Gokul	 Talele	 	
Lead Data Scientist, Doctoral Researcher at SSBM, Geneva	 	 	
Phone:             	7347278015 / 7798708015	 	 	Address:          	Pune, Maharashtra, India	 	 	LinkedIn:        	https://www.linkedin.com/in/gokul	-talele	 	 	Email:              	deva.talele@gmail.com	 	   
A results	-driven	 Lead	 Data	 Scientist	 with	 a deep	 conceptual	 understanding	 of enterprise	-wide	 analytical	 needs	 and	 expertise	 in  Data	 Mining	 Methods,	 	
Pattern	 Classification,	 Quantitative	 Analysis,	 and	 Data	 Analysis.	 Possessing	 an inquisitive	 and	 analytical mind	 coupled	 with	 creative	 thinking,	 I excel	 in 	
identifying	 patterns	 and	 deriving	 actionable	 insights.	 With	 a customer	-focused  approach,	 I effectively	 manage	 the	 business	 cycle	 process	 from	 client	 	
consultation 	to 	closing	, ensuring	 strategic	 program  planning	 and	 realization	 of business	 benefits.	 Thriving	 in challenging,	 fast	-paced	 environments,	 I 	
bring a	 detail	-oriented attitude,	 organizational	 skills,	 and	 a strong	 track	 record	 of delivering	 results.	 	
EXPERIENCE	 	 
Accenture,	 Pune	 	
Lead Data Scientist	 	
 
 
     	June	 202	1 - Present	
Managed  the  end	-to-end  lifecycle  of  the  AI  Tutor 	project,  from  conception  to  deployment,  ensuring  timely  delivery  and  alignment  with 	
stakeholder requirements.	 	
Led  a  team  in  creating  a  Quiz  AI  system  for  automatic  question  generation  and  answer  extraction,  integrating  it  seamlessly  in	to  the  AI  Tutor 	
platform.	 	
Conducted  data  analysis  to  derive  actionable  insights,  evaluated  model  performance,  and  iterated  on  algorithms  to  improve  eff	ectiveness 	
continuously.	 	
Fostered cross	-functional collaboration and provided technical leadership and 	mentorship to junior data scientists.	 	
Bajaj	 Finserv,	 Pune	 	
Senior Data Scientist	 	
July	 2019	 - June	 2021	
Utilized working knowledge of EDW (SQL), Pyspark, Python, R, Tableau, and Power BI to develop 	advanced analytical solutions. 	 	
Spearheaded 	the 	development of machine learning models for financial fraud detection, leveraging techniques such as	 random forest, gradient 	
boosting machines (GBM), and artificial neural networks (ANN) in Pyspark.	 	
Led the creation of NLP models for data deduplication and customer base analysis, including 	implementing	 techniques like the Locality 	
Sensitive Hashing (LSH) model and similarity scoring in Pyspark.	 	
Developed a propensity model using Pyspark for assessing the risk of customers, enhancing the organization&#039;s ability to mitig	ate potential 	
risks.	 	
Leveraged Azure Databricks as the model development platform, ensuring scalability, reliability, and efficiency in the	 	
development process.	 	
Apollo	 Munich	 Health	 Insurance	 Company	 Ltd.,	 Gurgaon	 	
Associate Manager 	- Analytics	 	
September	 2017	 - June	 2019	
Leveraged  working  knowledge  of  SAS,  SQL,  R,  Python,  Tableau,  and  other  statistical  software  to  identify  opportunities  for  cre	ating  value	-	
added solutions to enhance business operations.	 	
Proactively identified and led initiatives 	to drive business growth and improve	 operational efficiency, demonstrating a strong drive to 	
win and a proactive working attitude.	 	
Standardized and optimized the production of model validation reports, ensuring accuracy, consistency, and efficiency in the 	validation process.	 	
Conducted  hands	-on  reviews  and  validations  of  model  development,  including  examining  model  assumptions,  data  quality,  mathematical 	
formulations, and independently recoding models for validation purposes.	 	
Developed  risk  models  on  claims  data  to  assess  and  mitigate  potential  risks,  contributing  to  improved  decision	-making  and  risk  management 	
strategies.	 	
Designed comorbidity score models for claims handling, providing strategic business insights to management for 	informed	 decision	-making.	 	  
PGIMER, Chandigarh	 	
Senior Research Fellow	 	
April	 2016	 - August	 2017

