.
5.00 Apr 8, 2022 - Apr 11, 2022
Private earnings
Rating is 5 out of 5.
5.00 Mar 8, 2022 - Mar 14, 2022

"it was a great experience"

"Thankyou Omid!"

Private earnings
Rating is 5 out of 5.
5.00 Mar 8, 2022 - Mar 12, 2022

"Denis completed the work to a very high competency and was communicative throughout. Would 100% hire again."

Private earnings
Rating is 5 out of 5.
5.00 Mar 3, 2022 - Mar 6, 2022

"Denis is the best in statistics, R and Sas. I highly recommend him."

Private earnings

Cinedine A. has more jobs. Create an account to review them

Portfolio

Objective: The objective of the study was to examine the difference in mean scores among the 5 categories. The study sought to establish whether there were differences in attitude toward the mobility type of handicaps (control, amputee, crutches, hearing, and wheelchair) groups respectively. Approach/Methodology The study employed ANOVA post-hoc analysis including Bonferroni, Dunnet, Tukey-Kramer, Scheffe, and Fischer's LCD tests. Achievement of outcomes Using the various ANOVA post-hoc tests, the study establish whether there were significant differences in the mean scores of the various handicaps groups. The study concluded by rejecting /failing to reject the null hypothesis based on the results.
Data Analysis in SAS and R Studio
The task analyses the relationship between Profit and Sales. Descriptive statistics shows a summary of the important metrics of a measure including maximum, minimum, mean, deviation, variance, skewness and kurtosis (Desagulier, G., 2017). The profit descriptive statistics above shows that the total profit obtained by the 2000 companies’ top listed firms totalled to $3,406,970 million and with an average profit of about $1704.34million. Out of the 2,000 companies, General Electric recorded the greatest loss of -$22,400 while the company that generated the most profit was Apple Company which amounted to $59,400. Out of the 2000 listed companies, 126 of them made losses amounting to -$159,265 while the rest 1874 companies made a profit amounting to $3,566,235 million. The line graph below shows the amount of profits obtained from different companies.
Investigation into the relationship between Profit and Sales
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Get started working with Cinedine quickly with these predefined projects.

Get started working with Cinedine quickly with these predefined projects.

You will get quality, timely, comprehensive and well-illustrated data analysis

From $180
4 days delivery
Cinedine A.

Cinedine A.

NairobiKenya
Job Success
Top Rated
24
Total Jobs

View profile

Professional Data Scientist | Statistics Expert

Specializes in
I am a Professional Data Scientist, highly skilled Statistics Expert, and Economics Research Enthusiast with vast experience spanning over 8 years. I am passionate about data analysis and I major in modeling solutions for enterprises and emerging businesses by leveraging the power of data. I am well conversant with descriptive & inferential statistics, linear and multivariate regression analysis, hypothesis testing, cluster analysis, and predictive analysis. I am Certified in Business Intelligence Tools including R Studio/Python/Stata/SPSS/Excel/Gretl/Eviews/SAS. I have previously worked with top research companies and rendered impeccable outcomes! My exceptional knowledge and sharpened data analysis skills make me unique and outstanding and give me a competitive edge. *Major specialties + Descriptive & Inferential Statistical Analysis | Automation | Web Scraping using bs4/Selenium + Python/R Studio/Stata/SPSS/Eviews/Excel Analysis | Linear & Multiple Regression Analysis + Trend Analysis | Forecasting | Sentimental Analysis | Machine Learning Techniques + Business & Corporate level Analytics | Bayesian Statistics | Quantum Statistics + Biostatistics Statistics | Spatial Statistics | Computational Statistics + Finance Statistics | Mathematical Statistics *Key Skills and Competencies: +Great customer service +Quick turn-around +Remarkable abilities in data analysis/visualization and Business Intelligent tools + Good at communication, understanding, polite and friendly +Proven track record with superior analytical skills +Organized and comprehensive yet with the ability to explain complex facets step-by-step *Reasons why you should hire me: +High quality solutions/reports on a timely basis. +Precise and defined work ethics +Value for money. +Impeccable communication skills! +Available for inquiries and consultation. + Solutions that go beyond expectations backed up by a justified guideline methodological approach. +I am a certified professional, I offer you novel data-oriented solutions you can trust!
Rating is 2.65 out of 5.
2.65 Mar 23, 2022 - Jun 10, 2022
Private earnings
Apr 8, 2022 - May 23, 2022

No feedback given

Private earnings
Rating is 5 out of 5.
5.00 May 5, 2022 - May 19, 2022

"Excellent data analysist, Mr. Denis is very well experienced and knows his SPSS stuff, he was flexible enough to modify the changes we requested and was on time in submitting the work!"

Private earnings
Apr 29, 2022 - May 13, 2022

No feedback given

Private earnings
Rating is 5 out of 5.
5.00 of 2 reviews Mar 29, 2022 - Apr 30, 2022
Rating is 5 out of 5.
5.00

"Finished the job very well."

Private earnings
Rating is 5 out of 5.
5.00 Apr 21, 2022 - Apr 26, 2022

"Very good, fast delivery work"

Private earnings
Rating is 5 out of 5.
5.00 Apr 8, 2022 - Apr 11, 2022
Private earnings
Rating is 5 out of 5.
5.00 Mar 8, 2022 - Mar 14, 2022

"it was a great experience"

"Thankyou Omid!"

Private earnings
Rating is 5 out of 5.
5.00 Mar 8, 2022 - Mar 12, 2022

"Denis completed the work to a very high competency and was communicative throughout. Would 100% hire again."

Private earnings
Rating is 5 out of 5.
5.00 Mar 3, 2022 - Mar 6, 2022

"Denis is the best in statistics, R and Sas. I highly recommend him."

Private earnings

Cinedine A. has more jobs. Create an account to review them

Portfolio

Objective: The objective of the study was to examine the difference in mean scores among the 5 categories. The study sought to establish whether there were differences in attitude toward the mobility type of handicaps (control, amputee, crutches, hearing, and wheelchair) groups respectively. Approach/Methodology The study employed ANOVA post-hoc analysis including Bonferroni, Dunnet, Tukey-Kramer, Scheffe, and Fischer's LCD tests. Achievement of outcomes Using the various ANOVA post-hoc tests, the study establish whether there were significant differences in the mean scores of the various handicaps groups. The study concluded by rejecting /failing to reject the null hypothesis based on the results.
Data Analysis in SAS and R Studio
The task analyses the relationship between Profit and Sales. Descriptive statistics shows a summary of the important metrics of a measure including maximum, minimum, mean, deviation, variance, skewness and kurtosis (Desagulier, G., 2017). The profit descriptive statistics above shows that the total profit obtained by the 2000 companies’ top listed firms totalled to $3,406,970 million and with an average profit of about $1704.34million. Out of the 2,000 companies, General Electric recorded the greatest loss of -$22,400 while the company that generated the most profit was Apple Company which amounted to $59,400. Out of the 2000 listed companies, 126 of them made losses amounting to -$159,265 while the rest 1874 companies made a profit amounting to $3,566,235 million. The line graph below shows the amount of profits obtained from different companies.
Investigation into the relationship between Profit and Sales
Want to see more? Create Account

Get started working with Cinedine quickly with these predefined projects.

Get started working with Cinedine quickly with these predefined projects.

You will get quality, timely, comprehensive and well-illustrated data analysis

From $180
4 days delivery
More than 30 hrs/week