? INDRANI SEN
Contact: +91-989******* E-Mail: **************@*****.***
Linkedin: https://www.linkedin.com/in/indranisenmumbai/
Kaggle: https://www.kaggle.com/indranisen2003
Github: https://github.com/indrani-sen2003
Training & Development Technical Content Expertise People Skills
An erudite and visionary technical educator, corporate trainer, and curriculum architect, boasting over 20 years of distinguished experience in the realms of instructional innovation, training program development, and pedagogical excellence. My career has been marked by a relentless pursuit of academic and professional refinement, with a deep-seated expertise in the intricacies of machine learning algorithms, big data architectures, and an extensive array of programming languages. I am driven by a passion for imparting knowledge and fostering intellectual empowerment, aspiring to design and execute comprehensive, high-impact training programs that transcend cultural and geographical boundaries. My objective is to contribute to the growth and success of forward-thinking organizations by delivering meticulously crafted, transformative educational experiences that resonate with a global audience. Through eloquent communication, strategic curriculum development, and a profound understanding of cutting-edge technological advancements, I aim to inspire and elevate the capabilities of professionals and learners alike, ensuring they are equipped to excel in the rapidly evolving technological landscape.
Status: Pursuing PhD computer Science University of Mumbai in Thesis writing stage. and working as a freelance corporate trainer and visiting faculty
? CORE ACUMEN
? Corporate Training & Curriculum Development: Over 20 years of experience in institutional teaching, corporate training, and course content design. Skilled in creating and evaluating training programs.
? Technical Expertise:
? Expertise in training in the following technologies:
? Machine learning: Python, R programming
? Big data technologies: Spark, Scala, Hadoop, Pyspark, Pig, Scoop, Hive
? Web technologies: Ajax, PhP, JavaScript, HTML, CSS, VB Script
? DBMS: MySQL, Oracle 11g, SQL server
? NoSQL: MongoDB, PostgreSQL, MariaDB, CouchDB
? Functional programming: Racket, Scala
? Programming languages: Python, C, C++, VB (6.0), C#.net, VB.net, ASP.net, Core Java
? Cloud computing: Databricks, GCP, AWS
? Generative AI: ChatGPT, RAG, Langchain, Agentic AI
? Public Speaking & Communication: Strong presentation skills with experience in domestic and international training and consulting. Able to effectively deliver training in multicultural environments.
Projects:
? Setting up Automatic grading of students belonging to the Data Science course of Virginia commonwealth University in GitHub using pytest.
Kaggle:
? Telecom churn analysis in Pyspark(https://www.kaggle.com/code/indranisen2003/telecom-churn-smote)
? Sentiment analysis of Amazon reviews using Pyspark( https://www.kaggle.com/code/indranisen2003/amazon-review-sentiment-analysis-pyspark)
? Anomaly detection in thermal images using Variational Auto Encoder (https://www.kaggle.com/code/indranisen2003/thermal-data-for-detection)
? Sentiment analysis of mental health in Python (https://www.kaggle.com/code/indranisen2003/setiment-analysis-mental-health)
? Chest infection detection from Xray images using CNN(https://www.kaggle.com/code/indranisen2003/chest-infection-detection-from-xray-images-cnn)
? Bone fracture X-Ray image classification using Artificial Neural network (https://www.kaggle.com/code/indranisen2003/bone-fracture-x-ray-image-classification)
? EMPLOYMENT CHRONICLE
FREELANCE CORPORATE TRAINING EXPERIENCE
COMPANY
TECHNOLOGY
BATCHES
year
HCL
Core Python, NumPy, Pandas, Django
1
2021
BSE institute
Dana analysis and visualization using Excel, Big data analytics, Tableau, Power BI
10+
2022-2024
Regenesys Institute of Management Studies
Core Python and Advanced Python with OOPS, Bigdata analytics (Hadoop, Spark, Pyspark, Scala, Sqoop, HBase, Hive), MLOPS,NLP
4
2024
TCS
Data Mining EON certification course
1
2020
Imarticus learning
R, Bigdata technologies
4
2023
Nice interactive
Core Java
1
2023
FYMC
ChatGPT and Generative AI
4
2023
Hexaware
DBMS and SQL
3
2025
Tata Advanced Systems
Machine learning
1
2024
Edstellar
Cloud spanner GCP
1
2025
Nexturn
Spark, Scala, Bigdata technologies (Hadoop, Spark, Pyspark, Scala, Sqoop, HBase, Hive), Databricks, AWS (ECR, EMR, Athena, Glue, zeppelin notebook), Generative AI, RAG, GAN
1
2025
LTIMindtree
Python and SQL
2
2025
IBM (University training)
Machine learning, Deep learning, NLP
5
2025,2026
Siemens scholarship
Data Science
1
2026
VISITING FACULTY EXPERIENCE
Organization
Role
Year
Subjects
University of Mumbai
Visiting faculty for MSc
Data Science (Since 2018)
Currently working
Next generation databases, Python, Deep neural network,
Healthcare Analytics
NL Dalmia institute of
Management and research
Visiting faculty for MBA
(Business Analytics)
(Since 2022)
Currently working
Python and Data modelling
MET Mumbai
Visiting faculty for MBA
(Business Analytics)
Subjects: (Since 2022)
Currently working
Python, AI ML for managers and Capstone projects
BSE
Visiting faculty for BSc
Data Science
2022 to
2024
Big data technologies,
Data visualization using
Excel, Tableau and
Power BI
DY Patil Institute of
Management
Visiting faculty for BSc
Data Science
from 2022
to 2024
Data cleaning in R, Big data analytics
School of Data Science
and Business
Intelligence
Visiting faculty for MSc
Data Science from
2021 to
2024
Spark, Scala, Machine learning, Big data analytics
FULL TIME ACADEMIC TRAINING EXPERIENCE
Lecturer, Institute of Distance & Online Learning
University of Mumbai July 2016 ? January 2017
Key Responsibilities:
? Taught Object-Oriented Programming Systems, VB 6.0, C#.Net, and Software Engineering.
