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PROFILE SUMMARY	 	     	        	PROFESSIONAL EXPERIENCE	 	
 	
&bull; 	6.5+  YoE	 	in  Data  Science  roles  across 	
industries.	 	
&bull; 	Thorough  understanding  of  Data  Science 
tools, techniques and technologies in Machine 
Learning,	 Deep  Learning,  Natural  Language 	
Processing	 	(NLP)	 	Using	 	Python,  R	 	
programming.	 	
&bull; 	Thorough  understanding  of  algorithms  like 
Regression, 	Classification,	 	Clustering, 	
Forecasting,  Anomaly  Detection,	 Time  series 	
Modelling etc.	 	
&bull; 	Sound  knowledge  of  deployment  using  Git, 
Docker, Jenkins, 	Kubernetes, OpenShift	. 	
&bull; 	Sound knowledge of Azure Machine Learning 
Studio,  AWS  (Amazon  Web  Services)  AI	-ML 	
Services.	 	
&bull; 	Extract	ed	 usable  data  from  valuable  data 	
sources	. 	
&bull; 	Carr	ied	 out  preprocessing  of  structured  and 	
unstructured data	. 	
&bull; 	Analyz	ed	 large amounts of information to find 	
patterns and solutions.	 	
&bull; 	Developed  prediction  systems  and  machine 
learning algorithms.	 	
&bull; 	Propose	d solutions  and  strategies  to  tackle 	
business challenges.	 	
 	
   	
&bull; 	Total 1	4+ 	YoE	. 	
&bull; 	6.5+	 YoE	 in Analytics, Machine Learning, Data 	
Science.	 	
&bull; 	7.8 YoE	 in Academics.	 	
 	
      	DATA SCIENTIST	 	
&bull; 	Data Scientist at 	Wipro	, Pune Since 	Mar	 202	2 &ndash; 	
Till date	 	
&bull; 	Data  Scientist  at  Equations  Work  IT  Services 
Pvt. Ltd., Pune Since Sept 2020 	to Feb 2022	 	
&bull; 	Data Scientist at Cloudmantra, Pune since Mar 
2020 to Sept 2020	 	
&bull; 	Data Scientist at Open Insights, Pune since Aug 
2019 to Feb 2020.	 	
&bull; 	Data  Scientist  at  TorcAI  Digital  Media  Private 
Limited, Pune since Feb 2019 to Jul 2019	 	
&bull; 	Data  Analyst  at  Findability  Sciences, 
Aurangabad since Jan 2018 to Jan 2019.	 	
       	 	
      	ACADEMICS	 	
&bull; 	7.8+  YoE	 Teaching 	experience  as  assistant 	
professor  in  engineering  colleges  since  Aug 
2009 to Mar 2017	 	
 	
EDUCATIONAL QUALIFICATION	 	     	PROGRAMMING SKILLS &amp; TOOLS	 	
 	
&bull; 	PGP	-2018	 	in  Data  Science,  Business 	
Analytics &amp; Big Data in association with IBM	 	
from  Aegis  School  o	f Data  Science	, Cyber	 	
Security	 &amp; Tele	communicati	on	,  Mumbai 	
(M.H.)	 	
&bull; 	M.Tech.	-2014	 from  university:  B.U.  Bhopal 	
(M.P.) with 73%	 	
&bull; 	PGDIT	-2008	 	from  Indian  Institute  of 	
Technology,  Kharagpur  (W.B.)  with  6.67 
CGPA.	 	
&bull; 	B.E.	-2006	 from  University:  R.G.P.V.  Bhopal 	
(M.P.) with 73.16%	 	
 	
&bull; 	Programming Languages:	 Python	, R  	
&bull; 	Software Tools/Technologies:	 Machine Learning, 	
Deep  Learning,  Natural  Language  Processing 
(NLP), AWS 	AI-ML, Azure 	 Machine Learning	 	
&bull; 	Databases:	 MySQL, PostgreSQL	, Db2	 	
&bull; 	Operating System:	 Windows, Linux/Unix	 	
&bull; 	Authoring Tools:	 Microsoft Office, Open Office	 	
&bull; 	BI Tools/ Data Reporting 	Tool:	 Qlik Sense	 	
&bull; 	Version Control:	 GIT	 	
&bull; 	Model Deployment Tool:	 Heroku, AWS, Azure	 	
&bull; 	Cloud platform:	 IBM	, AWS, Azure	, GCP	 	
&bull; 	Project 	M	anagement 	Too	l: Jira, 	GitHub	 	
 	
Amit Jain	 	
Data Scientist	 	
  amitjain2110@gmail.com	 	
linkedin.com/in/amit	-jain	-83292740/	 	
  youTube/amit	-jain	 	
  github.com/amitjain2110	 	
 917	9982256

Public	 	
WIPRO	 PROJECTS	: 	
 
Project Title: 	Space Insights	 	
Project Profile: 	To Build AI model to predict about Ideal sharing ratio	. 	
Roles &amp; Responsibility: 	 	
a. Analysis to build a machine learning model for Ideal sharing ratio.	 	
Tools/Technologies used:	 Python, 	IBM Maximo Monitor	 	
 