Developed questionnaire	-based tools for efficient data collection, facilitating comprehensive analysis and insights generation.	 	
Generated tables, listings, and graphs 	by protocols and assigned them to variables in analysis datasets using	 	
R, SPSS, and other relevant tools.	 	
Designed and implemented advanced statistical and predictive models, leveraging cutting	-edge algorithms and diverse data sources to extract 	
actionable insights.	 	
Utilized analytical applications such as SAS, Python, R, and SPSS to identify trends and relationships within datasets, drawi	ng 	
appropriate conclusions and translating findings into actionable recommendations.	 	
Starcom	 Information	 Technology	 Limited,	 Bengaluru	 	
Statistical 	Analyst	 	
July	 2015	 - March	 2016	
Conducted detailed and comprehensive research on various statistical tools, staying abreast of advancements and best practice	s in the field.	 	
Provided in	-depth analysis and 	recommendations on the suitability of different statistical tools for specific analytical tasks and projects.	 	
Developed algorithms for implementation in software applications, ensuring efficient and effective utilization of statistical	 tools for data analysis 	
and modeling.	 	
Collaborated with cross	-functional teams to integrate algorithms into software platforms, optimizing performance and	 	
usability.	 	
Indian	 School	 of Business,	 Hyderabad	 	
Research Associate	 	
November	 2014	 - June	 2015	
Led data cleaning procedures and validation of analysis datasets and reports, ensuring data accuracy and reliability. Analyze	d customer trends to 	
gain insights into underlying data processes.	 	
Utilized SAS, R software, MS Excel, and databases like LexisNexis, ProQuest, and Factiva to work on graphs, frequency distrib	utions, 	the 	
Bass Diffusion model, segment analysis, and survival analysis.	 	
Generated tables, listings, and graphs 	per protocol and assigned them to variables in analysis datasets. Provided data support by extracting 	
data from various data warehouses using SAS.	 	
Conducted quality checks on entered data, cross	-validated generated reports, and generated data files from the Adapt data server. Created SAS 	
datasets from 	the data files.	 	
Designed and managed reporting processes, implementing standardized execution to enhance efficiency and accuracy. Leveraged t	echnology 	
and reporting tools to identify and address potential issues, error	-proofing the system.	 	
Employed cutting	-edge methodologies for data mining and optimized algorithms to summarize and communicate key performance results 	
and practice trends.	 	
Completed coursework for a Doctoral Level Programme in Causal Inference and Scientific Investigation at the Indian School	 	
of Business.	 	
EDUCATION	 	 
Swiss	 School	 of Business	 and	 Management	 	
Doctor of Business Administration, Business Administration and	 	
Management, General	 	
 
 
April	 2021	 - March	 2024	
Liverpool	 John	 Moores	 University	 	
Master&#039;s degree, Data Science	 	
Grade: 6.8/10	 	
 
International	 Institute	 of Information	 Technology	 Bengaluru	 	
Post Graduate Diploma, Data Science	 	
Grade: 3.5/4.0	 	
 
The	 Maharaja	 Sayajirao	 University	 of Baroda	 	
Master&#039;s Degree, Biostatistics	 	
Grade: 64%	 	
 
North	 Maharashtra	 University	 	
Bachelor&#039;s Degree, statistics	 	
Grade: 72%	 	
January	 2019	 - December	 2020	 	   
 
January	 2018	 - December	 2019	 	 
  
 
January	 2012	 - December	 2014	 	  
 
 
January	 2009	 - December	 2012

LANGUAGES	 	 
English	, Hindi	, Marathi	 	
CERTIFICATIONS	 	 
Generative	 AI	 with	 Large	 Language	 Models	 	
DeepLearning.AI, Amazon Web Services	 	
 
 
Artificial	 Intelligence	 and	 Data	 Science	 for	 Leaders	 - Accenture	 	
University of 	Chicago Professional Education	 	
 
 
Northwestern	 University	 101:	 Leading	 with	 Analytics	 	
Kellogg Executive Education	 	
 	
 
 
February	 2024	 - Present	 	 
  
 	
October	 2022	 	
   
 	
September	 2022	
PUBLICATIONS	 	 
Lung	 Cancer	 Detection	 and	 Recognition	 using	 Deep	 Learning	 	
Mechanisms	 for	 Healthcare	 in IoT	 Environment	 	
International Journal of Intelligent Systems and Applications in	 	
Engineering	 	
 
 
Cost	 optimization	 in CNN	 for	 big	 data	 of share	 price	 	
AIP Conference 	Proceedings	 	
 	
 
 	
January	 2024	 	 
   
  
 
November	 2023