Vagish Anand
@vagishanand
Data Scientist at Optum Global Solutions
Noida, IN
Passionate Data Analytics & Data Science Professional with 6+ years of experience in tech-driven analytics. Proficient in Machine Learning Algorithms, including Logistic Regression, Linear Regression, Clustering, and Classification. Skilled in Python libraries (NumPy, Pandas, Seaborn, Matplotlib, Scikit-Learn), SQL, and Tableau for data analysis and visualization. Strong advocate for team building and process optimization. Proficient in Docker, Kubernetes, CICD Pipelines & DevOps.
Experience
Data Analyst
IDC Technologies
Created 20+ interactive dashboards for existing reports. Converted raw & refined data into actionable insight by predicting & Data processing & modeling future outcomes for 500 Employees. Fostered Data Manipulation by Using Microsoft SQL Server including Data Import, Export, and Extraction. Maintained data, Missing Values, Outliers using Exploratory Data Analysis. Developed Insights using Daily, Weekly, Monthly & Yearly reports of Business and Team Performance. Manipulated, and blended multi-dimensional datasets pulled from client ERP systems into SQL Servers. Analyzed and visualized trends in the data using python libraries like numpy, pandas, matplotlib, seaborn to present descriptive and predictive insights to clients. Created statistical models using python libraries sklearn to predict attrition and performance using techniques like Linear and Logistic Regression & Clustering.
Sr. Executive - Data Analytics
Modis
Data Scientist
Optum Global Solutions (United Health Group)
Collaborated with the team of 3 developers to develop backend logic, integrated it with the frontend components, performed thorough testing to ensure proper functionality and maintain the RRF project using Python Flask framework. Utilized MySQL to store and retrieve data using complex SQL queries. Implemented Exception Handling and Logging Mechanism. Deployed containerized applications in a Kubernetes cluster, configuring resources like Pods, Services, Load Balancer & Deployments, and monitoring cluster health using Grafana. Cooperated with the development team to containerize applications using Docker, creating Dockerfiles. Implemented CI/CD pipelines using Github-actions and configured Cron Job yml files. Developed & updated 20+ Custom Reports for different Clients using SAS SQL. Developed Custom Incentives, Data Feed, Biometric, Offline Reports for Clients using SAS. Debugged Python code used for automation of a process for data removal from the report.
Data Analytics Executive
Mindlance
Presented Trend Analysis such as Market Share & First Submittal Time to process change efficiently. Revisited the current reporting structure of the company and eliminated the work redundancy up to 30%.
Education
International Institute of Information Technology
Post Graduation Diploma in Data Science
Uttar Pradesh Technical University
Bachelor of Technology
Electronics & Communication
Licenses & Certifications
Microsoft Certified Data Scientist Associate
Microsoft
Microsoft Certified Azure AI Fundamentals
Microsoft