Amarsinh Patil

More than 3.4+yrs of experience in Data Science, now seeking a challenging position to utilize my
skills and abilities that offers professional &amp organizational growth, while being resourceful and
innovative.

Project 1 : Identify & deny Fraudulence in auto insurance sector.

Description :

· Built fraud detecting models using multiple tweakable methods and achieve best model which will have good recall value without affecting the precision.

· This indirectly lowered the client’s extra cost of incident investigation.

Project 2 : Toxic Comments Analysis

Description :

· To provide a Toxic Comment analysis for users comments, that may be helpful to analyze hidden toxic level of comments, which are highly impacted to social media.

· Classify each comment according to toxic level of comments and give output to the client .

Project 3 : Chronic Kidney Disease Prediction

Description :

· Extracted the required information from client's provided documents and converted it into usable format.

· Used that data to build machine learning algorithms to predict the best required results where we mainly focused on f1 score.

· Perform analysis of results and refine models.

 DOB : 13/12/1989
 Hobbies : Playing Volleyball, Reading History, Swimming, share market trading
 Marital Status : Married
 Languages Known : English, Hindi, Marathi
 Achievements : Participated And Organized Volleyball Tournament

-Identify valuable data sources and automate collection processes

- Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns

- Build predictive models and machine-learning algorithms Combine models through ensemble modeling

-Present information using data visualization techniques Propose solutions and strategies to business challenges

- Collaborate with engineering and product development teams

Project 1 : Identify & deny Fraudulence in auto insurance sector.

Description :

· Built fraud detecting models using multiple tweakable methods and achieve best model which will have good recall value without affecting the precision.

· This indirectly lowered the client’s extra cost of incident investigation.

Project 2 : Toxic Comments Analysis

Description :

· To provide a Toxic Comment analysis for users comments, that may be helpful to analyze hidden toxic level of comments, which are highly impacted to social media.

· Classify each comment according to toxic level of comments and give output to the client .

Project 3 : Chronic Kidney Disease Prediction

Description :

· Extracted the required information from client's provided documents and converted it into usable format.

· Used that data to build machine learning algorithms to predict the best required results where we mainly focused on f1 score.

· Perform analysis of results and refine models.

 DOB : 13/12/1989
 Hobbies : Playing Volleyball, Reading History, Swimming, share market trading
 Marital Status : Married
 Languages Known : English, Hindi, Marathi
 Achievements : Participated And Organized Volleyball Tournament

-Identify valuable data sources and automate collection processes

- Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns

- Build predictive models and machine-learning algorithms Combine models through ensemble modeling

-Present information using data visualization techniques Propose solutions and strategies to business challenges

- Collaborate with engineering and product development teams