IP & Patent Data AnalysisProject Management:Key Responsibilities:• Managing various projects pertaining to patents analysis and patent data statistical analytics- Patent data visualisation, Linear regression, scouting and applying proxy variable for regression, time series forecasting, Logistic regression, sklearn Machine Learning for classification and regression- Project initiation & scoping: Taking lead in project initiation, defining project… Show more IP & Patent Data AnalysisProject Management:Key Responsibilities:• Managing various projects pertaining to patents analysis and patent data statistical analytics- Patent data visualisation, Linear regression, scouting and applying proxy variable for regression, time series forecasting, Logistic regression, sklearn Machine Learning for classification and regression- Project initiation & scoping: Taking lead in project initiation, defining project scope- Project execution: Executing projects with a dedicated dead line, taking responsibility and ownership for projects- Project delivery & closure: Delivering error free report to client, closing projects after having discussion with the client• Team management- Managing and motivating team members- Imparting training to team members- Imparting training to junior &senior BD professional on technical aspects Show less

IP & Patent Data AnalysisKey Responsibilities:• Managing various IP projects to give succinct research output to the client• Preparing final report for clients for all IP projects• Summarising patent data by means of general and statistical charts using Excel• Managing patent data to get valuable insight for making power point presentations• Discussing projects with clients (attorneys, knowledge managers, R&D scientists) and following up their requirements for… Show more IP & Patent Data AnalysisKey Responsibilities:• Managing various IP projects to give succinct research output to the client• Preparing final report for clients for all IP projects• Summarising patent data by means of general and statistical charts using Excel• Managing patent data to get valuable insight for making power point presentations• Discussing projects with clients (attorneys, knowledge managers, R&D scientists) and following up their requirements for successful completion of projects• Managing small group of team members • IP knowledge sharing with team members for IP knowledge enhancement Show less

Involved in R&D practices and lab data analysis; Statistical analysis of lab experiment data on SPPS, Key Responsibilities:• EDA, Summarizing data & generating various insights through statistical analysis• Simple regression based method validation• Searching & analysis of patent information and Scientific Journals pertaining to the Research Project• Curating patent data and developing valuable insights using charts for future lab… Show more Involved in R&D practices and lab data analysis; Statistical analysis of lab experiment data on SPPS, Key Responsibilities:• EDA, Summarizing data & generating various insights through statistical analysis• Simple regression based method validation• Searching & analysis of patent information and Scientific Journals pertaining to the Research Project• Curating patent data and developing valuable insights using charts for future lab experimentation• Patent and Literature search for the new R&D projects• Preparing strategy to purify proteins and peptides using different chromatographic techniques• Synthesis of peptide using Solid phase method• Analytical Method development for purification and analysis of proteins and peptides• Proper documentation of the work done• Implementation of GLP (Good Laboratory Practices) in the laboratory• Preparation of SOP (Standard Operating Procedure) documents for analytical laboratory instruments Show less

Involved in R&D practices and lab data managementKey Responsibilities:• Literature survey, patent search and documentation• Summarising lab data in Excel & generating various general & statistical graphs • Scatter plot based method validation• Development of HPLC method for the Analysis and Purification of peptides • Characterizations of peptides by analytical HPLC and Mass-sequencing