Data Science for Financial transactions

Hi, I am interested in your project. I am Python and Machine Learning specialist, certified by Freelancer. I fully understand your requirements and I am sure I can help you. Let's discuss details by chat.

Hello, Hope you are doing well. I can help with your project Data Science for Financial transactions. I can assure you the quality job. I have good experience in Artificial Intelligence, Data Science, Machine Learning, Python. We have worked on several similar projects before! Please have a look at my portfolio below: https://www.freelancer.com/u/schoudhary1553 We have worked on 400+ Projects. Please check the profile reviews. I can deliver your job with in your deadline. Please ping me for more discussion. I can assure the 100% job satisfaction. Thanks,

I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Applications using flask/django. My area of expertise is building financial models (Stock Markets) , Image Processing and building models for food, healthcare and telecom sector, Classification/Prediction/Clustering, NLP and Chatbots. Specifically, I have worked for log on stock data and model building for the same. I understand the project requirement and will deliver the desired product within the time specified. I would like to hear from you. Thanks Shivam

I am a Python data science expert with experience in Classification and partitioning,Nureal Networks, Association rules. Also I am a Oracle Certified professional (OCP) with experience in Oracle,MySQL, SQL Server and MongoDB. I can help you with your requirements. Please initiate online chat.. so we can proceed with discussion

Hello, Greetings of the day.!! Your project attracted my attention at first glance, because I've really rich experience in Machine Learning & Python Programming. I am having 5+ year of experience in Data Science using tools like Python, R, Spark. I have worked on several similar projects before! Worked on multiple projects in various domains like life sciences, CPG, Insurance. I have completed Master of Technology in Machine Learning. I'm really confident about your project, and very eager to join your project. If we have a chance to cooperate, I'll do my best to provide wonderful result. Work Areas - Image Processing(OpenCV), Text Mining(NLP), Supervised and Unsupervised Machine learning problem(Classification, Regression Clustering). Thanks, Abhyudaya D

Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, PYTHON, WEKA, TABLEAU and EXCEL tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

Hello, I'm a data scientist expert in my field, looking at your data, we can assert that two variables will not be useful at all (phone and email). For the other variables, I think the amount is most dependent one, we can make prediction of it or build a model to explain it and see what can impact it from the other variables. The statuts seems to be a good variables that we may classify or cluster using some supervised learning algorithm...

You can predict purchase behaviour of the users using ML with this data. There are various other possibilities as well Best, Debdeep

Hi I have been working as data scientist for more than 4 years during which i implemented numerous machine learning algorithms to solve varied business problems. To gain other domain knowledge, i have make sure to participate in online data science contests as much as possible. I have also managed to won few contests as well. With the mentioned dataset, one can think of few things 1. Finding out networks & a lot of networks can be further explored 2. People financial credibility can also be created by looking at their transactions, which further be used for loan/mortgage etc 3. Any specific frequent money transactions can help in predicting future transactions as well. The main point here should not be what can be achieved from this dataset, it has to be other way round, what problem statement we want to solve, then we can explore dataset & recommend accordingly

Hi, I have experience in machine learning and worded on both supervised and unsupervised problem along with classification problem. As per your requirement I can do the data analysis using pandas API in python and show useful information through matplot and seaborn libraries in python. I can also do the model building as well. we can discuss more over the chat Thanks and regards

I am a hard worker with fast learning capability. A results-driven, customer-focused, diligent and analytical Software Engineer who strive for self-development. Strong in design and integration problem solving skills. I am team player; I have started my carrier as a trainee lowest label in the team, now I am a senior engineer, so I have experience of how to deal in team work as a team player. My Skillset: • Frameworks: Django, Flask, Mezzanine, Django REST framework. • Libraries: Requests, BeautifulSoup, South, django-allauth, celery • API (REST framework) • Database: MySql, MongoDB, Postgres, Redis • Clouding Server: Google App Engine, Amazon web Services, Heroku, Digital Ocean... • Frontend: Bootstrap3, CSS, HTML5, SASS, LESS • Facebook API, Google API, Twitter API, LinkedIn API integration etc... • SMS gateway: Twilio, Plivo • Server: AWS, EC2, S3, Apache, passenger • JS Frameworks: JQuery, Angular, React • Unix, Mac, Windows operating systems. • Hands on experience in telecom wireless, IoT industry or management consulting, solution architecture and design. • Software system design and architecture skills. • Extensive experience developing prototypes and general rapid prototyping skills. • Certifications or experience with PTC ThingWorx, GE Predix, or AWS • Use of raspberry pi in practical projects

I am working from last 2 years as lead Data Sci. with AI firm in Fin-tech where we done multiple analysis and prediction models on transaction data. We can do following analytics based on above transaction data. 1. Time series based analysis for amount. i.e Can tell for each month which dates or week get highest transaction. 2. Frequency based on status of transaction and time. 3. Average amount based on status 4. Based on phone number code we can find the area related analysis. Prediction: 1. Future prediction for no of transaction based on time series. 2. Prediction of area wise transaction amount 3. If we get transaction is success or fail we can predict the confidence of transaction get fail Peer based analysis: 1. We can cluster the users and give analysis based on that. i.e the people done transaction less than $1000 mostly from xyz area.

Dear Sir: I'm interested in your project. I am very much trust worthy, hard working and experienced in data entry for the long time. I would like to do the job. Please feel free to contact me if you have any further queries. Best Regards, Mazhar

Hi! Im a informatic engineer's student, i know how use python and data infrastructures in it

Have experience with projects on Knn , Random Forest , logistic regression , linear regression , all major predictive models in machine learning.

Hi, I have an exquisite interest in Machine Learning and its applications and love experimenting learning algorithms on different kinds of data. I have worked on problem statements with prediction and natural language processing before and do have three years of industry experience where I have been involved in a lot of research projects. There are a couple of research papers published by me as well regarding different applications of Machine Learning algorithms.

Based on your limited data, I can do some exploratory data analysis to see trends and relation between variables. One example that I can expose is finding a relation between time & date with amount of data and/or frequency. I can also create a model for your data. This job is common for me as I have 2 years experience in research assistant. If you hire me, I can give you one or two tips on data format in case of your business need to scale up. Thank you for your consideration, and good day.

Judging by your data, it seems that there's not a whole lot of model-building to be done, unless there are a lot of transactions for each customer. What can be done, however is to visualize the data with a network graph. This will allow you to see how the money flows and when it occurs. Using the graph you will be able to gauge when servers will have a lot of load and to accommodate for this, or make promotions to customers when the money flow is running dry. PS: Even if you're not going to bid on me, please do send the data to me. I want to see what I can do with it.

Proficient in Python. Looked at your data. Masters in Data Science. Can segregate people on the basis of amount they are spending, how often they perform transaction. Can find the churn rate. Can do RFM analysis.

I am the best candidate for you because I have a consistent history of exceeding my targets and goals for the past three years. I have been promoted two times in the last year which is nearly unheard of in my current company. In addition to these successes, I have very excellent cold calling skills which I will put to work immediately after being hired by your company