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$45 USD / hora
Bandera de CANADA
toronto, canada
$45 USD / hora
Aquí son las 10:14 p. m.
Se unió el julio 12, 2015
2 recomendaciones

Mohammed Irfaan M.

@irfaanmeah

 5,0 (35 comentarios)
5,7
5,7
95%
95%
$45 USD / hora
Bandera de CANADA
toronto, canada
$45 USD / hora
100 %
Trabajos finalizados
99 %
Dentro del presupuesto
93 %
A tiempo
8 %
Tasa de recontratación

Analytics Consultant | Data Analyst | Data Science

Experienced analytics professional with 7+ years of experience in building and implementing solutions in Retail, Healthcare, Real Estate and Insurance. Passion to approach problems logically and to guide clients make data-driven decisions using descriptive, predictive and prescriptive analytics. * Proficient in R, Python, Spark, SQL and Excel * Statistics, ML and Deep Learning
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Contacta Mohammed Irfaan M. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Portafolio

9125771
The client wanted to see historical data of tasks and fee earned along with a monthly summary.
Tasks and Payment Dashboard
9071661
The goal of this project was to showcase the overall company performance of an eCommerce company. The Dashboard has 4 KPIs and 4 plots showing sales by different variables. This can be seen here - https://datastudio.google.com/s/o7aLO4_LG98
Company Performance Dashboard
6668776
This project dealt with forecasting time-series data on a daily level/hourly level. An ensemble of models determine which of them work best for a given test period and this is used to forecast for the future. A Shiny app was created too to see how the forecast changes during the day with more data being captured at an interval level of 15 minutes.
Machine Learning and Statistics
This project dealt with forecasting time-series data on a daily level/hourly level. An ensemble of models determine which of them work best for a given test period and this is used to forecast for the future. A Shiny app was created too to see how the forecast changes during the day with more data being captured at an interval level of 15 minutes.
Machine Learning and Statistics
This project dealt with forecasting time-series data on a daily level/hourly level. An ensemble of models determine which of them work best for a given test period and this is used to forecast for the future. A Shiny app was created too to see how the forecast changes during the day with more data being captured at an interval level of 15 minutes.
Machine Learning and Statistics
9068320
This template was built to identify which of the items like passport, visa, etc is set to expire. This answers questions of what is going to expire, when and who's. This has two main features:- - Identifying which of the items are close to expiring and expired. The close to expiring are marked in yellow and the ones which have expired are in red. - A macro will fetch all of them into a tabular format and a notification will be sent via email
Expiration Tracker
This template was built to identify which of the items like passport, visa, etc is set to expire. This answers questions of what is going to expire, when and who's. This has two main features:- - Identifying which of the items are close to expiring and expired. The close to expiring are marked in yellow and the ones which have expired are in red. - A macro will fetch all of them into a tabular format and a notification will be sent via email
Expiration Tracker
6668780
Using tools like Microsoft Office and google sheets to automate tasks.
Automation
Using tools like Microsoft Office and google sheets to automate tasks.
Automation
Using tools like Microsoft Office and google sheets to automate tasks.
Automation
9125771
The client wanted to see historical data of tasks and fee earned along with a monthly summary.
Tasks and Payment Dashboard
9071661
The goal of this project was to showcase the overall company performance of an eCommerce company. The Dashboard has 4 KPIs and 4 plots showing sales by different variables. This can be seen here - https://datastudio.google.com/s/o7aLO4_LG98
Company Performance Dashboard
6668776
This project dealt with forecasting time-series data on a daily level/hourly level. An ensemble of models determine which of them work best for a given test period and this is used to forecast for the future. A Shiny app was created too to see how the forecast changes during the day with more data being captured at an interval level of 15 minutes.
Machine Learning and Statistics
This project dealt with forecasting time-series data on a daily level/hourly level. An ensemble of models determine which of them work best for a given test period and this is used to forecast for the future. A Shiny app was created too to see how the forecast changes during the day with more data being captured at an interval level of 15 minutes.
Machine Learning and Statistics
This project dealt with forecasting time-series data on a daily level/hourly level. An ensemble of models determine which of them work best for a given test period and this is used to forecast for the future. A Shiny app was created too to see how the forecast changes during the day with more data being captured at an interval level of 15 minutes.
Machine Learning and Statistics
9068320
This template was built to identify which of the items like passport, visa, etc is set to expire. This answers questions of what is going to expire, when and who's. This has two main features:- - Identifying which of the items are close to expiring and expired. The close to expiring are marked in yellow and the ones which have expired are in red. - A macro will fetch all of them into a tabular format and a notification will be sent via email
Expiration Tracker
This template was built to identify which of the items like passport, visa, etc is set to expire. This answers questions of what is going to expire, when and who's. This has two main features:- - Identifying which of the items are close to expiring and expired. The close to expiring are marked in yellow and the ones which have expired are in red. - A macro will fetch all of them into a tabular format and a notification will be sent via email
Expiration Tracker
6668780
Using tools like Microsoft Office and google sheets to automate tasks.
Automation
Using tools like Microsoft Office and google sheets to automate tasks.
Automation
Using tools like Microsoft Office and google sheets to automate tasks.
Automation

