Dr Bhawna Malik

Ph.D. in mathematical biology, with research focusing on developing biological mathematical models and forecasting their long-term behavior. I used various dynamical and mechanistic modeling approaches: deterministic (e.g., ordinary differential equations (ODE)) and stochastic (e.g., continuous-time Markov chains (CTMC), discrete-time stochastic simulation, Markov chains, multi-type branching processes (MBP)), as well as a probabilistic modeling approach. I also model human behavior towards control measures using behavioral game theory to gain insights into disease spread and healthcare interventions. Matlab is also used to simulate and analyze the models. One of the primary motivations for these studies is to develop health economic models (HEOR), investigate the complex dynamical behavior of the system as a result of socio-economic factors in LMIC and UMIC, and develop policies to mitigate the disease. I have strong analytical and problem solving skills which makes me a good fit.

• INFECTIOUS DISEASE
• EPIDEMIOLOGY
• ANTIMICROBIAL RESISTANCE (AMR)
• POPULATION DYNAMICS

1.Bhawna Malik & Samit Bhattacharyya: Antibiotic drug- resistance as a complex system driven by socio-economic growth and antibiotic misuse. Scientific reports, Nature, (2019) 9:9788.

2. Bhawna Malik & Samit Bhattacharyya: A stochastic model of antibiotic misuse, economy, and drug resistance: Computing extinction probability using multi-type branching process and relating to socioeconomic factors. Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis.

3. Bhawna Malik & Samit Bhattacharyya. Emergence and burden of antibiotic drug resistance: an endogenous cycle. Current Science, vol. 118, No. 2, 25 January 2020.

4. Bhawna Malik & Samit Bhattacharyya. Disparity in socioeconomic status the pattern of self-medication of antibiotics in India: understanding from game-theoretic perspective. Royal Society of Open Sciences.

5. Dylan Hull-Nye, Bhawna Malik, Ravikiran Keshavamurthy, & Ellisa J. Schawartz. Transient Dynamics of the kidney disease epidemic among HIV-infected individuals. Mathematics in Applied Sciences and Engineering, vol 1, No. 4, December 2020.

Music Store Data Analysis

• The "Music Store Data Analysis" project offers a comprehensive analysis of the music store's data to facilitate better decision-making, identify trends, and understand customer behavior.
• By leveraging SQL queries and data exploration, this project provides valuable answers to optimize inventory management, target marketing campaigns, and make informed business decisions.

Swiggy Funnel Analysis

• The goal of this project is to analyze a Swiggy dataset and conduct an in-depth analysis to understand the moot reasons behind the rise and fall in orders using funnel analysis starting with differerent conversions.
• The project uses data to analyze key metrics such as order volume, delivery time, customer ratings, and restaurant ratings. The dashboard analysis is done on Advanced-Excel.

Food_ecommerce Analysis

• The main aim of this project is to provide user-friendly interface for users to buy food products anytime and from anywhere.
• We have created interactive dashboard visualization of the sales data so that user can understand and analyze well.Along with visualizations, there is forecasting for sales of food products in near future.

Airline Management Database

• This project contains an airline management database with tables for storing employee, flight, passenger, and airport information. The SQL code includes table creation statements and sample data insertion statements.
• The code includes several query examples demonstrating how to retrieve and manipulate data from the database using timespamp, join, window function, rank function to extract the queries.