EXPLORE

Business Analysis

Data Processing

5.0

(14 reviews)

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Wan Muhamad Haniff Fikry A.

@haniff0903

5.0

14

4.7

4.7

100%

Econometrician | Corporate Strategy & Planning

$30 USD / Hour

・

Malaysia (8:35 PM)

・

Joined on March 5, 2024

$30 USD / Hour

・

Hey there ! I am Haniff Fikry with a Bachelor of Economics (Econometrics & Applied Statistics) & Financial Engineering. I can handle various administrative tasks with efficiency and accuracy, including but not limited to: Research and data collection Document creation and editing (Word, Powerpoint) I bring extensive experience in data analysis and modeling, empowering you to make data-driven decisions with confidence. I am proficient in: Programming Languages: Python, R Databases: MySQL Statistical Software: Eviews, SPSS, STATA, MATlab Data Manipulation and Visualization: Excel, Excel VBA, Power Bi, Tableau My expertise in data analysis encompasses: Regression Models: OLS, GLS, VAR, Multilinear Regression Forecasting Models: ARDL, ARIMA, Exponential Smoothing, SARIMA Machine Learning Models: XGBoost, Random Forest I am passionate about providing exceptional service and exceeding your expectations. Let's discuss your needs and how I can help your projects thrive!

Verifications

On time

100%

On budget

100%

Accept rate

100%

Repeat hire rate

14%

See all Statisticians in Malaysia

Portfolio

Portfolio

Automated a form in excel to ensure a smooth data entry process.

Excel VBA Form

This project explored how people in the UK perceive and anticipate inflation.

1. Analyzed public expectations for inflation in five years.
2. Examined society's general awareness of current inflation rates.
3. Investigated whether there were any differences in inflation expectations between genders.
4. A regression analysis was conducted to see how factors like past inflation perception, short-term inflation expectations, and education level influenced people's expectations for inflation in five years.

Additionally, the project considered potential solutions to mitigate inflation.

[SPSS]Analysing public assumptions about the inflation in UK

This project explored how people in the UK perceive and anticipate inflation.

1. Analyzed public expectations for inflation in five years.
2. Examined society's general awareness of current inflation rates.
3. Investigated whether there were any differences in inflation expectations between genders.
4. A regression analysis was conducted to see how factors like past inflation perception, short-term inflation expectations, and education level influenced people's expectations for inflation in five years.

Additionally, the project considered potential solutions to mitigate inflation.

[SPSS]Analysing public assumptions about the inflation in UK

This project explored how people in the UK perceive and anticipate inflation.

1. Analyzed public expectations for inflation in five years.
2. Examined society's general awareness of current inflation rates.
3. Investigated whether there were any differences in inflation expectations between genders.
4. A regression analysis was conducted to see how factors like past inflation perception, short-term inflation expectations, and education level influenced people's expectations for inflation in five years.

Additionally, the project considered potential solutions to mitigate inflation.

[SPSS]Analysing public assumptions about the inflation in UK

This project explored how people in the UK perceive and anticipate inflation.

1. Analyzed public expectations for inflation in five years.
2. Examined society's general awareness of current inflation rates.
3. Investigated whether there were any differences in inflation expectations between genders.
4. A regression analysis was conducted to see how factors like past inflation perception, short-term inflation expectations, and education level influenced people's expectations for inflation in five years.

Additionally, the project considered potential solutions to mitigate inflation.

[SPSS]Analysing public assumptions about the inflation in UK

1. Predicted house prices using machine learning: Compared XGBoost, Random Forest, and Linear Regression to find the best model for accurate price predictions (measured by RMSE).
2. Ensured data quality: Cleaned and preprocessed data, addressing missing values and multicollinearity.
3. Explored hidden patterns: Used K-means clustering to potentially uncover insights within the housing market data.

[Python] Predicting House Prices Using Machine Learning

Delivered a COVID-19 Dashboard built with Power BI. This project involved:

Data Integration: Importing and preparing data from WHO sources.
Data Visualization: Creating interactive charts and graphs to display daily cases and deaths.
Dashboard Design: Constructing a user-friendly dashboard for data exploration and dissemination.
I can leverage my Power BI skills to create custom dashboards for various data analysis needs.

[POWER BI] COVID19 OVERVIEW ANALYSIS

Analysized the sale and converted the outcomes into the user-friendly and aesthetic dashboard

[EXCEL DASHBOARD]Financial Analysis System

Transformed the raw data of sales into presentable dashboard to make decision making easier

[EXCEL DASHBOARD] Sales Dashboard

Automated a form in excel to ensure a smooth data entry process.

Excel VBA Form

This project explored how people in the UK perceive and anticipate inflation.

