PRASHANT DWIVEDI

Business Development Executive

India2 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in machine learning applications and research.
Developed data engineering solutions for healthcare analytics.
Proven track record of launching impactful ML products.

Stackforce AI infers this person is a Machine Learning and Data Engineering expert in the Healthcare sector.

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Skills

Core Skills

Machine LearningData EngineeringDatabase Design

Other Skills

Deep LearningSQLData ModelingPostgreSQLCustom ModellingDNNAutoMLVertex AIDialogflowKubeflowGenerative AILarge Language ModelsBisonGeckoPaLM

About

Software Engineer with expertise in machine learning application and research. I have multi-year industry experience of solving real-life challenging machine learning problems and launching products that positively impacted the lives of billions of people. I have experience in building large scale, high performance, data driven systems. I am currently working on ML Systems which improve user trust and information quality. My focus areas are natural language processing, information retrieval and opinion fraud detection using deep learning techniques. Skills/Interests : AI & ML: Custom Modelling, DNN, AutoML, Vertex AI, Dialogflow, Kubeflow Generative AI: Large Language Models: Bison, Gecko. PaLM, PaLM 2, CoLab Engineering: Python 3.x, code design, design patterns, CI/CD, Algorithms. GCP stack: Vertex AI(Training pipelines, Jupyterlab, Feature store, Model registry & Model monitoring), BigQuery, Dataproc, GCS, Composer, Custom Airflow Operators, Pub/Sub, Dataflow, Google Cloud Function, BigTable, Data Studio, Looker Big Data: Apache Spark, Hadoop, Hive, Pig, HDFS Programming & scripting: Python, SQL, PySpark, Pandas Databases: PostgreSQL, MySQL, mongoDB, Cassandra, AlloyDB Orchestration: GCP Kubeflow, GCP Dataflow, Airflow More skills: Azure stack: ADLS Gen2, Delta tables, Delta Live tables, Azure Data Factory, Azure Databricks, Event Hubs, Azure SQL, Cosmos DB Others: ETL, DWH, System Design, Terraform, Docker, Kubernetes, Kafka, etc.

Experience

Zs

Business Technology Solutions Associate - ETL

Jul 2025 – Present · 8 mos · India · On-site

Responsibilities:
1.) Implemented enhanced data engineering logic to support evolving business requirements for HCP and Sales IQ analytics.
2.) Designed and maintained Snowflake-based data models, including static reference tables and analytical dimensions.
3.) Developed complex SQL transformations to standardize, enrich, and validate large-scale healthcare datasets.
4.) Executed end-to-end testing (SIT & UAT) across DEV, QA, and PRE-PROD environments, ensuring data integrity before production release.
5.) Created monitoring and operational dashboards to enable proactive issue tracking and support operational teams.
6.) Authored and maintained comprehensive data documentation, including Source-to-Target Mapping (STTM), Business Rules Documents (BRD), System Integration Testing (SIT) artifacts, Data Quality (DQ) checks, Standard Operating Procedures (SOP), and Data Flow Diagrams (DFD) to ensure clarity, auditability, and smooth knowledge transfer.

Machine LearningDeep LearningSQLData EngineeringData Modeling