Aman Kumar Sinha

1. Executed Dynamic Targeting Project with Pfizer to analyze patient and HCP/HCO level sales data for identifying targetable HCPs/HCOs based on prescriptions and specifications.

2. Utilized XGBoost regressor to predict the likelihood of future drug prescriptions by healthcare professionals.

3. Generating optimal details for healthcare providers within the drug universe.

4. Utilized multiple classification and regression models at different stages to forecast prescription patterns by healthcare providers.

• Served as Data Specialist at Cipla, focusing on data management and cloud integration.
• Optimized yield production by deriving insights from data preprocessing and transformation, employing LSTM as the main model.
• Implemented system to categorize pharmaceutical drug reviews into positive, negative, and neutral sentiments with Random Forest and Gradient Boosting.
• Utilized domain expertise to analyze historical data from raw sources using Python, SQL, and Pandas.

• 1. Efficiently supervised and maintained a variety of Pharma Equipments by performing Predictive Analysis on the data generated from machines through IOT. (Tools and Libraries: Python, Pandas, Numpy).
• 2. Developed a predictive model to assess the effectiveness of pharmaceutical drugs based on patient reviews and clinical data by using Random Forest Regressor as the baseline model and XG Boost as main model.
• 3. Developed an intelligent chatbot for customer support using Python and large language models (LLMs) to provide real-time assistance to the production team in understanding the details of the medicines.
• Outcome: Implemented a highly responsive and accurate chatbot, improving and reducing response times for the production team to further assessment the details of the drugs getting manufactured.