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Data Scientist - expertise in Machine Learning and Automation
Md Irfaan Meah
,
Bengaluru, India
Experience
Other titles
Skills
I'm offering
Md Irfaan Meah is a Data Scientist with more than 8 years of experience in solving analytical problems. He is curious and loves to learn new technologies which solve problems faster and more efficiently.
He is an expert in Machine Learning and Automation using tools/languages like R, Python, SQL, Excel and VBA.
He enjoys working on projects which are challenging and goes the extra mile helping employers see the bigger picture. Transparency, efficiency and quality is what makes his clients come back to him.
His recent projects include time series forecast of a coffee harvest, building a recommendation engine for movies, predicting a provider's presence in a clinic and automating complex structure of inputs ingested by systems.
He is an expert in Machine Learning and Automation using tools/languages like R, Python, SQL, Excel and VBA.
He enjoys working on projects which are challenging and goes the extra mile helping employers see the bigger picture. Transparency, efficiency and quality is what makes his clients come back to him.
His recent projects include time series forecast of a coffee harvest, building a recommendation engine for movies, predicting a provider's presence in a clinic and automating complex structure of inputs ingested by systems.
Markets
United Kingdom
Links for more
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Industries
Language
English
Fluently
Ready for
Larger project
Ongoing relation / part-time
Full time contractor
Available
My experience
2017 - 2020
job
Analytics Advisory Associate Manager
Accenture.
Workforce Manager Tool
• This included forecasting of work, capacity planning and scheduling of staff to maximize productivity and reduction of cost by FTE savings
• Applied forecasting techniques like Exponential smoothing, ARIMA models, XGBoost and Deep learning methods like LSTM in R& Python
• Optimization of staff using linear programming to maximize productivity
Provider Data Innovation
• Worked on Provider data quality/update for a healthcare major to reduce effort and maximize hit rate for calls made to the provider office which resulted in a savings of 1.3 Million in 2018
• 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
• This included forecasting of work, capacity planning and scheduling of staff to maximize productivity and reduction of cost by FTE savings
• Applied forecasting techniques like Exponential smoothing, ARIMA models, XGBoost and Deep learning methods like LSTM in R& Python
• Optimization of staff using linear programming to maximize productivity
Provider Data Innovation
• Worked on Provider data quality/update for a healthcare major to reduce effort and maximize hit rate for calls made to the provider office which resulted in a savings of 1.3 Million in 2018
• 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
Python, Forecasting, Innovation, Deep learning, R, Analytics, Data quality, Neural networks, Office, Pyspark, Manager
2015 - 2017
job
Data Scientist
Technosoft Global Services.
• 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
• Identified 5-8% charge leakages in overall claims made to insurance companies which were under charged and recommended the appropriate procedure codes to be added using Association rules (apriori algorithm)
• Forecasted payments to be received from Payers in the next 45 days to payout bonuses to providers
• Identified 5-8% charge leakages in overall claims made to insurance companies which were under charged and recommended the appropriate procedure codes to be added using Association rules (apriori algorithm)
• Forecasted payments to be received from Payers in the next 45 days to payout bonuses to providers
Machine learning, Insurance
2011 - 2015
job
Senior Analyst
Tesco.
• Provide insights to stake holders by creating reports and dashboards to make an informed decision
• Automated reports using Excel VBA and SQL to drastically reduce time and effort from four days to one day. Integrated this with an in-house tool named "ATOM"
• Automated reports using Excel VBA and SQL to drastically reduce time and effort from four days to one day. Integrated this with an in-house tool named "ATOM"
Sql, Excel, VBA, Analyst
My education
CMR Institute of Management Studies
Bachelors, Finance
Bachelors, Finance
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