cv
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Basics
Name | Neha Koppikar |
Label | Data Scientist |
neha.koppikar@gmail.com | |
Phone | https://calendly.com/neha-koppikar |
Url | https://nehakoppikar.github.io/ |
Summary | Data Engineer with expertise in building scalable data pipelines, deploying AI/ML models, and leveraging cloud platforms like AWS, Azure, GCP. Proficient in tools like Apache Airflow, PySpark, TensorFlow, and MLflow, I focus on creating impactful, data-driven solutions. |
Work
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2024.02 - Present Associate Consultant
KPMG
Leveraging data-driven insights, advanced analytics, and technical expertise to support strategic decision-making and optimize business processes for clients.
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2022.08 - 2023.09 Analyst, SW Full Stack Engineer
Northern Trust Corporation
Optimized data migration, processing, and reporting systems, delivering significant performance improvements, cost savings, and enhanced decision-making capabilities for wealth management operations.
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2021.04 - 2022.03 Business Analyst
Quantiphi
Applied advanced analytics and machine learning solutions to drive impactful business outcomes for Healthcare and Life Sciences clients based in New York
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2020.04 - 2020.11 Data Science Intern
Jio Creative Labs
Utilized data analytics and creative strategies to enhance marketing campaigns and optimize audience engagement
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2019.05 - 2019.05 Data Analyst
Neurobyte Ventures Pvt Ltd
Gained foundational experience in the finance domain, created a manual data dictionary in Excel, and developed skills in web scraping and Linux OS
Volunteer
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2023.09 - 2024.02 Mumbai, MH, India
Instructor
KWF JKA
Taught karate as a school subject to grade 1 to grade 8 students at SVIS Kandivali.
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2021.01 - 2021.05 Mumbai, MH, India
Research Executive
IEEE MPSTME
Developed a Machine Learning-based web application enabling organizations to conduct reliable virtual interviews with features like speech-to-text chatbots, face recognition, resume screening, video interviews, and an interactive aptitude-testing chatbot.
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2020.01 - 2021.03 Mumbai, MH, India
Student Placement Coordinator
NMIMS University
Facilitated communication between students and recruiters, organized placement activities, and ensured a smooth recruitment process for both parties.
Education
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2017.07 - 2021.08 Mumbai, MH, India
Bachelor of Technology
NMIMS University
Data Science
- Computer Programming
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
- Finance
- Marketing
- Blockchain
- Cloud Computing (AWS)
- Android
- Databse Management System
- Cyber Security
- Extract Transform Load
- Data Science Ethics
Awards
- 2024.12.07
Certificate of Participation
Indian Institute of Technology Bombay
Presention Topic - Unsupervised Natural Language Processing for Policy Process Research in India
Certificates
Microsoft Certified: Fabric Analytics Engineer Associate | ||
Microsoft | 2025-01-11 |
Microsoft Certified: Azure Data Fundamentals | ||
Microsoft | 2024-07-17 |
Microsoft Certified: Azure AI Fundamentals | ||
Microsoft | 2024-06-01 |
Incorta Dashboard Consumer | ||
Incorta | 2023-05-23 |
Incorta 5 Essentials for Business Analysts | ||
Incorta | 2023-05-23 |
Quantum Computing Fundamentals | ||
MIT xPRO | 2022-06-13 |
Google Cloud Certified Associate Cloud Engineer | ||
2022-02-02 |
Julia Scientific Programming | ||
Coursera | 2021-06-11 |
Tableau Data Scientist | ||
Tableau | 2020-08-06 |
Deep Learning Specializatio | ||
Coursera | 2020-07-01 |
Business Analytics and Data Mining Championship 2018 | ||
SAS | 2018-10-06 |
Publications
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2022.04.12 vRecruit: An Automated Smart Recruitment Webapp using Machine Learning
IEEE Xplore
This paper introduces 'vRecruit', a machine learning-based web application designed to streamline virtual recruitment by offering client-specific interview processes, sentiment analysis, face recognition with 96% accuracy, speech-to-text conversion with a 7.55% word error rate, and chatbot functionality with 95% accuracy, delivering an efficient and seamless experience for candidates and recruiters.
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1905.06.30 Smart Monitoring System for Housing Societies based on Deep Learning and IoT
Journal of Engineering Research and Sciences
The paper presents a novel security solution for housing societies, integrating a Raspberry Pi-based facial recognition system with body temperature sensing and an automated data collection web application, addressing the need for enhanced safety measures in residential communities during the COVID-19 era.
Skills
Data Engineering & Analytics | |
SQL | |
Python | |
Azure Data Factory | |
IBM DataStage |
Business Intelligence | |
Power BI | |
Tableau | |
Incorta | |
Grafana |
Cloud Computing | |
Google Cloud PLatform | |
Microsoft Azure | |
Amazon Web Services |
Data Science | |
Machine Learning | |
Deep Learning | |
Natural Language Processing | |
Computer Vision | |
Quantum Computing |
Data Governance | |
Collibra | |
SecuPi |
Languages
English | |
Professional Proficiency |
Hindi | |
Professional Proficiency |
Marathi | |
Professional Proficiency |
Konkani | |
Native speaker |