Priti Gupta, Ph.D.

Data Scientist

Bengaluru, Karnataka, India2 yrs 4 mos experience

Highly Stable

Key Highlights

Over 5 years of experience in data science and research.
Published in esteemed peer-reviewed journals.
Led cross-cultural collaborations in data-driven projects.

Stackforce AI infers this person is a Data Scientist with expertise in Fintech and Research.

Contact

pritigupta.ds@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData AnalysisResearch

Other Skills

Python (Programming Language)Technical PresentationsNumerical SimulationJupyterAmazon Web Services (AWS)Research and Development (R&D)GnuplotProgrammingAnalytical SkillsCommunicationMentoringTheoretical PhysicsFortranMathematicaLaTeX

About

With over 5+ YoE in data science and research, supported by a solid background in computational physics and statistics, I bring a unique blend of analytical skills and scientific rigour to every project. My programming journey spans 7+ years, primarily in Python and C, and I have 4+ years of experience in project management and cross-cultural collaborations. I have been published in esteemed peer-reviewed journals, enhancing my ability to communicate complex ideas effectively. Currently, I head a supply-chain optimization network for a leading packaging company, where my responsibility is to oversee all data science and business intelligence initiatives, ensuring seamless collaboration and data-driven decision-making across stakeholders. I have also worked on a range of machine learning and data science projects across various domains. I thrive on the prospect of collaborating with a dedicated team to drive long-term AI initiatives that shape core business decisions.

Experience

2 yrs 4 mos

Total Experience

2 yrs 4 mos

Average Tenure

2 yrs 4 mos

Current Experience

Flexday ai

2 roles

Senior Data Scientist

Promoted

Oct 2024 – Present · 1 yr 7 mos

Led the development of a supplier intelligence platform, providing a competitive edge to business leaders.
Initiated the automation of manual processes, significantly reducing cognitive load by filtering relevant data from irrelevant information.
Delivered a comprehensive one-stop solution by integrating AI assistants and external tools, enhancing decision-making and operational efficiency.

Data Scientist

Jan 2024 – Oct 2024 · 9 mos

Led a supply-chain optimization network for a leading packaging company, overseeing all data science and business intelligence initiatives.
Ensuring seamless collaboration and data-driven decision-making across stakeholders.
Working on a range of machine learning and data science projects across various domains.

Optimum solutions pte ltd

Senior Consultant

Nov 2023 – Jan 2024 · 2 mos · Bengaluru, Karnataka, India · Hybrid

Worked on the development of unsupervised machine learning models for anomaly fraud detection. Key responsibilities included:
Exploratory Data Analysis (EDA) and Feature Engineering: Conducted comprehensive EDA to extract meaningful insights from bank trade datasets, informing the feature engineering process.
Data Validation: Ensured the accuracy and reliability of the data by implementing rigorous validation processes, minimising the risk of false positives and false negatives in fraud detection.
Client Collaboration: Worked closely with Standard Chartered Bank to understand their specific requirements and tailored machine learning solutions to address unique fraud detection challenges within the financial sector.
Team Collaboration: Actively participated in team discussions, presenting detailed insights and findings. Fostered a collaborative environment conducive to knowledge-sharing and collective problem-solving.
Mosaic Platform Expertise: Utilised the Mosaic platform to effectively manage and process data, leveraging its capabilities to streamline workflow and enhance overall project efficiency.

Python (Programming Language)Technical PresentationsMachine LearningData Analysis

Indian institute of science (iisc)

CV Raman Research Fellow

Dec 2022 – Nov 2023 · 11 mos · Bengaluru, Karnataka, India · On-site

As a Research Fellow specializing in gravitational wave simulations and data analysis, my contributions spanned various aspects of astrophysics and machine learning. Key responsibilities and achievements included:
Gravitational Wave Simulations and Data Analysis: Conducted extensive simulations and data analysis of gravitational waves emanating from galactic centres. Utilized advanced computational techniques to model and interpret astrophysical phenomena.
Gravitational waves from triple systems - Worked on identifying unique features of the Kozai-Lidov mechanism on indirect and direct observation of gravitational waves by space-based observatories (LISA, DECIGO). Our study was the first theoretical prediction to indirect observation of GW from a triple system.
Machine Learning Applications on Exoplanet Dataset: Explored the intersection of astrophysics and machine learning by applying advanced algorithms to analyze exoplanet datasets (NASA exoplanet archive). Investigated patterns and trends within the data to uncover the identification of exoplanets.
Global Collaboration and Research Papers: Collaborated with international researchers and actively participated in global scientific collaborations. Authored and co-authored research papers that contributed to the scientific discourse surrounding gravitational wave astronomy.
Mentoring Students: Provided mentorship to students, fostering their development in astrophysical research. Guided them through research projects, helping them contribute meaningfully to ongoing scientific investigations.
Associate Member of LISA Satellite: Served as an associate member of the Laser Interferometer Space Antenna (LISA) satellite project, contributing insights and expertise to the mission's objectives in gravitational wave detection.

Numerical SimulationPython (Programming Language)ResearchData Analysis