Project Title: 	Tririga Building	 Insights	 	
Project Profile: 	To Build	 AI model for 	TBI.	 	
Roles &amp; Responsibility: 	 	
    	a. 	Create Anomaly detection model and other AI models for 	OpenShift	 Platform (OCP)	 	
    	b.  	Successful transition of project from Kubernetes to 	OpenShift	 Platform	 in IBM Cloud	 	
    	c.     	PostgreSQL to Db2 migration  	 	
    	d.  	Installation of modules like IoT, cp4d(WML), 	Monitor etc.	 	
    	e.  	Responsible to run security Scan (Static, Dynamic, 	white source	, mend, PVR, 	twist lock	) 	
 Tools/Technologies used: 	Python, Machine Learning, IBM Maximo Monitor	, IBM 	Cloud,	 Openshift Cluster,  	 	
                                            	Kubernetes	 	
 
EQUATIONS WORK PROJECTS:	 	
 
Project Title:	 Sales forecasting and Demand Forecasting	 	
Project Profile:	 To forecast the sales and revenue of e	-commerce company.	 	
Roles &amp; Responsibility: 	 	
a. Build the model using LSTM Time Series	 Modelling.	 	
Tools/Technologies used:	 Python, Azure 	Machine Learning	 	
 
Project Title:	 Prediction of Motor Speed &amp; temperature 	 	
Project Profile:	 To predict the temperature and deployed it using Power platform.	 	
Roles &amp; Responsibility: 	 	
    	a.  	End to end model creation &amp; deployment	 	
    	b.  	Build the model using 	Random Forest	 regression	 and XGBoost 	regression.	 	
    	c.  	Enabled to run the project in Azure Power Platform.	 	
Tools/Technologies used:	 Python, Azure Machine	 Learning Studio, Power App, Power Automate	 	
 
Project Title:	 Prediction /Analysis of Horse Race	 	
Project Profile: 	 	
a. To predict which horse will win the race.	 Also, 	decide	 the position of all the horses.	 	
Roles &amp; Responsibility: 	 	
a. 	Responsible for prediction 	of result 	using 	Random 	Forest	 classification	, XGBoost	 classification	 and ANN 	    	
classification	 model.	 	
    	b.  	Requirement collection from client.	 	
    	c.  	Schedule and planning for project execution. 	 	
Tools/Technologies used:	 Python, Machine 	learning	 	
 
Project Title:	 Text summarization of audit files	 	
Project Profile:	 To read text from 	audit 	reports	(pdf	) and	 summari	ze	 text	 report	. 	
Roles &amp; Responsibility: 	 	
    	a. 	Responsible for text extraction	 using AWS Textract 	and summarization	 using BERT	 library	. 	
    	b.  	 Requirement collection and deployment.	 	
Tools/Technologies used:	 Python, NLP, A	mazon	 Machine learning, AWS Textract, 	Amazon S3, 	Git, Docker, 	  	
       	Jenkins

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CLOUDMATRA	 PROJECTS	: 	
 
Project Title:	 Specific text extraction of audit reports 	 	
Project Profile	: To extract specific text and its 	related	 data with units from audit reports and publish &amp; analyze	. 	
Roles &amp; Responsibility: 	 	
   a. 	Responsible for text extraction using AWS	 Textract	. 	
   b. 	Discussion with project planning team	 	
Tools/Technologies used:	 Python, NLP, A	mazon 	Machine 	Learning	, A	mazon	 SageMaker, AWS Textract, A	mazon	   	
       	Comprehend	 	
 
OPEN INSIGHTS	 PROJECTS	: 	
 
Project Title:	 BIFE 	- Banking Intension Fulfillment	 Engine (CLTV Module)	 	
Project Profile:	 To predict customer lifetime value,	 the amount of revenues that you 	expect to generate	 from a 	  	
  customer during the period over which	 your service will be of value. 	 	
Roles &amp; Responsibility:	 	
    	a. 	Responsible for developing software.	 	
    	b. 	Wrote down test cases for checking the	 functionality of various 	functions.	 	
Tools/Technologies used:	 Python, Machine 	learning	 	
 
TORCAI	 PROJECTS	: 	
 
Project Title:	 Zirca Campaign	 	
Project Profile:	 To collect advertiser campaign	 information based on 	distinctive features	 performance to predict 	  	
                         	and	 recommend	 blacklist &amp; whitelist values.	 	
Roles &amp; Responsibility: 	 	
a. Responsible for collecting	 data 	using Spark 	and analysis	 data using keywords and 	based on	 result create 	
blacklisted and whitelisted features	. 	
Tools/Technologies used	: Spark, Scala	 	
 
FINDABILITY SCIENCES	 PROJECTS	: 	
 
Project Title:	 Ajinomoto Price prediction	 	
Project Profile:	  To predict the price of product	 after every week, after 1 month, 	after 2 months and after 3 	  	
                           	months	 value.	 	
Roles &amp; Responsibility: 	 	
a. Build the model using 	Linear, 	Random Forest	 regression 	and XGBoost regression.	 	
b. Responsible for EDA, deliver insights and	 prediction result.	 	
Tools/Technologies used:	 R - Programming	, Machine learning	 	
 
Project Title:	 Net promotor score 	 	
Project Profile:	 Classification of user sentiment for various telecom plans. 	 	
Roles &amp; Responsibility: 	 	
a. 	Build the model using 	Logistics regression, 	Random Forest	 classification	 and 	Na&iuml;ve Bayes	 classification.	 	
b. 	Responsible for predicting classification report.	 	
c. 	Responsible for EDA, deliver insights and prediction result.	 	
Tools/Technologies used:	 R - Programming	, Machine 	Learning