Image de profil de irfaanmeah
Drapeau de India Bengaluru, India
Membre depuis le 12 juillet 2015
0 Recommendations


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I'm a quick learner, open to learn new things. Always find a smarter way to do things. I have experience in Python, R, Spark, SQL and Excel in which I use statistics and machine learning to solve problems which my clients face and help them visualize it better.
$35 USD/hr
18 commentaires
  • 100%Travaux complétés
  • 98%Selon le budget
  • 100%Dans les temps
  • 27%Taux de Réembauche

Éléments du portfolio

Avis récents

  • image de Aulageo A. Excel formula to extract text $30.00 USD

    “Excelent job, on time”

  • image de Kristian B. Excel Expert required $95.00 USD

    “Irfaan was a pleasure to work with from start to finish. Very professional and knowledgeable. I highly recommend him.”

  • image de Feng L. Clean Up WooCommerce Data & Run RFM Analysis $40.00 USD

    “He's great to work with ! we shall do more projects together”

  • image de Danielle M. Nursing QC Log $140.00 USD

    “Mohammed was wonderful to work with from the beginning to the end. Within minutes of posting my project we were on a call discussing exactly what I wanted. He made great suggestions and could see my vision, even when I wasn't 100% sure of what I was looking for. Within a day Mohammed sent me his first draft of the project which I thought was absolutely perfect. He suggested we add a few things to make the project even more specific and detailed. Finished project exceeded my expectations!”

  • image de Jose Alberto A. Find a way to locate data with vlookup or other similar formula $30.00 USD

    “Fast and very accuratte work”

  • image de Marco C. Excel issue $11.00 USD

    “Great job, issue was resolved.”


Analytics Advisory Associate Manager

Sep 2017 - Mar 2020 (2 years)

-Applied forecasting techniques like Exponentialsmoothing, ARIMA models, XGBoost and Deep learning methods like LSTM in R& Python -Optimization of staff using linear programming to maximize productivity. -Applied techniques like Logistic regression, Random forest, Xgboost and deep neural networks to build a stacked model for predicting provider presence at a location using Python and PySpark

Data Scientist

Nov 2015 - Aug 2017 (1 year)

• Used Machine learning techniques to improve the procedure of a background verification company to investigate thoroughly and charge appropriately by classifying good vs bad profiles • Identified5-8% charge leakages in overall claims made to insurance companieswhich were under charged and recommended the appropriate procedure codes to be added using Associationrules (apriori algorithm) • Forecasted payments to be received from Payers in the next 45 days to payout bonuses to provider

Senior Analyst

Jul 2011 - Aug 2015 (4 years)

-Provide insights to stake holders by creating reports and dashboards to make an informed decision -Automated reports using Excel VBA andSQL to drastically reduce time and effort from four days to one day. Integrated this with an in-house tool named "ATOM"


Bachelor of Business Management

2008 - 2010 (2 years)


  • Preferred Freelancer Program SLA
  • US English Level 1


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