Post Graduate Diploma in Big data analytics and Bachelor of Technology in Information Technology . I am open to job opportunities .
SKILLS
Programming languages : Python , Java , R
Databases : Mongodb , SQL
Data Visualization : Tableau
Big Data : Hadoop , Apache spark
Machine Learning : Sklearn , PCA ,Cosine similarity matrix
Cloud : Docker , Container , AWS, Heroku
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Experience
➔ Work Area :- Targeted Marketing using Machine
Learning
➔ Build Product Recommendation system to present
items to each customer according to their taste
and purchasing pattern
➔ Data ingested from mongodb and converted to
pandas dataframe
➔ Performed data cleansing and data validation
using pandas followed by data munging to fit in
surprise lib framework
➔ Using surprise lib created a similarity matrix and
multiplied by frequency of items purchased in the
whole month and stored in mongodb. Created api
in flask .Deployed in IIS server and Docker.
➔ Work Area :- CRM and Digital Marketing
➔ Marketing Budget Allocation Module :- Objective
was to allocate money for marketing (offers , flash
deals ,wallet points etc.)
➔ Called api of customer masters , decrypted data
using aes256 , divided customers in 5 levels on
parameters further divided level in
Promotion,Consistent and Retention
➔ Target Module :- Goal was to increase number of
customers in all levels by setting target on
monthly purchase
➔ Achieved 50% ,22 %, 18% , 10% ,7 % increase in
customers in L5,L4,L3,L2,L1 respectively.
➔ App login pattern :- objective was to increase the
frequency of customers coming into our platform
(monthly) using data .
➔ Work Area :- Graphs and Analytics
➔ Prepared interactive graphs and dashboard in
tableau for visualization and analysis for
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Projects
https://github.com/ANKITKISLAYA