Saket Khandelwal

• Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to the organization's strategic goals.
• Design, implement, and maintain ETL pipelines and analytical models using AWS (Glue, Spark, Redshift, S3), Python, and SQL.
• Develop recommendation systems and propensity models to optimize customer product suggestions.
• Build customer segmentation and retention models, delivering actionable insights to marketing and sales teams.
• Implement machine learning and data governance systems to effectively monitor datasets, ensure data quality, and support compliance.
• Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to the organization''s strategic goals.

• Assist in implementing and maintaining automated ETL data pipelines while ingesting data across multiple sources using Spark, Azure Data Factory, Databricks and Python.
• Implemented SCD methodologies to generate historical data for data warehouses.
• Involved in creation of business rules for data migration from legacy to state-of-art systems.
• Analysed data for Business products and created visualisations to gain insights by leveraging Power BI and Azure Synapse.
• Developed and Implemented Anomaly detection algorithms to detect anomalies with product related metrics.
• Experience working in a full agile environment.

Responsibilities

• Assist in scope definition and planning for numerous research collaboration projects.
• Developed a Data Processing Pipeline using MongoDB, Elastic Search and python.
• Worked on large-scale social media text analysis to gain insights on gendered hate speech and domestic using parallel-processing and Natural Language Processing.
• Implemented visualisation dashboards using Dash for social media network analysis.
• Developed a Machine Learning Pipeline to automatically extract information from legal judgments to assist law practitioners using Machine Learning (Deep Learning, Heuristics, Word embeddings).

Accomplishments

• Experience working with researchers and professors in academia and writing a research paper which was accepted by Australian Language Technology Association (ALTA).

Responsibilities

• Developed data retrieval end point services (API) using the Django Rest Framework.
• Worked with tables from MongoDB/Postgres/sqlite databases with Python.
• Assist in scope definition and planning.
• Worked with automation build and deploy tools.
• Experience with agile environment, Git and Jira.

Accomplishments

• Creation of a new end-to-end seller management system.

• Visualized the effects of insider threats on complex network systems.
• Design and develop a visualizer for a mathematical model using Flask and Angular.