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Sandilya

My Portfolio

Previous and Current Work

DALL·E 2024-01-04 23.32.12 - A professional cover picture for a Pharmaceutical Sales in An

Analysis of Pharmaceutical Sales Dynamics in Anesthesia Market

In this project, I performed an in-depth analysis of the injectable anesthesia market using Python, focusing on market dynamics between 2016 and 2018. Utilizing Pandas and NumPy, I analyzed Medicare CCLF claims data to understand trends in market share, growth rates, and HCP prescribing patterns. My work led to actionable insights and strategic recommendations to enhance the market share of a newly launched pharmaceutical variant, amidst competitive challenges from existing products.

Cardiac Claims Analysis using Syntegra Data

Cardiovascular Metabolic (CVM) Claims Analysis is a data-driven project aimed at providing insights into the Cardiac disease treatment landscape. By analyzing the Syntegra Medicare CCLF Claims dataset from 2016-2018, the project identifies trends in Cardiac claims, evaluates HCP claim behaviors, and investigates patient age demographics. The findings inform strategic decisions on sales force deployment and marketing budget allocation in the pharmaceutical sector, highlighting the importance of targeted strategies for different healthcare provider segments and patient age groups.

NYC Subway Terminal On-Time Performance Analysis

In this project, I undertook a comprehensive analysis of the on-time performance of the New York MTA subway system over a five-year period, from 2015 to 2019. My primary objective was to explore essential business questions and gain insights into the efficiency and reliability of the subway system.

Cryptocurrency Price Prediction Using Machine Learning

In my project, I tackled the challenge of making informed decisions in cryptocurrency trading. I developed a machine learning model that provides buy/sell trade recommendations using historical data specific to each cryptocurrency. To enhance accuracy, I employed an extensive feature set encompassing technical, blockchain-based, sentiment-based, and asset-based attributes. This approach aims to provide more reliable outcomes for successful trading decisions.

Navigating the NYC job market

This project focuses on understanding the job market trends in New York City, which is known for its large and diverse job market. The study utilizes a dataset obtained from the official jobs website of the City of New York, containing information on job titles, industries, required skills, and qualifications

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