Anshika Gupta Email & Phone Number

Mountain View, California, US

Brooklyn, NY, US

CUSP-GX 7023: Applied Data ScienceCUSP-GX 7013: Intro to Applied Data Science

Brooklyn, NY, US

CUSP Urban Science Intensive I and II

Brooklyn, New York, US

New York, New York, US

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.

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.

Atlanta, GA, US

• 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.
• 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

New Delhi, Delhi, IN

• 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.

New Delhi, Delhi, IN

• 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.

Greenwood Village, Colorado, US

• 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%.

Mumbai, Maharashtra, IN

• 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.
• Executed internal audits, external audits, third-party audits for 10 client organizations and drafted deliverables, reports, status updates.

Master Of Science - Ms, Computer Engineering

Education record

Bachelor Of Engineering - Be, Information Technology

Education record