Aman Kushwaha

Associate Consultant

Bengaluru, Karnataka, India5 yrs 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

4+ years of experience in data science.
Expert in machine learning and deep learning algorithms.
Proven track record in translating data insights into strategies.

Stackforce AI infers this person is a Data Scientist specializing in Healthcare analytics and machine learning solutions.

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Skills

Core Skills

Machine LearningDeep LearningCausal Inference

Other Skills

A/B TestingAlgorithmsAmazon Web Services (AWS)AutoencoderAzureBusiness DevelopmentC++Cascading Style Sheets (CSS)CommunicationCreative Problem SolvingCustomer SatisfactionData AnalysisData CleaningData EngineeringData Manipulation

About

An internally driven and passionate Data Scientist with 4+ years of experience in designing and implementing analytical solutions (leveraging machine learning, deep learning algorithms, and GenAI frameworks) to drive business goals. Proven track record of translating data-driven insights into actionable strategies. Passionate about using advanced analytics to uncover hidden opportunities and solve complex problems, ultimately driving growth and innovation. | Data Scientist | Engineer | Learner |

Experience

Zs

2 roles

Data Science Associate Consultant

Promoted

Jan 2024 – Present · 2 yrs 2 mos

Dynamic Targeting and Portfolio Optimization
Developed and deployed an algorithm that dynamically recommend which physicians to target based on their behavior and maximize the overall sales
Built multiple non-linear tree based boosting model that measure brand-wise opportunity such as physician writing behavior. Change in behavior and look-alike writers to increase individual drug adoption
Designed an optimization on top of this (using PuLP) to recommend brand wise details by avoiding
cannibalization and maximizing the sales
Entity Extraction with LLM and RAG
Constructed an end-to-end RAG pipeline utilizing LLM (GPT-4) for entity extraction
Implemented Azure Form Recognizer and pdfplumber for efficient document digitization and OCR
Employed LangChain for document chunking, prompt template creation and NLP tasks
Utilized prompting techniques like Few-Shot and Chain of Verification, achieving an F1 score of 0.90
Protocol Authoring Tool
Built a web application using dash to streamline the authoring of protocol documents for clinical trials
Incorporated Large Language Models (LLM) to provide high-quality recommendations based on user inputs and instructions, significantly minimizing manual effort by 30% in drafting the first draft

Causal InferenceMachine LearningDeep LearningPythonAzureLangChain

Data Science Associate

Jun 2021 – Dec 2023 · 2 yrs 6 mos

Embedding Generation for Emerging Pharma
Engineered a feature creation pipeline capable of generating 1.5k-2k features, utilizing feature engineering techniques and data preprocessing
Implemented Autoencoder to generate lower-dimensional embedding. Employed Optuna to optimize critical parameters, including the number of layers, neurons per layer, and embedding size.
Applied the derived embeddings to various HCP level use cases, achieving an impressive 20% lift in outcomes compared to conventional approaches
Impact Modeling Pipeline using Causal Inference
Developed an impact modeling pipeline leveraging causal inference methods (S-learner and T-learner) to quantify the effectiveness of various patient support programs
Employed Cox Proportional Hazards (CoxPH) and XGBoost as base models, achieving an R² score of 86%
Evaluated individual treatment effects at the user level, providing the flexibility to scale insights to any level

Causal InferenceMachine LearningPythonAutoencoderOptuna