SREEVISHNU S
Chicago,IL
Summary
Results-driven Data Engineer/ Data Analyst with over 4 years of experience in data mining, machine learning, predictive modeling, data architecture, and data visualization. Simulated, designed, developed & deployed computationally complex and practical data; built and delivered comprehensive data strategy roadmap; ensured final deliverables were of the highest quality. Proficient in large-scale structured and unstructured datasets, with strong expertise in Python, R, SQL, Tableau, and Big Data technologies (Hadoop, Hive, MapReduce, NoSQL). Skilled in ETL processes, data warehousing, data modeling, and building end-to-end analytics pipelines to deliver actionable business insights. Familiarity with DevOps tools and practices like Jenkins, Azure DevOps, etc. Familiarity with Atlassian tools like Bitbucket, JIRA, and Confluence. Proven ability to perform NLP, web scraping, statistical analysis, and data validation in high-impact projects across domains including healthcare analytics (HEDIS, STAR ratings, clinical gaps), finance, and regulatory reporting. Experience with handling large volumes of data in the cloud from different sources like S3, Druid, ElasticSearch, mySQL. Adept in conducting GAP analysis, ROI analysis, SWOT analysis, and translating complex data into strategic insights through interactive dashboards and reports. Experienced in all phases of SDLC, Agile, and Waterfall methodologies. Strong communicator with the ability to gather business requirements, document use cases, and collaborate cross-functionally to deliver high-quality, data-driven solutions.
Overview
6
6
years of professional experience
Work History
Data Analyst
Mantech, TX
07.2024 - Current
- Formulated and managed data-driven projects to align with business interests and enhance decision-making.
- Managing full development cycle of planning, analysis, design, development, testing, and implementation using data mining and data analysis tools.
- Managing large-scale data pipelines and use machine learning algorithms to predict user behavior and enhance personalization.
- Identifying new processes, determining gaps in existing processes and implementing new processes; participating in design reviews and contributing in allocation of functionality to specific system components.
- Conducting comprehensive data analytics, data engineering, and data mining on large, complex, and disparate datasets to uncover trends and support data-driven decision-making.
- Performing exploratory and statistical analysis using Python (Pandas, NumPy, and SciPy), R, and SQL to identify actionable insights and business opportunities.
- Optimizing data pipeline efficiency by 40% through implementation of Apache Spark, reducing processing time from 4 hours to 45 minutes.
- Creating dynamic data visualizations and dashboards using Power BI, Tableau, Tableau Prep, and Microsoft Excel (PivotTables, VLOOKUP, Macros) to support executive-level reporting and KPIs.
- Utilizing SQL, PL/SQL, and shell scripting to retrieve, transform, and optimize data from databases like MySQL, SQL Server, Oracle, MongoDB, and Cassandra for analysis and reporting.
- Integrating tracking tools like Google Analytics and building custom D3.js visualizations to support web performance monitoring and digital marketing analysis.
Associate Data Engineer
Indium,Hyderabad
05.2020 - 08.2022
- Developed and maintained data pipelines that extracted, transformed, cleaned, pre-processed, aggregated, and loaded data from diverse sources using Python and SQL to ensure data availability for analysis.
- Built Tableau dashboards by establishing data connections with Google Cloud Platform (GCP) and other tools.
- Parsed and transformed complex JSON files using Python to extract clinical and operational metrics into structured formats and loaded them into SQL-based data warehouses.
- Utilized R and Python to perform text analytics on patient feedback and claims data, identifying trends related to patient satisfaction and care quality.
- Collaborated with key stakeholders to align data collection, analysis, and visualization projects with organizational goals, enhancing data-driven decision-making.
- Used data analytics to drive evidence-based decision-making, improve customer experience and optimize operational efficiency.
- Managed data integration tasks using Informatica to combine clinical data with financial and operational records, coordinating version control via Git and maintaining accurate customer data syncing through Salesforce CRM.
Education
Master of Science - Information Technology & Management
Campbellsville University
Kentucky05-2024
Skills
- Data Analysis
- Data Mining
- Machine Learning
- Data Visualization
- Natural Language Processing (NLP)
- Data Architecture
- Statistical and Regression Analysis
- Process Reengineering & Restructuring
- Predictive Modeling
- Data Validation
- Cross-functional Coordination
- Team Engagement
- Programming Languages: Python, R, SQL, PL/SQL, Java, JavaScript, Shell Scripting, HTML, C, C
- Databases and Cloud Platform: PostgreSQL, MySQL, MongoDB, Snowflake, Redshift
- Data Visualization & BI Tools: Tableau, Tableau Prep, Power BI, Microsoft Excel, D3js
- ETL & Development Tools: Apache Airflow, Talend, Informatica, Hadoop, Spark, Kafka
- BI & Visualization: Power BI, Tableau, Looker, Excel (Pivot Tables, VBA)
- Cloud Platforms: AWS (S3, EC2, Glue, Lambda), Azure Data Factory
- Methodologies: Agile, Waterfall, Rally
- Data visualization and presentations
- Operating Systems: Windows, Linux, MacOS
- Data analysis
- Excel functions
TECHNICAL SKILLS
- Programming Languages: Python, R, SQL, PL/SQL, Java, JavaScript, Shell Scripting, HTML, C, C++
- Databases and Cloud Platform: PostgreSQL, MySQL, MongoDB, Snowflake, Redshift
- Data Visualization & BI Tools: Tableau, Tableau Prep, Power BI, Microsoft Excel, D3.js
- ETL & Development Tools: Apache Airflow, Talend, Informatica, Hadoop, Spark, Kafka
- BI & Visualization: Power BI, Tableau, Looker, Excel (Pivot Tables, VBA)
- Cloud Platforms: AWS (S3, EC2, Glue, Lambda), Azure Data Factory
- Methodologies: Agile, Waterfall, Rally
- Operating Systems: Windows, Linux, MacOS
CORE COMPETENCIES
- Data Analysis
- Data Mining
- Machine Learning
- Data Visualization
- Natural Language Processing (NLP)
- Data Architecture
- Statistical and Regression Analysis
- Process Reengineering & Restructuring
- Predictive Modeling
- Data Validation
- Cross-functional Coordination
- Team Engagement
Personal Information
Title: Data Analysis | Data Engineering
Timeline
Data Analyst
Mantech, TX
07.2024 - Current
Associate Data Engineer
Indium,Hyderabad
05.2020 - 08.2022
Master of Science - Information Technology & Management
Campbellsville University