Highlights:Experienced Data Scientist with six years of expertise in Fintech Industry. Specializing in developing predictive models for credit risk, fraud detection, and product optimization. Proficient in Python, SQL, and modern machine learning techniques like gradient boosting and neural networks. Skilled in deploying ML models and collaborating with cross-functional teams to deliver data-driven solutions. Expertise in developing data pipelines, conducting ad hoc analyses, and presenting insights to stakeholders. Known for strong problem-solving skills, business acumen, and effective communication in fast-paced environments.

Skills:data science, machine learning, python, SQL, Generative AI, Languages: Python, R, SQL, JavaScript, C++. Data S

Goal:Experienced Data Scientist with six years of expertise in Fintech Industry. Specializing in developing predictive models for credit risk, fraud detection, and product optimization. Proficient in Python, SQL, and modern machine learning techniques like gradient boosting and neural networks. Skilled in deploying ML models and collaborating with cross-functional teams to deliver data-driven solutions. Expertise in developing data pipelines, conducting ad hoc analyses, and presenting insights to stakeholders. Known for strong problem-solving skills, business acumen, and effective communication in fast-paced environments.

Data scientist (Associate-Projects) 08/2022 - 09/2023
Cognizant Technology Solutions (CTS), |, , United States
Industry: Information Technology
Experienced Data Scientist with six years in advanced analytics, specializing in developing data-driven solutions to enhance digital marketing strategies. Proficient in Python, SQL, and Snowflake, with expertise in Adobe Analytics and Tableau for data visualization.
Project: Customer Segmentation & Product Recommendation engines | Client-AbbVie Inc. | ML, AWS, Python, SQL, Tableau • Developed a product recommendation engine utilizing content-based & collaborative filtering techniques, led to 5% increase in user engagement. • Developed customer segmentation model using K-means, hierarchical clustering, improved conversion rate 1.5% & revenue $1.5M annually. • Engineered and optimized ETL processes using AWS Glue, reducing data processing time by 35% and ensuring data accuracy and consistency. • Automated data workflows using AWS Lambda and Step Functions, increasing operational efficiency & reducing manual intervention by 30%. • Conducted extensive data analysis & feature engineering to improve model performance, resulting in a 20% increase in prediction accuracy. • Developed & maintained real-time data pipelines with Amazon Kinesis, enabling instantaneous data processing & analytics for real-time insights. • Developed interactive dashboards & reporting tools using tableau, communicated insights to stakeholders, facilitating data-driven decision-making.--
AdOps Specialist 12/2021 - 08/2022
ZYPMedia (Sinclair digital subsidiary), , United States
Industry: Information Technology
Experienced Data Scientist with six years of expertise. Specializing in developing predictive models for credit risk, fraud detection, and product optimization. Proficient in Python, SQL, and modern machine learning techniques like gradient boosting and neural networks. Skilled in deploying ML models and collaborating with cross-functional teams to deliver data-driven solutions.
Project: Fraud Detection & Churn Prediction | Client-Sinclair Broadcast Group (SBG) | ML, Azure, Python, SQL, Tableau • Developed fraud detection application using SVM & logistic regression, resulting in a 60% reduction in fraudulent activities. • Developed churn prediction model using decision tree & random forest algorithms, reducing customer attrition by 7% & saving $1M annually. • Collaborated with marketing teams to develop personalized retention strategies for high-churn segments, increasing customer loyalty by 10%. • Engineered robust ETL pipelines using Azure Data Factory, significantly reducing data processing time by 30% & enhancing data quality, integrity. • Implemented scalable data solutions on Azure Synapse Analytics, optimizing query performance by 40% through strategic partitioning & indexing. • Leveraged Tableau's features such as calculated fields, sets to create dynamic visualizations that effectively communicate key metrics & trends.--
Junior Data Scientist. 09/2019 - 11/2021
Unique Technomech Pvt. Ltd., , United States
Industry: Information Technology
Experienced Data Scientist with six years of expertise. Specializing in developing predictive models for credit risk, fraud detection, and product optimization. Proficient in Python, SQL, and modern machine learning techniques like gradient boosting and neural networks. Skilled in deploying ML models and collaborating with cross-functional teams to deliver data-driven solutions.
Project: Price optimization & Personalized marketing | Machine Learning, GCP (Google Cloud Platform, Python, SQL, Tableau • Engineered dynamic pricing algorithm using regression models, integrated with company website & app, resulting in a 5% increase in revenue. • Developed ridge & lasso regression algorithms to optimize pricing strategies, leading to a 20% increase in revenue for company products. • Collaborated with the SDE team to integrate ML models into the company's products, improving product functionality and user experience. • Automated data workflows and orchestrations using GCC (Airflow), enhancing operational efficiency reducing manual processes by 35%. • Engineered scalable data warehousing solutions on BigQuery, optimizing query performance by 50% through efficient schema design partitioning.--
Data Analyst. 09/2017 - 09/2019
Sygnius Ventures Pvt. Ltd., , United States
Industry: Information Technology
Experienced Data Scientist with six years of expertise. Specializing in developing predictive models for credit risk, fraud detection, and product optimization. Proficient in Python, SQL, and modern machine learning techniques like gradient boosting and neural networks. Skilled in deploying ML models and collaborating with cross-functional teams to deliver data-driven solutions.
Project: Customer churn prediction| Machine Learning, Python, SQL, PowerBI • Automated weekly and monthly reports with Power BI, cutting down manual reporting efforts by 50% and ensuring timely data delivery. • Utilized Python for data cleaning, transformation, and analysis, reducing data processing time by 30% and improving accuracy. • Provided ad-hoc analysis and insights to support strategic business decisions, leading to a 2% reduction in operational costs.--

University of kota 08/2014 - 05/2017
kota, raj, India
Degree: Bachelor's Degree
Major:Mathematics, Physics
University of Kota. Kota July 2014 – May 2017 Bachelor of Science (Specialized in Physics, Mathematics)

Shankar_Gurjar_Resume