Jan 2022 – Jul 2023 · 1 yr 6 mos · India · On-site

• Developed Shiny based Evidence Synthesis Hub( NMA, MAIC and STC application)
• Performed multiple Indirect treatment comparison
• Deployed end to end applications into the server and continuously improve applications for enhancements and better user experience.
• Worked on the Synthetic Arm Generation from multiple trial arms and conducted treatment comparisons.
• Worked on Fractional Polynomial Network Meta Analysis and executed it using the R.

Nov 2018 – Jan 2022 · 3 yrs 2 mos · Hyderabad Area, India

• Created algorithm for Response Analysis by the patients corresponding to a given drug.
• Used machine algorithms and time series concepts in the analysis.
• Performed Web Scraping and NLP for the impact of Drugs and feedback by the patients
• Created algorithms for the Sentiment Analysis
• To increase efficiency, create an algorithm that fetches the data from clinicalTrials, PubMed, and various forums and creates a database as a result.
• Created dynamic R backend code for COE And COI models in Health Economic Models.
• Cost- Utility And Cost-effectiveness analysis along with ICER Plots and PSA. Also Created NPV models as per the choice of the client.
• Created algorithm for auto refine Research papers from the Pubmed based on the Title and the Abstract
• Used Python, R, and SQL databases.

Jul 2018 – Nov 2018 · 4 mos · Bengaluru Area, India

• Worked on the Optimisation in field of oil and Gas allocation along with the drivers.
• Worked with Linear programming problems and its solution. According to condition created constraints and the equations for large number of variables and created.lp files.
• Solved ".lp" files with the LPP solvers like CBC, Gurobi, CPLEX, Etc. Also tune parameters manually according to problems
• Worked with the NEOS Server solvers.
• Created Python codes to compare ".lp" files and provide errors.
• Written complex Stored procedures and SQL queries to deal with the multiple DataBase in SQL.
• Written codes for debugged multiple issues in the data. Integrate the machine learning algorithms with the LPP.
• Created Automated codes to run end to end process with SQL, Excel, TXT and Python Simultaneously to create Report using the python by one click.
• Worked with Python, R, SQL database, Spark,Git and Linux.

Jan 2018 – Jun 2018 · 5 mos · Bengaluru Area, India

• Joined as a Intern at Coextrix Technologies.

Oct 2017 – Jan 2018 · 3 mos · Chennai Area, India

• Worked as Data Analyst Intern at Energyly.
• Worked on the Real-Time Time-series Data (Energy data)
• Time series forecasting and Data Visualization
• Anomalies detections and Machine issue detection on the basis of fluctuation of consumption in Energy.
• Created Codes to send an Auto email and SMS for such issues to Clients.
• Worked with R Language