Darshan Venkatesh Jayaram
Garner,NC
Summary
Results-driven data analytics professional with over 6 years of experience in machine learning and data engineering, specializing in delivering impactful, data-driven solutions within the healthcare and technology sectors. Proficient in tools including Python (NumPy, Pandas, TensorFlow, Scikit-learn), SQL, and AWS (Machine Learning Specialty certified), facilitating predictive modeling, automation, and cloud-based analytics. Expertise includes data modeling, ETL processes, and managing large-scale datasets from platforms such as Teradata and SQL Server, alongside a strong background in statistical analysis and anomaly detection. Skilled in developing interactive dashboards and automated reporting with Tableau and Power BI to enhance executive decision-making while collaborating with stakeholders to transform business requirements into actionable insights.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Data Analyst II
Optum (UnitedHealth Group)
Garner, NC
06.2021 - Current
- Performed data cleaning, validation, and transformation, improving data accuracy and report reliability by 30%.
- Gathered business requirements and conducted data analysis to enable comprehensive daily/weekly reporting for strategic decision-making.
- Developed 10+ interactive dashboards in Tableau and Power BI for KPI monitoring, YTD/QTD analysis, and executive reporting.
- Built robust ETL pipelines using SQL, Python, and SSIS, transforming billions of healthcare records into analytics-ready formats.
- Designed, built, and deployed Python-based modeling APIs for customer analytics, integrating machine learning techniques to analyze user behavior.
- Improved database design by adding tables, defining relationships, and optimizing stored procedures and SQL queries for performance.
- Collaborated with cross-functional teams to define data schemas, write source-to-target mappings, and design transformation logic.
- Executed test cases for data completeness, transformations, quality, performance, and scalability, ensuring reliable data delivery.
- Troubleshoot and resolved data-related issues, maintaining high data quality and system reliability.
- Applied advanced Python skills with TensorFlow, PyTorch, Scikit-learn, and JAX in production and research environments for predictive analytics.
- Leveraged Hadoop, Apache Spark, and Airflow to orchestrate scalable data processing workflows in Big Data environments.
- Mentored new team members, contributed to documentation, and supported knowledge transfer for operational continuity.
Data Analyst
Unum
Hicksville, NY
09.2020 - 05.2021
- Utilized Python (Pandas, NumPy, SciPy, Matplotlib, TensorFlow, Scikit-learn) to develop machine learning algorithms for predictive analytics.
- Automated data cleaning and transformation for structured and unstructured datasets using Python scripts, improving processing efficiency.
- Designed and deployed interactive Tableau dashboards with drill-down, parameterized views, and storytelling for KPI monitoring and executive reporting.
- Wrote complex SQL and PL/SQL queries, including joins and OLAP functions (CSUM, COUNT, RANK), to support large-scale analytics and reporting.
- Created business metric KPIs to evaluate performance across multiple modules and drive strategic decisions.
- Implemented performance tuning for queries, stored procedures, and indexing strategies, ensuring optimized database operations.
Data Analyst Intern
Itinfolab Technologies
Bengaluru, India
06.2017 - 08.2018
- Developed business process models using Waterfall methodology to document existing and future workflows for operational efficiency.
- Troubleshot, fixed, and deployed multiple Python bug fixes for core applications, improving system stability and performance.
- Designed, developed, and tested software to maintain data marts, enabling efficient data loading and OLAP analysis for reporting.
- Implemented advanced web analytics tracking, monitored KPIs using Google Analytics, and created custom reports and dashboards for marketing insights.
- Maintained and enhanced Power BI reports, fixing bugs and developing new reporting solutions to support business intelligence initiatives.
Education
Master's Degree - Computer Science
New York Institute of Technology
New York, NY01-2020
Bachelor of Engineering - Computer Science
Rajarajeswari College of Engineering
Bengaluru, India01-2018
Skills
- Programming & Scripting: Python (Pandas, NumPy, Scikit-learn, TensorFlow, Flask), SQL, PL/SQL, R, SAS
- Data Science & Machine Learning: Predictive Modeling, Statistical Analysis, NLP, PCA, K-Means, XGBoost, Random Forest, Logistic Regression, PyTorch, Keras, Jupyter
- Data Engineering & Pipelines: Apache Spark, Hive, Kafka, SSIS, SSRS, ETL, BigQuery, MySQL, SQL Server, NoSQL, Snowflake
- Cloud Platforms: AWS (Machine Learning Specialty), Azure (Data Factory)
- Data Visualization & Reporting: Tableau, Power BI, Matplotlib, Seaborn, Excel (Pivot Tables, Dashboards, VLOOKUP), Google Analytics
- Database & Data Management: Data Modeling, Data Mapping, Data Cleansing, Normalization/De-normalization, Workflow Analysis
- Tools & IDEs: Git, Docker
- Business & Analytical Skills: Technical Analysis, Business Process Mapping, Metrics Analysis, A/B Testing, Model Deployment, API Integration
- Other: Agile/Scrum, Data Governance, Data Quality, Leadership, Planning & Coordination, Business Development, Financial Management
- Data visualization and presentations
Certification
- AWS Certified Machine Learning – Specialty, Amazon Web Services - Nov 2020
Languages
English
Native or Bilingual
Timeline
Data Analyst II
Optum (UnitedHealth Group)
06.2021 - Current
Data Analyst
Unum
09.2020 - 05.2021
Data Analyst Intern
Itinfolab Technologies
06.2017 - 08.2018
Bachelor of Engineering - Computer Science
Rajarajeswari College of Engineering
Master's Degree - Computer Science
New York Institute of Technology