Data Project
Resume:
Janaki Ram
Certified Data Scientist
As I am fresher I don’t have any experience in Data scientist. But I have done two data science projects for MNC clients in Datamites. Well versed with predictive modelling, data processing, and data mining algorithms to solve challenging business problems. Academics
Aug’13 -
April’15
PUC
Rajiv Gandhi University of Knowledge Technologies
I completed my puc with 7.63 cgpa.
Aug’15 –
May’19
B.Tech in Electronics and Communication
Rajiv Gandhi University of Knowledge Technologies
I completed my B.Tech with 7.1 cgpa.
Certifications and Awards
Nov’19
Certified Data Scientist
International Association of Business Analytics (IABAC) Page 1
Personal Information
*********@*****.***
Phone
Technical Skills
Python, Numpy, Pandas,
Sklearn
Expert
SQL
Advanced
Data Visualization, Tableau,
Matplotlib
Advanced
Machine Learning Modeling
Advanced
Statistics, EDA
Advanced
Deep Learning, CNN
Intermediate
Soft Skills
Problem Solving, Critical Thinking
Expert
Creative and Interpersonal Skills
Expert
JanakiRam
Certified Data Scientist
Other details
Marital Status:
UnMarried.
Address:
Kudlu village, Muneswaram
Layout, Bengaluru – 560103
Karnataka
Projects Annexure
Sep’19 to
Oct’19
Project : Telecom Churn rate calculation
Client: One of the major Telecom Client of Rubixe
Project Description: Client of Rubixe is an established Telecom operator in Europe with more than a decade in Business. Due to new players in the Market, telecom industry has become very competitive and retaining customers becoming challenge.
JanakiRam’s Contribution: JanakiRam is accountable for the project delivery. He worked with client in defining clear business problem and with delivery team in understanding the variables that influencing the customers to migrate to competitors, modelling ML – algorithm XGBOOST, model evaluation and deployment.
Aug’19 to
Sep’19
Project : Customer Credit Score - banking
Client: One of the Banking Client of Rubixe
Project Description: Client of Rubixe is a major banking client in India . The project goal is to calculate customer credit score and, which is then used for asset risk management and risk modelling of the asset portfolio.
JanakiRam’s Contribution: JanakiRam worked in Machine Learning modelling and evaluation from exploratory data analysis
(EDA), feature engineering, model building and evaluation. Customer Enquiry Data contains customer’s historical enquiry data such as enquiry amount and enquiry purpose and Demographics Data contains current customer applications with demographic data. This project required significant data cleaning and transformation. Model is successfully delivered to the client. Deployment is out of the scope.
July’19 to
aug’19
Project : ITSM Incident Management ML Project
Client: IT services company in Netherlands, Client of Rubixe Project Description: Predict ticket volume, auto categorizing ticket.
JanakiRam’s Contribution: JanakiRam was involved from initial discussion of this project till the final delivery. JanakiRam lead the initial data extraction and preparation phase with other other junior colleagues. There was challenges with data, as there were significant wrong entries and human biases were present
(about 30%). JanakiRam used ITSM knowledge with data science technique to transform the data, used XGBOOST to create classifier with 92% accuracy. Project was successfully delivered and deployed at client location.
Page 2
Interests
Watching Movies
Playing Games
Travelling
Languages
English
Advanced
Telugu
Expert
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