Innovation Manager Data Scientist
Resume:
SENJUTI SEN
SOFTWARE ENGINEERING AND INNOVATION MANAGER
DOMAIN EXPERIENCE
11Yrs + experience in Research and Development with premier institutes
5yrs+ experience in New to World product development and Professional Services
4.5yrs experience in Business Strategy and Design Thinking
1.5yrs experience on AI, ML and Deep Learning in the domains of Computer Vision and Natural Language Processing 8 years 11 Patents 3
Publications Ex- ISRO
A competent professional with
experience in Innovation, Research
and Development, Data Science,
Professional Services across sectors
like Space Technology, Autonomous
driving, Telcom, Utility, Waste
Management, Education, etc
Currently leading the Global
Technology Innovation Lab for
creating New to World solutions
for HERE Technologies with the
focus to develop innovative
solutions/products that will give
HERE a strategic advantage.
Leading a team of 20+ skilled
resources including geo-spatial
& data scientist, app developers,
embedded engineers and
handling 10 Mn + revenue
portfolio.
CONTACT
PHONE:
EMAIL:
***********@*****.***
CERTIFICATIONS
Design led Strategy
University of Sydney
2020-08
ACHIEVEMENTS
Specialized in establishing and successfully leading new business verticals for revenue generation and innovation. In 6 months, led Global Technology Innovation lab to unlock a market opportunity of $25Mn, with 100% of its members accredited with patents
11 Patents (1 registered in US (10484822). All rights reserved by HERE Technologies), 10 in 18-month incubation period
3 Publications, including 1 International publication with Springers International
Received Best Paper award by Indian Space research Organization in 2013 (ISRO)
WORK EXPERIENCE
HERE TECHNOLOGIES (2013-Present)
Established Global Technology Innovation Lab under CTO to develop Innovation strategy for HERE.
Developed solutions in AIML, Location Technology, Data Science and analysis resulting in new business opportunity of 25Mn USD in 6 months with 5 patents amounts to over potential 1Mn opportunity each
Lead global solution engineering, professional
services, and maintenance team to develop new to
world solutions for business, lead a team of 20+
engineers in various domains, generating a revenue of 4.7Mn USD in 6 months by developing customer
centric solutions
Q—on—Q new customer engagement rate of 5%
and 100% customer retention rate with diversion of solution portfolio for customer.
Developed Business cases for strategic projects
with automotive OEMS, Meta, Amazon, etc
2. Customer Centric Innovative Projects – Professional Services and
ASQ Certified Six Certified Green Belt
(CSSGB)
2019-08
UAS Lidar for Precision Mapping
(ASPRS)
2019-01
Object Based feature extraction
Using Machine Learning
(ASPRS) 2019-01
R Programming
John Hopkins University
2018-11
TECHNICAL SKILLS
Design Thinking
AI/ML/DL engineer having worked in
15+ projects in the field of Supervised,
Unsupervised classification, Computer
Vision, Natural Language Processing with
karas, TensorFlow, scikit learn, statistics,
etc.
Languages : Python, R
3D Data Modeling- Drone, LiDAR,
photogrammetry
Deep Learning Architecture:
Transformers, Attention models, LSTM,
RNN, GAN, CNN
MANAGEMENT & SOFT
SKILLS
Customer Experience through Design
Thinking, Project and Team Building and
Management, Stakeholder Management
Program Management, Innovation
Management
EDUCATION
PGP AI/ML
2021-02 to 2022-02
Great Lakes and Texas University India
Master of Science: Geoinformatics
2011-06 to 2013-07
TERI SAS- Delhi
Bachelor of Science: Geography
2008-06 to 2011-06
Calcutta University- India
DOMAIN: Spatial Data Science (Combined LTR contracted - ~20Mn USD)
Optimization of reseller outlet location using python and spatial statistics (2021)-
• Used geographically weighted regression and
multiscale geographically weighted regression to
analyze the factors influencing location of reseller outlets for telecommunication companies with an
adjusted R2 value of 64%
Real time analytics development for waste management operation optimization using spatial science-based indices
(2020)
• Used Getis G-Ord** index to identify hot spot zones for waste collection vehicle operation analytics
• Used geographically weighted KNN to identify
waste collection zones
Delivery optimization for one of the largest logistics companies in Middle East
• Developed a multiscale zonation optimization
algorithm using Spatial Clustering methods
• Shortest route computation model using adaptive
Dijkstra's algorithm
Developed a New to World Solution for Workforce tracking and consumer indexing for Power Utility Industry
• Semi-Automatic consumer indexing algorithm
based on OCR and spatial clustering method
• Lead a team for developing an android
application for survey workforce tracking
DOMAIN NAME: AI, Machine Learning and Deep Learning(Combined LTR contracted - ~12Mn USD)
Used YOLO and Faster RCNN for asset detection of electricity utilities, especially for developing
countries
• Precision of 86% and recall of 84%
• Accuracy of 89%
Real Estate Price modelling- research project for company:
(2018)
• Created predictive real estate price estimation by combining geospatial science and Machine
learning
• Adjusted R2 value of 74% in developed countries, and 45% for developing countries
Street Address language correction using NLP: (2017)
• Created several language solutions like auto spell correction in any language using NLP
• Techniques for correcting street names for different geographies
• Accuracy of 96%
AWARDS
Special Award for Organization Impact -
2021
For driving Innovation across HERE,
across New to World, Solution Design and for
Automotive OEM program, resulting in new
business opportunity of 2Mn euros and 5
patents.
Pioneer at HERE Solutions-2019
For building and driving innovation
culture in the team resulting in filing of 20+
Patent ideas and 2 patents for the team
Inventor Award at HERE Solutions-2018
For developing a patented technology for
automated last meter delivery
Operational Excellence Jun 2017
Operational Excellence Oct 2016
Best Paper Award – Nov 2014
National Remotes Sensing seminar for
Environment held jointly by dept of space,
West Bengal and Jadavpur University, India
Used Graph theory to work on IMU (internal data set) and assess if this can eliminate the use of 3-axis based localization which is a major showstopper in autonomous driving (2021)
Used GAN and location data to work on developing a model which will replicate the paleomagnetism nature of earth and will help in reducing dependency on magnetometer for autonomous vehicles (2021)
Worked on a self-learning housing grid development using machine learning and spatial science to enable last mile issue
(2019)
DOMAIN NAME: EMBEDDED TECHNOLOGIES – Led to a strategic partnership with OEM
Gesture based control for developing a simulation environment for autonomous vehicles in densely populated region
• A voting classifier, combining 8 classifiers to detect turns in highly sinuous road on basis of hand
gesture
• Achieved an accuracy of 98.33% on test dataset
R&D on TinyML use cases is an active interest topic DOMAIN NAME: INDEPENDENT RESEARCH
BERT and Transformer based Deep learning models for chatbot development and text summarization (2021-22)
Bidirectional LSTM, attention-based transformers for Text summarization and simplification (2020)
DISCLAIMER: I hereby declare that all the above stated information in true to my knowledge.
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