PLSQL
ANUP MAHARANA
Affiliate Proffessor
Rennes
Summary
Committed and engaging Professor bringing exceptional lecturing skills and industrial expertise in area of applied Data Science and Information Technology. Gifted in engagement and guidance of students with 4 years in postsecondary education, supported by 5+ years in the field of IT consulting services.
Overview
13
13
years of professional experience
8
8
years of post-secondary education
3
3
Languages
1
1
Certificate
Work History
Affiliate Professor
Grenoble Ecole De Management
09.2023 - Current
- Enhanced student comprehension by incorporating real-world examples and case studies in lectures.
- Developed innovative teaching methods tailored to the learning styles of individual students, resulting in improved retention rates.
- Organized guest lectures and seminars, providing students with exposure to industry experts and diverse perspectives.
- Published research findings in top-tier journals, establishing a strong presence within the academic community.
- Advised graduate students on their thesis projects, guiding them towards successful completion of their degrees.
- Used variety of learning modalities and support materials to facilitate learning process and accentuate presentations.
Adjunct Faculty
ESC Rennes School of Business
9 2020 - Current
- Trained multiple groups in 2021 MSc cohorts in Data Science and Applied Data Science related subjects
- Topics included Time Series Analysis, Retail Analytics, Customer Data Analytics and Information and Communication Technology management
- Supplemented theoretical studies with data-supported research to provide an enriched content, for value added education, that mimics industry requirements and taught practical implementation of business statistics using Python programming language based on real time industrial data extracted by various methods such as scrapping, API and public databases
- Serving on departmental committees and contributing to curriculum development initiatives, presently chief designer for master’s courses CRM Systems and Applied Marketing Research for academic year 2023-24
- Supervising 10 graduate and 10 under-graduate students' research projects and provided guidance on research methodology and data analysis for academic year 2022-23
- Facilitated group projects that promoted teamwork, problem-solving skills, and critical thinking abilities among students.
- Coordinated guest speaker events, exposing students to real-world perspectives from industry professionals.
Artificial Intelligence Engineer
Naval Undersea Warfare Center
02.2019 - 09.2019
- Designing and developing data pipelines to capture and integrate data from missiles in trajectories that included gps data, infrared imaging, flight trajectory data from onboard devices
- Created Spark data lakes and analyzed the data using pyspark
- Analyzing data using pyspark MLlib and creating reports for further optimization using PowerBI
- Utilization of Tensorflow framework 1.0 for implementing Deep Learning algorithms based on Google AlphaGO
- Utilized data modeling and evaluation strategies to find patterns and predict unseen instances.
- Trained and fine-tuned machine learning models using large datasets, achieving high levels of accuracy in predictions.
- Ran Deep Reinforcement Learning tests and experiments by implementing appropriate RF and Deep-Q ML algorithms.
Enterprise Data Architect
GE
09.2011 - 06.2015
- Develop, construct, test and maintain databases using Oracle Database Management System and IBM DB2
- Create automated workflow to populate databases from different data sources with multiple data types with public APIs & FTP
- Responsibility to Extract, Transform and Load allocation data from Oracle data warehouse and provide reports in Tableau
- Lead the project of merging multiple databases into a datalake, using process duplication and query optimization
- Automated reporting, reducing response time from 2.5 days to 3 hours.
- Spearheaded efforts in metadata management, enabling accurate tracking of information assets across the organization.
Education
Master’s in data and Business Analytics -
ESC Rennes School of Business
01.2017 - 04.2019
Diplôme Universitaire d'Etudes Françaises - A2 - undefined
CIREFE, UNIVERSITY Rennes 2
01.2019 - 04.2020
Bachelor’s in Electrical & Electronics Engineering - undefined
SASTRA UNIVERSITY
01.2007 - 04.2011
Skills
Programming languages :
Ethics and integrity
Python
SQL
SPSS
Database
Oracle
IBM DB2
SPARK PySpark Scala
JAVA
Machine Learning :
Natural Language Processing
Time Series Analysis
Recommendation Systems
Supervised and Unsupervised Learning
Network Theory
Genetic Algorithms
Optimization
Big Data Technology :
Spark
PySpark
SparkSQL
Hadoop
Databricks
Cloud Computing :
Amazon Web Services
Amazon Web Services
EC2
S3
Kinesis
Athena
Lambda
Airflow
Visualization :
Tableau
PowerBI
Ggplot2
Management :
Market Research
Digital Transformation
Project Management
UX/UI Design
Publications
- Customer Data Analytics : Apple of Consumer’s Eye? Sentiment Analysis and Topic Modelling of UK and US Customer’s Social Network Interaction with Apple Inc., 05/2020 - Present, Sentiment analysis and topic modelling of brand interaction on social media platform, Twitter, using more than 150,000 custom extracted tweets in Tidy format based on NLP, on geographic segmentation of different markets (USA and UK). Journal Strategic Change (Under Submission)
- Business Model Innovation in Real Estate Sector using Satellite Imaging and AI, 06/2021 - Present, Using time series satellite data and change detection machine learning algorithms to predict urban development for real estate investment business model ; Funded Research by TTC Area of Excellence- ESC Rennes School of Business
Accomplishments
Apple of Consumer’s Eye? Brand Image Management : Sentiment Analysis and Topic Modelling of UK and US Social Network Users’ Interaction with Apple Inc.(05/2020 - Present) – Journal Strategic Change (Under Submission)
Business Model Innovation in Real Estate Sector using Satellite Imaging and AI (12/2021 - Present) – Using time series satellite data and change detection machine learning algorithms to predict urban development for real estate investment business model ; Funded Research by TTC Area of Excellence- ESC Rennes School of Business
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Software
Python
NLP
Machine Learning
Tableau
Certification
Lean Six-Sigma Green Belt
Timeline
Affiliate Professor
Grenoble Ecole De Management
09.2023 - Current
Artificial Intelligence Engineer
Naval Undersea Warfare Center
02.2019 - 09.2019
Diplôme Universitaire d'Etudes Françaises - A2 - undefined
CIREFE, UNIVERSITY Rennes 2
01.2019 - 04.2020
Master’s in data and Business Analytics -
ESC Rennes School of Business
01.2017 - 04.2019
Enterprise Data Architect
GE
09.2011 - 06.2015
Bachelor’s in Electrical & Electronics Engineering - undefined
SASTRA UNIVERSITY
01.2007 - 04.2011
Adjunct Faculty
ESC Rennes School of Business
9 2020 - Current