Datamotus

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Overview

$1,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

2 - 9

Employees

2014

Year Founded

ABOUT DATAMOTUS

Data Science/AI/Machine Learning/Data Analytics

Established in 2014 by two data scientists, Datamotus comprises a group of experts focused on delivering data mining, machine learning, and statistical analysis services aimed at giving businesses a competitive advantage in today’s data-driven environment. Our mission at Datamotus is to empower marketers, decision-makers, entrepreneurs, and organizations to make informed decisions based on data, ultimately enhancing their sales. Every business produces a significant amount of data daily, and we believe that converting this amassed data into valuable insights can greatly benefit organizations.

Languages Spoken

English

HIGHLIGHTS

$1,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

2 - 9

Employees

2014

Year Founded

Services

Focus

Industries

Clients

Services Provided

100% BI & Big Data Consulting & SI

Portfolio

Development of a Concept Paper, ToR for Big Data for Urban Planning

Unknown

Examination of the present circumstances surrounding the utilization of big data, accessible resources, databases, and systems related to urban planning in Minsk, Tbilisi, and Yerevan. • Creation of a concept document on the application of big data in urban planning. • Preparation of Terms of Reference (ToR) for a Big Data platform, as well as a pilot phase utilizing GSM data.

Dashboard for Olympiad Results

Unknown

Assignment: The organization has created an R shiny dashboard to display the outcomes of three school Olympiads: Kangaroo (Mathematics), Arjuk (Russian Language), and Meghu (Armenian Language). Responsibilities: • Writing R scripts for comprehensive data cleaning and preparation • Collaborating with the client to develop a wireframe and making revisions based on their feedback • Delivering a fully operational dashboard that includes data cleaning features.

Cash demand prediction

Unknown

Customer Issue: A bank in the US is facing challenges with cash management in its ATMs, leading to instances where machines frequently run out of cash or accumulate too much. To address this problem, the bank needs a model that can predict daily cash demand for each ATM. Datamotus Methodology: We conducted extensive data cleaning and exploratory data analysis (EDA) to identify the factors influencing cash demand for ATMs. During the EDA, we examined various elements, including the "weekday effect" and "holiday effect." We employed two different strategies for time series forecasting, utilizing multiple methods such as ARIMA, ARIMAX, time series regression, exponential smoothing, and LSTM (a deep learning approach) for both grouped and individual datasets. We compared the forecasting accuracy of all models and selected the best performing one. This search for the optimal forecasting model was carried out in R, while the most effective model was implemented in Python for production use. Results: The bank was able to notably decrease the amount of excess cash in its ATMs, lower the number of cash shortages, and enhance its overall cash management procedures.

2 more projects

Projects & Clients

Project Size & Rate

Minimum Project Size

$1,000+

Average Hourly Rate

$25 - $49/hr

Pricing Snapshot

Min Project Size

$1,000+

Avg Hourly Rate

$25 - $49/hr

Cost Rating

N/A

What Clients Have Said

"Datamotus delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

PROJECT BUDGETS

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BI & Big Data Consulting & SI

Locations

Headquarters

Yerevan

Yerevan, Armenia

+37499793232

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