Salman's CV
Salman Shaikh
DATA SCIENTIST
Profile summary
Multilingual Data Scientist with 3 years of professional experience across 3 organizations, specializing in machine learning, data pipelines, and operational analytics. Built regression models, churn classifiers, and customer segmentation algorithms while optimizing ETL and SQL workflows across multiple database platforms. Analyzed customer, pricing, and order data to support business decisions and operational insights. Committed to delivering accurate data solutions and maintaining reliable records across internal systems.
Career highlights
Predictive Modeling and Machine Learning: Built regression models, churn classifiers, and customer segmentation algorithms while evaluating performance using AUC, ROC, F-score, MAE, and RMSE.
Data Pipelines and Workflow Management: Built and optimized ETL and SQL workflows while analyzing data across Hadoop, Hive, Spark SQL, and Amazon Redshift platforms.
Operations and Data Analysis: Analyzed customer, ticket inventory, availability, pricing, event-demand, and order data across sales operations to support business decisions.
Key skills
Professional experience
Manages sales operations data across US and Canada regions, focusing on customer, ticket inventory, availability, pricing, event demand, and order data to inform business decisions. Coordinates data monitoring and record maintenance across internal portals to support analytical workflows.
- Monitors data accuracy across internal portals to maintain reliable records for analytical processes.
- Investigates data discrepancies and identifies sales and process trends within internal portals.
- Supports operational insights by processing regional sales data and tracking metric anomalies.
Executed data analysis and modeling initiatives, handling ETL pipelines and data processing across Hadoop, Hive, Spark SQL, and Amazon Redshift platforms.
- Developed regression models for customer lifetime value alongside churn classifiers and customer segmentation models.
- Evaluated machine learning models using AUC, ROC, F-score, MAE, and RMSE metrics.
- Contributed to recommender systems on AWS EMR and NLP customer satisfaction analysis.
Executed analytical operations for Skillreigns, focusing on statistical evaluations and exploratory data analysis to surface underlying patterns. Supported internal stakeholders by running hypothesis tests and preparing data visualizations that informed decision-making processes.
- Performed data mining and statistical analysis on datasets to identify relevant trends and correlations.
- Supported predictive modelling initiatives through data preparation and exploratory data visualization.
Projects
Developing a portfolio project using Python, LLMs, Retrieval-Augmented Generation (RAG), vector search and tool calling. Marked in progress until implementation and testing are complete.
Python LLMs Retrieval-Augmented Generation (RAG) vector search tool callingEducation
Languages
English
Hindi
Marathi
Urdu