cv
This is a description of the page. You can modify it in '_pages/cv.md'. You can also change or remove the top pdf download button.
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
-
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.
-
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.
-
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
-
2020.04 - 2020.11 Data Science Intern
Jio Creative Labs
Utilized data analytics and creative strategies to enhance marketing campaigns and optimize audience engagement
-
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
-
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.
-
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.
-
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
-
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
-
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.
-
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 |