Suren Kanayalal Sughand

732-***-**** ad3iq3@r.postjobfree.com LinkedIn Portfolio GitHub

SUMMARY

Data Analyst with 3+ years of experience leveraging SQL, Python, and data visualization tools to translate raw data into strategic insights. Created customized Tableau dashboards that contributed to a 15% YoY improvement in decision-making. Demonstrated subject matter expertise in healthcare cost analytics, developing custom reporting and models using claims data to identify cost drivers. Drove operational efficiency by 20% through the implementation of optimization strategies. Adept at communicating analytics findings to both technical and nontechnical stakeholders. SKILLS

Programming Languages: SQL, Python, R, Shell Scripting Database Systems: Teradata, Microsoft SQL Server, PostgreSQL Analytics & ETL: Tableau, Power BI, Alteryx, Informatica, Google Analytics, Data Studio, R Shiny, Looker, QlikView, Jenkins

Cloud Technologies: AWS S3, AWS Lambda, AWS Dynamo DB, AWS EC2, GCP Stakeholder Management Cross-Functional Collaboration Business Intelligence & Reporting Exploratory Data Analysis Data Visualization Statistical Analysis Agile Methodologies Automation Regression Analysis WORK EXPERIENCE

Cigna Healthcare, Tata Consultancy Services Limited Bloomfield, CT Senior Data Analyst Sep 2022 - Jan 2024

• Collaborated with cross-functional teams to pinpoint critical business objectives, crafting tailored reports that offered valuable insights for informed decision-making, which contributed to a 15% improvement in achieving business objectives.

• Applied Agile methodologies by writing user stories, actively participating in scrum calls, and utilizing tools such as JIRA for backlog prioritization and sprint planning, ensuring efficient project management and timely delivery of key milestones.

• Innovated and designed interactive Tableau dashboards tracking over 10+ KPIs, enabling data-driven decision-making and improving customer satisfaction scores by 15%.

• Spearheaded the development of Python scripts to convert Informatica Transformations into executable Teradata queries, resulting in a 25% improvement in query performance and streamlined data processing and analysis.

• Executed a seamless migration of 5 TB of data to AWS, bolstering security, scalability, and accessibility, revolutionizing business operations, and delivering an enhanced customer experience. Data Analyst Sep 2020 - Sep 2022

• Performed data mining and analysis using SQL, extracting actionable insights from a large-scale dataset, that increased accessibility by 50%, enabling teams to drive efficiency, achieve business objectives, and make informed decisions.

• Employed Python and SQL to identify significant trends and opportunities through targeted process enhancements and resource optimization which resulted in a 20% increase in operational efficiency.

• Pioneered data warehousing techniques and automated ETL pipelines in Jenkins, streamlining future task execution.

• Orchestrated the implementation of database systems in collaboration with the IT team, leading to a 25% reduction in errors and ensuring real-time accuracy of mission-critical information.

• Implemented database modifications, resulting in a 40% reduction in retrieval time and ensuring uninterrupted operations for 6 months; system performance optimizations improved efficiency and user satisfaction. PROJECTS

Colgate – Sales Price Prediction Devpost Link

• Engineered a cutting edge XGBoost ML regression model that predicted sales price with 90% accuracy by analyzing location, brand, ingredients details and created an interactive Tableau dashboard for visualization purposes.

• Achieved outstanding model accuracy (error rate of 1.38) with minimal features through precise hyper-parameter tuning.

• First prize recipient at HACK RU, a 24-hour hackathon by Rutgers University in Data Science Domain Challenge. FIFA Analysis and Visualization GitHub

• Spearheaded the utilization of R Programming for in-depth analysis, applying regression models to assess player and club performance, leading to actionable recommendations that elevated team strategies and performance by 15%.

• Created visually compelling representations of player skill and predicted fitness of players using Tableau and R packages

(plotly,ggplot2), these interactive visualizations enabled the team to make data-driven decisions, resulting in enhanced player performance and elevated team outcomes.

Apple Stock Price Forecasting GitHub

• Implemented data pre-processing in R, addressing missing values in the Apple Stock Price dataset from 2006 to 2017.

• Developed a highly accurate time series model with 87% accuracy rate and low RMSE value. EDUCATION

Rutgers University New Brunswick, NJ

Master of Information Technology and Analytics Dec 2019 University of Mumbai Mumbai, India

B.E. in Computer Engineering Jun 2018

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