Shreemithra Naveen
Data Analyst | Data Scientist | Data Manager And Engineering
Tucson,AZ
Summary
Dynamic Data Scientist with a proven track record in deploying cutting-edge AI and machine learning systems, along with expertise in natural language processing and predictive analytics. Proficient in Python, R, SQL, and TensorFlow, consistently delivering production-ready AI solutions that enhance decision-making and boost operational efficiency. Currently leveraging OpenAI APIs and NLP techniques to automate deadline extraction processes and optimize data management systems. Committed to driving innovation and excellence in data-driven environments.
Overview
3
3
years of professional experience
9
9
Certificates
Work History
Externship
Equity Methods
05.2025
- Selected for a competitive externship focused on equity compensation forecasting.
- Developed and validated Excel forecasting models for stock option plans, stress-tested under market scenarios.
- Collaborated with senior consultants to refine assumptions and deliver audit-ready, reproducible models.
Graduate Research Fellow – Research Analytics
University of Arizona, Research, Innovation & Impact
05.2024 - Current
- Engineered an automated reporting system in Smartsheet to track 2,000+ awards/recognitions, cutting reporting time by 50% - Cut monthly reporting cycles from 20 hours to 10 hours (50% reduction).
- Increased faculty engagement by 30% across 200+ researchers through targeted analytics strategies.
- Building AI-powered deadline extraction system: Leveraging OpenAI API + NLP to auto-extract deadlines, reducing manual updates.
Data Analyst
Sky Village Financial
01.2025 - 05.2025
- Queried and transformed large financial/healthcare datasets in SQL, improving reporting accuracy and regulatory compliance.
- Developed an interactive reporting interface in Excel to surface cross-insurance trends, reducing analyst turnaround by 20 hours/month.
- Automated recurring reporting workflows, improving reliability and reducing manual errors by 30%.
Data Specialist and Analyst
Futurlytics Private Limited
05.2023 - 12.2023
- Engineered analytics solutions for HSBC and Microsoft, constructing SQL/Python ETL pipelines that decreased reporting cycles by 25% while enhancing accuracy.
- Designed interactive Tableau Visualization system to monitor business performance, accelerating insight delivery by 15%.
- Advised executives on strategy adjustments based on performance metrics, directly influencing client decision-making.
Project Intern
HAL
01.2023 - 03.2023
- During my internship at Hindustan Aeronautics Limited (HAL), I assisted a team of 20 engineers in developing software application modules for aerospace vehicle management, focusing on real-time data analytics to enhance tracking and operational efficiency.
- I also contributed to integrating multiple systems into a unified dashboard, optimizing decision-making processes through advanced data analysis techniques
Education
Master of Science - Data Science
University of Arizona
Tucson 01.2024 - Current
Bachelor of Engineering - Electronics And Communications Engineering
BMS Institute of Technology And Management
08.2019 - 05.2023
Skills
Programming Languages: Python, R, SQL, Java, C, C
Libraries & Frameworks: Pandas, NumPy, Scikit-learn, SciPy, TensorFlow, PyTorch, Matplotlib, Plotly, Seaborn
Statistical & ML Techniques: Predictive Modeling, Classification, Regression, Clustering, Deep Learning, NLP, Time Series Analysis, Quantitative Analysis
Data Analysis & Visualization: Tableau, Power BI, R Shiny, Advanced Excel (Pivot Tables, VBA, Macros), Smartsheets (Data Shuttle, automation, dashboards)
SQL Server, Oracle, MySQL, NoSQL, Snowflake, BigQuery, Data Warehousing
Hadoop, Spark, MapReduce, ETL Pipelines Cloud Platforms: AWS (analytics & ML), Microsoft Azure
Automation & Workflow Tools: Smartsheet, UAccess, InfoReady, Box, Airtable
Version Control & Collaboration: Git, GitHub, GitLab, Docker, Apptainer, JIRA, Confluence, SharePoint
Certification
IBM: Introduction to AI
COMMUNITY & LEADERSHIP
- Community Lead - Kohort: Led student engagement and outreach campaigns, boosting participation by 40%.
- University Peer Mentor & Volunteer: Supported peers in Engineering coursework, Led data storytelling workshops.
Accomplishments
Heart Failure Prediction Project – Achieved 2nd prize in a competitive research showcase for combining predictive analytics with practical healthcare applications, demonstrating both technical rigor and real-world impact.
IEEE Publications – Published two peer-reviewed research papers in IEEE conferences/journals, contributing to advancements in data science and applied machine learning. These works addressed challenges in predictive modeling, optimization, and decision support systems, strengthening both academic and professional expertise.
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Externship
Equity Methods
05.2025
Data Analyst
Sky Village Financial
01.2025 - 05.2025
Graduate Research Fellow – Research Analytics
University of Arizona, Research, Innovation & Impact
05.2024 - Current
Master of Science - Data Science
University of Arizona
01.2024 - Current
Data Specialist and Analyst
Futurlytics Private Limited
05.2023 - 12.2023
Project Intern
HAL
01.2023 - 03.2023
Bachelor of Engineering - Electronics And Communications Engineering
BMS Institute of Technology And Management
08.2019 - 05.2023