Comentarios

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Mostrando 1 - 5 de 35 reseñas
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5,0
$30,00 USD
google sheet calculate average sales per Day
Did good work, very quickly. A+
PHP
JavaScript
Data Processing
Data Entry
Excel
Avatar del usuario
Bandera de Rob A.
@killadrummer
•
hace 3 años
5,0
$250,00 USD
I need an excel expert
He is an excel expert. Well Done Mohammed !!!! Thank You. It saved me a lot of time .
Visual Basic
Data Processing
Data Entry
Excel
Data Mining
S
Bandera de Samuel S.
@saveins8
•
hace 3 años
5,0
$150,00 USD
Excel Expiration Tracker -- 2
Mohammed was attentive to detail and asked poignant questions that I wouldn’t have even thought to ask in creating a clearly defined project. He has a high level of expertise and engagement to his craft. I will definitely look to partner with him again in the future!
Data Entry
Excel
Format and Layout
L
Bandera de Luke E.
@lukeegan
•
hace 3 años
5,0
$45,00 CAD
VBAscripting from Jira
Excellent work and the freelancer is really comprehensive
Excel
Excel VBA
Atlassian Jira
M
Bandera de Meyssa S.
@Mel099
•
hace 3 años
5,0
$45,00 AUD
Excel sheet data separation Using Simple Python code
fast delivery and full client satisfaction. He is an expert. Highly recommend him
Python
Data Processing
Excel
Software Architecture
R
Bandera de Redeaglelife
@Redeaglelife
•
hace 3 años

Experiencia

Analytics Advisory Associate Manager

Accenture
sept 2017 - mar 2020 (2 años, 6 meses)
•Applied techniques like ETS, Holt-Winters, ARIMA, XGBoost, LSTM and Linear programming in R and Python to forecast, plan and schedule staff to maximize productivity that helped minimize costs by 10 FTE. •Developed and implemented a data quality model for a healthcare provider to reduce effort and maximize the hit rate for calls, resulting in a savings of 1.3 Million in 2018. Applied LR, RF, XGBoost and DNN to build a stacked model for predicting provider presence at a location.

Data Scientist

Technosoft
nov 2015 - ago 2017 (1 año, 9 meses)
• Improved the procedure of a background verification company by successfully implementing machine-learning techniques like Random Forest and XGBoost to classify good vs bad profiles to investigate thoroughly and charge appropriately. • Used market basket analysis to identify 5-8% charge leakages in overall claims made to the insurance companies that were undercharged and recommended the appropriate procedure codes to be added.

Senior Analyst

Tesco
jul 2011 - ago 2015 (4 años, 1 mes)
• Automated reports using Excel VBA and SQL to drastically reduce time and effort from four days to one day. This was integrated with an in-house tool named "ATOM". • Implemented market basket analysis for the personal care department to find associations between products, which led to optimized placement in aisles and combo packs that increased sales by 15%.

Educación

Bachelor of Business Management

Bangalore University, India 2008 - 2011
(3 años)

Contacta Mohammed Irfaan M. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Verificaciones

Freelancer preferente
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Email verificado
Facebook conectado

Certificaciones

preferredfreelancer-1.png Preferred Freelancer Program SLA 1 97%
data_entry_1.png Data Entry 1 87%
numeracy_1.png Basic Numeracy 1 87%
SQL_1.png SQL 1 80%
us_eng_1.png US English 1 75%

Principales habilidades

Excel 32
Python 8
Statistics 8
R Programming Language 7
Algorithm 6

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