The document discusses how blockchain and data science can be used together. It provides examples of how blockchain and data analytics could be applied in healthcare, governance, and banking sectors. Specifically, it shows how blockchain could serve as an immutable digital ledger to record and analyze patient medical records over time, property transaction records for governance, and banking transaction histories. Charts are also included to analyze and visualize some of the data, such as distributions of patient ages and accident locations.

1. Blockchain & Data Science
Modern way to Manage and Analyse Data

2. What is Common in both?
Blockchain
Data
Science
Data

3. 2000
Entry Government Office Main Office

4. 2010
Entry Government Office Main Office

5. 2021
Entry Government Office Main Office

6. What is the reason that we are
still using ledger ?

7. Security

8. Data Loss

9. Blockchain
• Decentralized
• Distributed
• Digital ledger
• Immutable

10. Blockchain Works
Block 1 Block2 Block3 ………. Block n
Property Info Property Info Property Info Property Info
Pname: ABC
Pnumber: 007
Bname: Siddhesh
Bdate:dd/mm/yyyy
Etc.
Ptype:TYC
Key: asd##567yu&&
Key: asd##567yu&&
Pname: ABC
Pnumber: 007
Ptype:TYC
Bname: Raju
Bdate:dd/mm/yyyy
Etc.
Key: kjhyu$$##@@e#

11. Data Science
Reference: https://www.kdnuggets.com/2020/08/top-10-lists-data-science.html

12. How Blockchain and data science works???

13. B & DS Example in Healthcare
Block 1 Block 3
Block 2
pname : Raju kumar
pAge : 20
pId : 1234 34567 56
paddress :
roomno.10,plot.3,bhyculla
pDisease : No
paccident : Yes
accident_type : Road accident
accident_area : Mahim
pinjuries : 2
padmitdate : 02/01/2000
pdischarge : 05/03/2000
phospital : k.m hospital
pdoctor : Dr.M.T.Yadav
##asd$fg$234%%&&
pname : Raju kumar
pAge : 25
pId : 1234 34567 56
paddress : roomno.10,plot.3,
bhyculla.
pDisease : Yes
pDisease_type : fever,omitting
pbodytemp: 110
pbloodpressure : 98
paccident : No
pinjuries : No
padmitdate : 05/03/2005
pdischarge : 02/04/2005
phospital : J.J hospital
pdoctor : Dr.T.T.Ghandi
%%7e3r$$$t7&&fg@h
pname : Raju kumar
pAge : 28
pId : 1234 34567 56
paddress : roomno.10,plot.3,
bhyculla
pDisease : No
paccident : Yes
accident_type : Road accident
accident_area : Kurla
pinjuries : 2
facture: Yes
num_facture : 1
facture_loc : left hand
padmitdate : 10/01/2010
pdischarge : 25/05/2010
phospital : Tilak hospital
pdoctor : Dr.V.T.Gurav
##asd$fg$234%%&& %%7e3r$$$t7&&fg@h &kl&24%%fgh#rt#34

14. B & DS Example in Healthcare
Block 1 Block 3
Block 2
pname :Sham shetty
pAge : 20
pId : 098 7654 321
paddress : roomno.5,plot.8,dadar
pDisease : No
paccident : Yes
accident_type : Road accident
accident_area : Mahim
pinjuries : 3
padmitdate : 02/01/2000
pdischarge : 05/03/2000
phospital : k.m hospital
pdoctor : Dr.M.T.Yadav
%%op3r###t7&&fg@h
pname : sham shetty
pAge : 32
pId : 098 7654 321
paddress : roomno.5,plot.8,
dadar
pDisease : Yes
pDisease_type : fever,omitting
pbodytemp: 110
pbloodpressure : 98
paccident : No
pinjuries : No
padmitdate : 05/03/2012
pdischarge : 02/04/2012
phospital : J.J hospital
pdoctor : Dr.T.T.Ghandi
##234 $fg$asd%%&&
pname : Sham shetty
pAge : 30
pId : 098 7654 321
paddress : roomno.5,plot.8,
dadar
pDisease : No
paccident : Yes
accident_type : Road accident
accident_area : Kurla
pinjuries : 2
facture: Yes
num_facture : 1
facture_loc : left hand
padmitdate : 10/01/2010
pdischarge : 25/05/2010
phospital : Tilak hospital
pdoctor : Dr.V.T.Gurav
##234 $fg$asd%%&& %%op3r###t7&&fg@h &47&uh%%fg0#rt#3i