? Served as Officer on Special Duty (OSD), assisting in business case development for academic projects.
? Institute of Distance & Online Learning, University of Mumbai; Jul?16 ? Jan?17
? Served as a Lecturer for Object Oriented Programming Systems, VB 6.0, C#.Net, and Software Engineering
? Served as an Officer on Special Duty (OSD), assisted with the business case for various Academic Projects in IDOL, and collaborated with the Administrative Officers and the Support Personnel at the various Sections of IDOL.
Assistant Professor
Nirmala Foundation Memorial College June 2011 ? April 2016
Key Responsibilities:
Worked as a full-time Assistant professor
? Enhanced and implemented classroom learning environment and acted as a Facilitator to promote student leadership in initiating and creating positive learning opportunities in the field of Computer Science assimilating new ideas, concepts, methods, and technologies
? Created comprehensive classroom assessment methods and techniques-adopting effective tools that were compliant with the university regulations
? Was in charge of unfair means committee and attendance committee.
? Prepared Exam Schedule analyzing Syllabus Contents of the subjects, providing quality teaching to students of using all the tools, skills, knowledge, and managing coverage of assigned subjects as per academic curriculum to students.
? Involved in lecturing students at UG and PG levels, managing the entire gamut of activities from officiating as an examiner to being a paper setter, conducting practical examinations, and evaluating examinations.
? Experienced as an examiner for TYB.Sc.IT. /TY.B.Sc. Computer Science Sem V and Sem VI examination (regular as well as ATKT) as well as MSc IT in Mumbai University since 2008.
? Worked as an internal as well as an external examiner for TYBSc IT, and TYBSc CS Project viva for documentation and original innovative academic projects completed on time.
Lecturer
Patkar Varde College June 2008 ? April 2011
Key Responsibilities:
? Taught Object-Oriented Programming Systems, VB 6.0, C#.Net, and Software Engineering.
Lecturer
Nagindas Khandwala College of Science July 2006 ? April 2007
Key Responsibilities:
? Instructed courses in C/C++ programming, Digital Computer Fundamentals, DBMS, and Data Structures.
? Served as the examination in charge for the Computer Science and IT department.
Visiting Lecturer (MSc Data Science)
University Department of Computer Science, Mumbai 2017 ? Present
Key Responsibilities:
? Teach Data Science and related subjects to postgraduate students of MSc Data Science
? Teach subjects Health Analytics, Essential technologies of Data Science, Deep neural networks
Visiting Lecturer (MBA Business Analytics)
MET (Mumbai Education Society) 2023 - Present
Key Responsibilities:
? Provided instruction on business analytics to MBA cohorts.
? Teach subjects AI ML for managers and capstone projects
Visiting Lecturer (MBA Business Analytics)
N. L. Dalmia Institute of Management and Research 2023 - Present
Key Responsibilities:
? Teach subjects Data modelling and SQL and Python for data analytics
? Recording lectures for Python for Data Analysis, Foundations of Machine learning, Foundations of Deep learning
Advisory Board Member
DY Patil Institute of Management 2024
Key Responsibilities:
? Appointed as an Advisory Board member, providing strategic guidance and expertise to enhance the academic and research initiatives within the institute. Actively involved in decision-making processes that shape the future direction of the management programs, ensuring alignment with industry standards and emerging trends.
Syllabus Committee Member
University Department of Computer Science, Mumbai University
Key Responsibilities:
? Played a pivotal role in the syllabus formulation committee for the MSc Data Science program at Mumbai University. Led the development of innovative and industry-relevant course content, particularly for courses such as "Essential Technologies for Data Science" and "Health Analytics," ensuring that the curriculum meets the evolving demands of the field.
Adjunct Faculty (Advanced Python, Predictive Analytics, Next Generation Databases, Data Visualization)
BSE Institute Ltd (Bombay Stock Exchange Institute) June 2021 ? 2024
Key Responsibilities:
? Deliver advanced-level courses on Python, Predictive Analytics, and Data Visualization.
Guest Lecturer (MBA Business Analytics)
DY Patil University School of Management June 2022 ? 2024
Key Responsibilities:
? Lecture on various aspects of Business Analytics to MBA students.
Adjunct Faculty (Machine Learning)
School of Data Science and Business Intelligence (SDBI, Patkar College) April 2022 - 2024
Key Responsibilities:
? As an adjunct faculty member, I teach Machine Learning, guiding students through both theoretical concepts and practical applications.
Faculty
Great Lakes Institute of Management June 2019 ? December 2019
Key Responsibilities:
? Delivered training to corporate professionals and fresh graduates in Data Science concepts, including Python programming, SQL, and supervised learning
? TRAINING, RESEARCH & PUBLICATIONS
? Author
? Authored course materials and textbooks on DBMS and SQL for B.Sc. and MCA programs, published by Vipul Prakashan and IDOL, University of Mumbai.
? Research & Presentations
? Presented research on AI-generated recipes at international and national conferences, including St. Louis University, Madrid and Shivaji University, Kolhapur.
? Ranked second in the Zonta International Women for Technology scholarship for the "Automatic Recipe Generator."
? Published research on query complexity metrics and participated in the Aviskar inter-university research convention.
? EDUCATIONAL BRIEF
M.Phil.
Alagappa University 2011
Master of Computer Applications (MCA)
IGNOU 2003
Bachelor of Science (B.Sc.)
Calcutta University 1999