Summary
Overview
Work History
Education
Skills
Certification
Interests
Timeline
OperationsManager

KULDIP SAHNI

Data Scientist
Tokyo

Summary

Result-driven Data Science professional experienced in working with vast datasets to break down information, gather relevant insights and solve complex business problems. Skilled in data mining, recommendation engines, predictive modeling, clustering; with strong project management, architecture design, presentation, collaboration & stakeholders management skills.

Overview

10
10
years of professional experience
6
6
years of post-secondary education
2
2
Certificates
3
3
Languages

Work History

Data Scientist

Rakuten Institute of Technology, Rakuten Inc.
Tokyo
08.2021 - Current

Maximizing the shopping experience of end-users through personalized email promotions & reduced noise in the inbox.

Product: Email Content Recommender System

Designed & implemented a personalized content recommender engine for Email Campaigns from scratch. Created architecture design, implemented ETL pipeline & deployed the trained model on production within a strict timeline.


Product: Customer Segmentation Engine

Contributed to the Customer Segmentation solution, developed to reduce the number of emails sent to each user & hence improve customer engagement. Reduced email sent count drastically by ~50%, while maintaining the sales revenue figures.


Project: Weather Impact Analysis

Proactively proposed & executed a detailed PoC work focused on identifying the relation between weather conditions & users-reaction to Email campaigns. Gained affirmative insights by using the weather features in the open rate prediction models.

Data Scientist

Data Science Department, Rakuten Inc.
Tokyo
03.2020 - 07.2021

Project: Open & Click Rate Prediction

Compiled & analyzed vast datasets surrounding email campaigns, users demography & users reaction. Created and implemented new forecasting models to generated reliable open & click rate predictions for future email campaigns.


Project: Sales Trend Forecasting

Performed Time-Series Analysis on daily sales generated by Email Campaigns to identify seasonal patterns & extract valuable business insights. Forecasted reliable daily sales trend for upcoming month, which was used by email marketers for better decision making.

Project Lead & Data Engineer

Data Science Department, Rakuten Inc.
Tokyo
11.2018 - 03.2021

Product: User-Subscriptions Management System

Redesigning & reconstructing legacy User-Subscriptions Management System, to get rid of technological backlogs & maintenance overhead.

o Lead a multicultural team of 7 enthusiastic engineers, mentored 2 newcomers

o Collaborated with multiple teams & stakeholders to finalize product definition

o Formulated design-documents and project-roadmaps to reconstruct the legacy monolithic system using microservices architecture & cloud technology

o Designed ETL tools to migrate & manage vast user-subscriptions data

o Managed multiple parallel projects using Agile/Scrum methodology

o Adjusted project plans to account for dynamic targets, staffing changes and operational specifications.

Project Lead & Data Analyst

Data Science Department, Rakuten Inc.
Tokyo
11.2015 - 10.2018

Product: Email KPI Monitoring Dashboard

Managing & enhancing Email KPI Monitoring Dashboard, which provides valuable business insights to marketers, through Data Aggregation, Analysis & Visualization

o Managed complete SDLC & multiple projects using Agile/Scrum methodology

o Designed ingestion pipeline & databases to gather Email campaign data

o Compiled vast amount of customer-engagement data from various sources

o Optimized legacy data pipeline to reduce runtime by ~60%

o Analyzed customer behavior & delivered high-quality business insights

o Enhanced business value of product by proposing new features & KPIs

Software Engineer

Ecosystem Services Department, Rakuten Inc.
Tokyo
10.2014 - 10.2015

Contributed as full-stack Ruby-on-Rails developer in the Email Marketing & Customer Analysis team. Performed feature development, unit testing, integration testing, deployment & maintenance of the Email KPI Dashboard.

Software Engineer

HCL Technologies Ltd.
Noida
10.2010 - 06.2012

§ Digital Still Camera Enhancement | Client: SONY, Japan

Implemented Aspect Ratio, Image Size & Auto Power off features in multiple camera views.

§ VoIP based Android Handset Development | Client: EMS, Canada

Developed & customized Device Drivers for Proximity, Temperature, Accelerometer Sensor

§ OPPL SDK Customization | Client: NTT DoCoMo, Japan

Remodeled legacy OPPL SDK & generated new libraries to remove 3rd party dependencies

Education

MASTER OF TECHNOLOGY - Geoinformatics & Resources Engineering

IIT BOMBAY
INDIA
08.2012 - 06.2014

BACHELOR OF TECHNOLOGY - Information Technology

KIIT University
INDIA
08.2006 - 06.2010

Skills

    Statistical Analysis & Modelling

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Certification

Data Engineering with GCP Professional Certificate

Interests

Logo & Web Designing

Digital Painting & Photography

Timeline

Data Scientist

Rakuten Institute of Technology, Rakuten Inc.
08.2021 - Current

Data Scientist

Data Science Department, Rakuten Inc.
03.2020 - 07.2021

Data Engineering with GCP Professional Certificate

01-2020

Data Engineering, Big Data & Machine Learning on GCP

12-2019

Project Lead & Data Engineer

Data Science Department, Rakuten Inc.
11.2018 - 03.2021

Project Lead & Data Analyst

Data Science Department, Rakuten Inc.
11.2015 - 10.2018

Software Engineer

Ecosystem Services Department, Rakuten Inc.
10.2014 - 10.2015

MASTER OF TECHNOLOGY - Geoinformatics & Resources Engineering

IIT BOMBAY
08.2012 - 06.2014

Software Engineer

HCL Technologies Ltd.
10.2010 - 06.2012

BACHELOR OF TECHNOLOGY - Information Technology

KIIT University
08.2006 - 06.2010
KULDIP SAHNIData Scientist