1. Kushal Pal Singh
Raj Nagar sec 23 ,
Ghaziabad,
UP
C:
+91-9987751517
E:
kps678304@gmail.com
PROFESSIONAL SUMMARY
I have 3+ years experience in Data Science. Currently, I am working with Geospatial Data
Analytics Pvt ltd as Data Scientist. In my present company I am working on Geospatial Image
processing. Prior to This, I was working with Capgemini India Pvt Ltd for 2 years as Senior
Analyst.
Analytics Skills
Python:Numpy, Pandas,scikit-learn,
tensorflow , OpenCV
R: caret, tm, mlr
UNderstanding of :- Machine Learning,
Recommendation Systems, Natural
Language Processing, Image processing,
Data Analytics, Statistics, RPA,
segmentation, cross sell, up sell, churn model
Web Designing on Flask
Database Skills
Tabular database: SQL, mySQL, csv, Excel
Big Data: Mapreduce
Hive
Spark
MongoDB
Amazon S2 cloud
WORK HISTORY/PROJECTS
Satellite Image Processing
Geospatial Data Analytics Pvt Ltd (Priorly known as Mzaya pvt ltd.) 06/2018 – Current
● Designed and developed "Image color restoration system" to convert gray-scale image
to RGB image by openCV Technologies used: python, openCV.
● Deasinged and developed "Cloud fill system" to replace and provide the data for
the places covered with cloud. Technologies used: python, NLP.
● Handling Satellite image processing data and harmonizing all the inputs from different
space stations to give uniform data. Technologies used: python, mongoDB, Amazon S2
cloud, Ubuntu
● Created a “web based dropbox” for internal usage of company. Technologies used:
Flask
Fraud Analytics for NSE 12/2017 - 05/2018
Mzaya Pvt Ltd – Mumbai Maharashtra
NSE
● On client location. High interaction with clients for creating the Algorithms smoother.
● Implemented fraud models like Circular Trading, Front Running, Insider Trading,
Marking the Close,Pump & Dump, Sync Trades, Reversal and Wash Sales along with
Predictive models at Scrip/Suspect level. Technologies used:- R, SQL
Asset Management Partner
2. ● Worked on Analytical Customer Relationship Management. Implemented Customer
Segmentation(K-MEANS), Attrition Model (LOGISTIC) ,Cross sell models (Association
Rules) Technologies used:- R, SQL
Senior Analyst at Capgemini 9/2015 – 12/2017
● Daily interaction with clients for requirement gathering and task planning.
● Data collection from Google analytics, Webtrends through API and harmonization to
convert it into usable format.
● Data visualization to enable imperative-parameter selection stage Aligning with the
business our pre-modeling hypotheses Model building for statistical based approach for
insights and recommendations
● Worked on Analytical Customer Relationship Management. Implemented Customer
Segmentation(K-MEANS), Cross sell models (Association Rules).
● A-B Testing for improvement of website.
● Converting the algorithmic proof of concepts into business requirement documents for
content development.
● Integrated RPA with a classifier algorithm for "Ticket Auto Assignment" which
assigns(classifies) the ticket to the appropriate team based on the ticket description.
Technologies Used: Python, RPA.
● Created presentation and provided demo of the prototypes/applications built to senior
management, Leadership and incorporated the feedback.
EDUCATION
B.E in Computer Science from University of Pune (2015)