15. Data file
Pname Page Pid Paddress Pdsisease Pdiseasetype pbodytemp pBloodpresure pacident accidenttype accident_area pinjuries facture num_facture facture_loc padmit pdischarge phospital pdoctor
Raju kumar 201234 34567 56 roomno.10,plot.3,bhyculla no nan nan nan yes road accident mahim 2 02-01-2000 05-03-2000km hospital Dr.M.T.Yadav
Raju kumar 251234 34567 56 roomno.10,plot.3,bhyculla yes fever,omittimg 110 98no nan nan nan 05-03-2005 02-04-2005jj hospital Dr.T.T.ghndhi
Raju kumar 281234 34567 56 roomno.10,plot.3,bhyculla no nan nan nan yes road accident kurla 2yes 1left hand 10-01-2010 25-05-2010Tilak hospital Dr.V.T Gurav
sham shetty 20098 7654 321 roomno.5,plot.3,dadar no nan nan nan yes road accident mahim 3no 0nan 05-03-2005 02-04-2005Tilak hospital Dr.D.D.chavan
sham shetty 30098 7654 321 roomno.5,plot.3,dadar no nan nan nan yes road accident mahim 3no 0nan 02-01-2000 05-03-2000km hospital Dr. M.T.Yadav
sham shetty 32098 7654 321 roomno.5,plot.3,dadar yes omitting 110 98no nan nan nan no 0nan 05-03-2012 02-04-2012jj hospital Dr.T.T.ghndhi
depandra 19876 6787 123 rno.2,runwal colony,mankhurd no nan nan nan yes bike accident mahim 2yes 1left leg 05-03-2005 02-04-2005km hospital Dr.F.H.khan
kunal menon 20765 4456 468 roomno.10,plot.19,chembur yes fever,omittimg 100 76no nan nan nan no 0nan 10-01-2010 25-05-2010jj hospital Dr.husain
ganesh bhide 30800 9876 609 roomno.9,kalina center,kalina no nan nan nan yes car accident kurla 4no 0nan 05-03-2012 02-04-2012km hospital Dr.khanna
niraj kanojia 22123 4321 678 roomno.7,raheja,chembur no nan nan nan yes bike accident mahim 2no 0nan 10-01-2010 25-05-2010Tilak hospital Dr.D.D.chavan
hussain modh 32766 1234 942 roomno.8,neelkamal,chembur no nan nan nan yes bike accident kurla 2yes 1left leg 10-01-2010 25-05-2010km hospital Dr.husain
kumar varun 201234 34567 56 rno.2,runwal colony,mankhurd no nan nan nan yes road accident mahim 2 02-01-2000 05-03-2000km hospital Dr.M.T.Yadav
panchal adarsh 251234 34567 56 roomno.10,plot.19,chembur yes fever,omittimg 110 98no nan nan nan 05-03-2005 02-04-2005jj hospital Dr.T.T.ghndhi
venu kumo 281234 34567 56 roomno.9,kalina center,kalina no nan nan nan yes road accident kurla 2yes 1left hand 10-01-2010 25-05-2010Tilak hospital Dr.V.T Gurav
balambal 20098 7654 321 roomno.7,raheja,chembur no nan nan nan yes road accident mahim 3no 0nan 05-03-2005 02-04-2005Tilak hospital Dr.D.D.chavan
venkatesh kumar 30098 7654 321 roomno.8,neelkamal,chembur no nan nan nan yes road accident mahim 3no 0nan 02-01-2000 05-03-2000km hospital Dr. M.T.Yadav
pushpa yadav 32098 7654 321 roomno.10,plot.3,bhyculla yes omitting 110 98no nan nan nan no 0nan 05-03-2012 02-04-2012jj hospital Dr.T.T.ghndhi
anju puthanpyal 19876 6787 123 roomno.10,plot.3,bhyculla no nan nan nan yes bike accident mahim 2yes 1left leg 05-03-2005 02-04-2005km hospital Dr.F.H.khan
vismaya vasantan 20765 4456 468 roomno.5,plot.3,dadar yes fever,omittimg 100 76no nan nan nan no 0nan 10-01-2010 25-05-2010jj hospital Dr.husain
kumar raju 30800 9876 609 roomno.5,plot.3,dadar no nan nan nan yes car accident kurla 4no 0nan 05-03-2012 02-04-2012km hospital Dr.khanna
ganeshnaik 22123 4321 678 roomno.5,plot.3,dadar no nan nan nan yes bike accident mahim 2no 0nan 10-01-2010 25-05-2010Tilak hospital Dr.D.D.chavan
aniket dhamal 32766 1234 942 roomno.10,plot.19,chembur no nan nan nan yes bike accident kurla 2yes 1left leg 10-01-2010 25-05-2010km hospital Dr.husain

16. Some Insights
0
5
10
15
20
25
30
35
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
Age
0
2
4
6
8
10
12
14
kurla mahim nan
Sum of pacident by accident_area
0
50
100
150
200
250
bike accident car accident nan road accident
Sum of Page by accidenttype

17. B & DS Example in Governance
Block 1 Block2 Block3 Block 4
Property Info Property Info Property Info Property Info
Pname: ABC
Pnumber: 007
Bname: Siddhesh
Bdate:01/01/2018
Ptype:2BHK
Key: asd##567yu&&
Key: asd##567yu&&
Pname: ABC
Pnumber: 007
Ptype:2BHK
Bname:Raju
Bdate:15/01/2018
Key: kjhyu$$##@@e#
Key: kjhyu$$##@@e#
Pname: ABC
Pnumber: 007
Ptype:2BHK
Bname: Sham
Bdate:27/01/2018
Key: optu##5674tg@w
Key: optu##5674tg@w
Pname: ABC
Pnumber: 007
Ptype:2BHK
Bname: Anuradha
Bdate:10/02/2018
Key: fvn##967yu$$
Price:1000000 Price:1500000 Price:2000000 Price:2500000