1. Analyzed public expectations for inflation in five years.
2. Examined society's general awareness of current inflation rates.
3. Investigated whether there were any differences in inflation expectations between genders.
4. A regression analysis was conducted to see how factors like past inflation perception, short-term inflation expectations, and education level influenced people's expectations for inflation in five years.

Additionally, the project considered potential solutions to mitigate inflation.

[SPSS]Analysing public assumptions about the inflation in UK

This project explored how people in the UK perceive and anticipate inflation.

1. Analyzed public expectations for inflation in five years.
2. Examined society's general awareness of current inflation rates.
3. Investigated whether there were any differences in inflation expectations between genders.
4. A regression analysis was conducted to see how factors like past inflation perception, short-term inflation expectations, and education level influenced people's expectations for inflation in five years.

Additionally, the project considered potential solutions to mitigate inflation.

[SPSS]Analysing public assumptions about the inflation in UK

This project explored how people in the UK perceive and anticipate inflation.

1. Analyzed public expectations for inflation in five years.
2. Examined society's general awareness of current inflation rates.
3. Investigated whether there were any differences in inflation expectations between genders.
4. A regression analysis was conducted to see how factors like past inflation perception, short-term inflation expectations, and education level influenced people's expectations for inflation in five years.

Additionally, the project considered potential solutions to mitigate inflation.

[SPSS]Analysing public assumptions about the inflation in UK

This project explored how people in the UK perceive and anticipate inflation.

1. Analyzed public expectations for inflation in five years.
2. Examined society's general awareness of current inflation rates.
3. Investigated whether there were any differences in inflation expectations between genders.
4. A regression analysis was conducted to see how factors like past inflation perception, short-term inflation expectations, and education level influenced people's expectations for inflation in five years.

Additionally, the project considered potential solutions to mitigate inflation.

[SPSS]Analysing public assumptions about the inflation in UK

1. Predicted house prices using machine learning: Compared XGBoost, Random Forest, and Linear Regression to find the best model for accurate price predictions (measured by RMSE).
2. Ensured data quality: Cleaned and preprocessed data, addressing missing values and multicollinearity.
3. Explored hidden patterns: Used K-means clustering to potentially uncover insights within the housing market data.

[Python] Predicting House Prices Using Machine Learning

Delivered a COVID-19 Dashboard built with Power BI. This project involved:

Data Integration: Importing and preparing data from WHO sources.
Data Visualization: Creating interactive charts and graphs to display daily cases and deaths.
Dashboard Design: Constructing a user-friendly dashboard for data exploration and dissemination.
I can leverage my Power BI skills to create custom dashboards for various data analysis needs.

[POWER BI] COVID19 OVERVIEW ANALYSIS

Analysized the sale and converted the outcomes into the user-friendly and aesthetic dashboard

[EXCEL DASHBOARD]Financial Analysis System

Transformed the raw data of sales into presentable dashboard to make decision making easier

[EXCEL DASHBOARD] Sales Dashboard

Changes saved

5.0 · 14 Reviews

Reviews

Amazon Monthly Sales Report Automation

• ₹12,000 INR

It was very nice working with Haniff. The work got done neatly and on time.

Software Architecture

Database Programming

Nagesh N.

@lifekrafts

•

Bengaluru, India

•

3 months ago

Share

Economics and Statistics Expert Needed -- 2

• ₹3,550 INR

Fantastic Freelancer. Helped me real quick and perfectly.

Ramesh Reddy P.

@workingPhoenix

•

nalgonda, India

•

6 months ago

Share

L

SPSS Statistical Analysis Expert Needed

• $20 USD

Haniff is very professional, he delivered excellent work.

Data Processing

Statistical Analysis

SPSS Statistics

Layan A.

@Layanjohn

•

Orlando, United States

•

7 months ago

Share

Tableau Expert for Sales Data Visualisation

• $21 SGD

Nice guys and understanding

Relational Databases

Lysander L.

@lysanderling

•

Woodlands, Singapore

•

7 months ago

Share

Healthcare Dashboard Development in Power BI

• $54 USD

this is a very knowledgeable man ,going above and beyond to deliver best quality work

Nb B.

@nb2018

•

atlanta, United States

•

8 months ago

Share

Corporate Planning

Aug, 2024 - Present

•

4 months, 1 day

XX

Aug, 2024 - Present

•

4 months, 1 day

1. Peer Performance Data Compilation 2. Performance Analysis 3. Trend Monitoring and Analysis 4. Ad-hoc Data Research and Analysis

Federal Territory of Kuala Lumpur, Malaysia

Aug, 2024 - Present

•

4 months, 1 day

Universiti Kebangsaan Malaysia

2021 - 2024

•

3 years

Bachelor of Economics (Econometrics & Applied Statistics)

Malaysia

2021 - 2024

•

3 years

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