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Anshika Gupta Email & Phone Number
Data Analyst II
at
Prove
1 work email found
@prove.com
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 86%
Current company
Role
Data Analyst II
Location
Brooklyn, New York, United States
Company size
Who is Anshika Gupta? Overview
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Quick answer
Anshika Gupta is listed as Data Analyst II at Prove, a with 532 employees, based in Brooklyn, New York, United States. AeroLeads shows a work email signal at prove.com and a matched LinkedIn profile for Anshika Gupta.
Anshika Gupta previously worked as Data Science Intern at Dasera and Course Assistant at Nyu Center For Urban Science + Progress. Anshika Gupta holds Master Of Science - Ms, Computer Engineering from New York University.
Company email context
Email format at Prove
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{first}.{last}@prove.com
89% confidence
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Profile bio
About Anshika Gupta
Actively looking for full-time roles in Data Science/ Machine learning/ Product, Anshika has graduated with an MS in Computer Engineering from New York University. She maintains a cosmopolitan outlook and is actively involved in the betterment of social causes like Mental Health and Women's Empowerment. She has chaired various technical and cultural college communities, founded the first women-centric technical community of her UG college- Techess, and is an active member of the WomenWhoCode Mumbai chapter. Her skill set includes Python, R, C, Data Analytics, Data Visualization, Relational databases, Chatbot dev, Responsive web dev, and Data Structures. She's a dynamic and avid problem solver, currently exploring the security space with GenAI. She loves exploring new cities and cultures, sketching, and being a part of diverse teams. To complement her creative side, she has spoken at college events occasionally and also has multilingual competence.
Current workplace
Anshika Gupta's current company
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Prove
12 roles
Anshika Gupta work experience
A career timeline built from the work history available for this profile.
Data Science Intern
Aug 2024 - Oct 2024
Course Assistant
CUSP-GX 7023: Applied Data ScienceCUSP-GX 7013: Intro to Applied Data Science
Sep 2023 - May 2024
Jan 2023 - Sep 2023
Student Researcher
Sep 2023 - May 2024
Data Science Intern
I worked on projects focusing on data integration, fraud detection, and strategic recommendations for product expansion.- Improved data accuracy by 23% using modified fuzzy matching algorithms in Project 1. - Collaborated across departments to propose strategic recommendations for product expansion in a new country.- Developed fraud detection models, with the gradient boosting machine model outperforming heuristic rules by 1.5 times.- Additionally, I created a Looker dashboard to visualize key Quarterly Business Review (QBR) metrics for enhanced decision-making.
Jun 2023 - Aug 2023
Founder & Ceo
EQlibria focuses on providing affordable, proactive behavioral health support to people through contextual, multilingual chatbots and patient support systems. We believe we are poised to re-engineer the Indian mental healthcare market to better align system-wide incentives and to shift the focus from reactive sick care to preventative healthcare. For morewww.eqlibria.comadmin@eqlibria.com
Apr 2020 - Jul 2022
Data Science Fellow
• Designed a predictive model to predict the personality trait score of the user based on the Big Five test (extroversion, neuroticism, conscientiousness, openness, and agreeableness) in Python using clustering and modeling techniques.• Exhibited concepts like the Bibliometrics library, clustering algorithms, EDA, visualization, correlation, and Neural Networks.• To determine the feasible number of clusters, elbow curve plotting was seen along with silhouette analysis. Clustering tendency was calculated and the obtained results were analyzed for correlation. • Technologies and software used: Google data studio, WEKA, Jupyter notebook, and RStudio
Mar 2021 - Jul 2021
Business Analyst
• Worked on the classification of patients based on suspected infection of the Sepsis illness in R which took into consideration the day of medication, name of the antibiotic, and the route of intake. • My tasks included cleaning the real-world dataset, identification of probably infected patients, and studying new antibiotics for treatment. • Implemented data manipulation techniques to combine the obtained results with the blood culture data to check the IV requirement. • The patients which matched said criteria were identified and reported.
Feb 2021 - Feb 2021
Data Analyst
• Translated complex numerical data into actionable strategies to reduce costs and increase efficiency, quality, and consistency.• Explored and implemented skills to locate data sources, mine, review, validate, protect, and store data, identify trends, patterns, and anomalies in a Data analysis project cycle on given training modules.• Developed a logistic regression model in Python to classify if a donor is likely to donate again based on recency, frequency, monetary, time since the last donation, and whether he/she donated blood in March 2007.• Executed automatic model selection program using Python TPOT with an AUC score of 0.7850.
Jan 2021 - Jan 2021
Data Analyst
• Operated in the Business Research domain focusing on company profile analysis and classification by assessing parameters like geographical location, market reach, the domain of products and services offered.• Implemented data cleaning, classification, and entry techniques to channelize the companies into respective NAICS codes.• Analyzed 300+ company profiles using Microsoft Excel and delivered results with an accuracy of 84%.
Nov 2020 - Jan 2021
Technical Intern
• Worked on assessing the client's information security posture, identifying the risks in the existing environment, and proposed solutions to mitigate the identified risks through Wireshark, cryptography and hashing, disk encryption, pen-testing tools, XSS, steganography, server-side attacking, client-side attacking tools.• Executed internal audits, external audits, third-party audits for 10 client organizations and drafted deliverables, reports, status updates.
Jun 2020 - Jul 2020
4 education records
Anshika Gupta education
Master Of Science - Ms, Computer Engineering
New York University
Education record
Nyu Stern School Of Business
Bachelor Of Engineering - Be, Information Technology
St. Francis Institute Of Technology
Education record
University Of Mumbai
FAQ
Frequently asked questions about Anshika Gupta
Quick answers generated from the profile data available on this page.
What company does Anshika Gupta work for?
Anshika Gupta works for Prove.
What is Anshika Gupta's role at Prove?
Anshika Gupta is listed as Data Analyst II at Prove.
What is Anshika Gupta's email address?
AeroLeads has found 1 work email signal at @prove.com for Anshika Gupta at Prove.
Where is Anshika Gupta based?
Anshika Gupta is based in Brooklyn, New York, United States while working with Prove.
What companies has Anshika Gupta worked for?
Anshika Gupta has worked for Prove, Dasera, Nyu Center For Urban Science + Progress, Nyu Vertically Integrated Projects (Vip), and Eqlibria.
How can I contact Anshika Gupta?
You can use AeroLeads to view verified contact signals for Anshika Gupta at Prove, including work email, phone, and LinkedIn data when available.
What schools did Anshika Gupta attend?
Anshika Gupta holds Master Of Science - Ms, Computer Engineering from New York University.
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