18. Excel File
Pname Pnumber Ptype Bname Bdate price Bnumber plotregiestry plotarea actvities yearofbuild buildername registryoff
ABC 72BHK siddhesh 01-01-2018 1000000 2121done good nan 2017shan& company 400022
ABC 72BHK raju 15-01-2018 2000000 2121done good nan 2017shan& company 400022
ABC 72BHK sham 27-01-2018 2500000 2121done good nan 2017shan& company 400022
ABC 72BHK anuradha 10-02-2018 3000000 2121nan good nan 2017shan& company 400022
ABC 72BHK kalin 24-02-2018 3500000 2121done good nan 2017shan& company 400022
ABC 72BHK jadhav 10-03-2018 4000000 2121done good nan 2017shan& company 400022
ABC 72BHK venkatesh 24-03-2018 4500000 2121done good 1 2017shan& company 400022
ABC 72BHK ritesh 07-04-2018 5000000 2121done good 1 2017shan& company 400022
ABC 72BHK aniket 21-04-2018 5500000 2121done good nan 2017shan& company 400022
ABC 72BHK mayur 05-05-2018 6000000 2121done good nan 2017shan& company 400022
ABC 72BHK jayesh 19-05-2018 6500000 2121done good nan 2017shan& company 400022
ABC 72BHK smita 02-06-2018 7000000 2121done good nan 2017shan& company 400022
ABC 72BHK patel 16-06-2018 7500000 2121done good nan 2017shan& company 400022
ABC 72BHK yadav 30-06-2018 8000000 2121done good nan 2017shan& company 400022
ABC 72BHK singh 14-07-2018 8500000 2121done good nan 2017shan& company 400022
ABC 72BHK dabolkar 28-07-2018 9000000 2121done good nan 2017shan& company 400022
ABC 72BHK shinde 11-08-2018 9500000 2121done good nan 2017shan& company 400022
ABC 72BHK khan 25-08-2018 10000000 2121done good 1 2017shan& company 400022

19. Some Insights
0
2000000
4000000
6000000
8000000
10000000
12000000
price
price
0
1000000
2000000
3000000
4000000
5000000
6000000
7000000
8000000
9000000
10000000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
price

20. B & DS Example in Banking
name : raju yadav
bankname : ABC
account_no. 2345 6890 9908
account_type : single
account_catogery : savings
transactionID : 001 0222 98
transactionDate : 01/02/2001
transcationamount : 3,000
transcationtype : credit
transcationtoacc : 9876 5678 8895
transcationbankname : XYZ
balance : 3,00,000
##4521$$55589
name : raju yadav
bankname : ABC
account_no. 2345 6890 9908
account_type : single
account_catogery : savings
transactionID : 001 0222 98
transactionDate : 01/02/2001
transcationamount : 3,000
transcationtype : credit
transcationtoacc : 2233 5698 0897
transcationbankname : XYZ
balance : 3,00,000
%#4136%$77809
name : raju yadav
bankname : ABC
account_no. 2345 6890 9908
account_type : single
account_catogery : savings
transactionID : 001 0222 98
transactionDate : 01/02/2001
transcationamount : 3,000
transcationtype : credit
transcationtoacc : 111 5628 0805
transcationbankname : XYZ
balance : 3,00,000
name : raju yadav
bankname : ABC
account_no. 2345 6890 9908
account_type : single
account_catogery : savings
transactionID : 001 0222 98
transactionDate : 01/02/2001
transcationamount : 3,000
transcationtype : credit
transcationtoacc : 9876 5678 8895
transcationbankname : XYZ
balance : 3,00,000
##4521$$55589 %#4136%$77809 &#4&36%$778&0 %#4&46%$7&&21
Block 1 Block2 Block3 Block4

21. Storage Of Data in cloud
Very Expensive

22. Pilot project
• Launched by Storj and other decentralized data storage providers.
• Saves 90% of cost compared to AWS.

23. Big Data Implementation

24. Two main demands of Big Data analysis
• Blockchain-generated Big Data is secure, as it cannot be forged due to
the network architecture.
• Blockchain-based Big Data is valuable, meaning it is structured,
abundant and complete, making it a perfect source for further analysis.

25. Advantages
• Enables Data Traceability
• Makes Real-Time Analysis Possible
• Guarantees Data Quality
• Makes Data Sharing Easier
• Ensures Trust
• Improves Data Integrity
• Encoded transactions
• Data lakes

26. Disadvantages
• High Computational Power
• Complex Algorithms
• High Maintenance
• Immutable
• Implementation in huge sector
• Cost Factor

27. Facts
• India accounted only for about 2 per cent of all the blockchain start-
ups, globally.
• The lack of knowledge and understanding are the primary challenges
in the adoption and growth of blockchain technology.
• Many more.

28. We can say
Blockchain and Data Science are a match made in heavens.

29. One Question?
Who will be the first to provide the most suitable and best trained AI/machine
learning model operating on top of distributed, transparent and immutable
blockchain-generated data layers.