Janhavi Tatkare
Software Developer
Highest degree :
Masters
Field of study :
. Computer Science
Location :
New jersey
Citizenships :
Indian
Experience :
4 Year(s)
Countries :
United States, India
Gender :
Female
Sectors :
Digital ICT Expert | Data Scientist (AI/ML) | Digital Healthcare Technologist | Cloud & Data Center Specialist
Software Developer with 4+ years of experience building interactive, data-driven applications and dashboards. Skilled in R Shiny, Python, and JavaScript for developing analytical and visualization tools that convert complex datasets into actionable insights. Adept at designing user-centered interfaces for scientific and conservation data, delivering high-quality, reliable solutions across global teams. Passionate about data storytelling, cross-cultural collaboration, and building digital systems that empower communities through transparency and evidence-based decisions.
Software Engineer
New Jersey
Metlife
June 2024
-May 2025
• Designed and implemented Shiny-style web applications using R and JavaScript libraries to visualize financial and demographic data for strategic business reporting, improving data accessibility across departments. • Collaborated with data scientists to create reusable R Shiny modules for real-time KPIs and forecasts, supporting senior analysts in exploring data interactively through filters, maps, and charts. • Integrated R Shiny dashboards with SQL and API data sources, automating daily refreshes via scheduled R scripts and Dockerized workflows to ensure consistent access to the latest datasets. • Improved application usability through iterative UI/UX testing and stakeholder feedback, resulting in cleaner layouts and improved decision-making experiences for non-technical business users. • Developed data pipelines in R and Python for aggregating multi-source datasets, incorporating data cleaning, transformation, and validation to enhance data reliability and interpretability. • Partnered with international colleagues to standardize data schemas and visualization conventions across markets, improving collaboration and analytic comparability across global teams. • Supported exploratory data analysis for sustainability and policy reports, applying reproducible analytical workflows in R Markdown to maintain transparent, well-documented results. • Created visualization prototypes with Shiny Dashboard and Leaflet to display geospatial data layers, enabling teams to assess risk patterns and performance across various geographical segments. • Implemented accessibility and localization features in R Shiny dashboards, ensuring usability for diverse audiences and compliance with internal inclusivity standards. • Contributed to internal knowledge-sharing by documenting reusable Shiny functions and app structures, improving maintainability and reducing onboarding time for new developers
Software Developer
Mumbai
TCS
September 2020
-June 2023
• Delivered R Shiny and web-based visualization tools that allowed business analysts to explore operational and environmental data interactively, increasing transparency and analytical capability for clients. • Collaborated with research-oriented teams to develop R data pipelines integrating field-level data from APIs, spreadsheets, and sensors, ensuring unified insights through well-designed dashboards. • Built modular Shiny components, dynamic filters, and reactive charts to transform complex datasets into clear visuals for stakeholders from non-technical backgrounds, improving understanding of data trends. • Optimized dashboard performance by caching reactive data objects, simplifying render logic, and using asynchronous R operations, leading to a 40% faster load time in production environments. • Conducted stakeholder interviews and usability sessions to gather feedback on visualization requirements, ensuring all dashboards aligned with user expectations and project outcomes. • Designed and implemented REST APIs in Python (Flask/FastAPI) and R plumber to serve processed data to Shiny apps and partner applications across distributed environments. • Managed version control, testing, and CI/CD integration for R Shiny deployments, ensuring stable releases and consistent environments across dev, staging, and production. • Integrated geospatial visualization features with Leaflet and Mapbox, overlaying environmental and regional statistics to assist decision-makers in evaluating program performance. • Created ETL workflows for survey and community-level data using R, ensuring data consistency for conservation, fisheries, and sustainability initiatives. • Documented all development, deployment, and data-handling processes, improving transparency and reproducibility for global collaborators. • Conducted QA and peer code reviews to ensure data security, maintainability, and adherence to privacy and ethical standards for sensitive community datasets. • Partnered with domain scientists to translate ecological data models into visual insights, bridging gaps between analytical complexity and accessible presentation for public outreach. • Mentored junior developers on R Shiny and data visualization techniques, promoting collaborative coding practices and analytical storytelling across teams. • Deployed dashboards through Docker and Shiny Server Pro, ensuring high availability and seamless updates for distributed research and analytics teams. • Delivered cross-functional support for sustainability and field monitoring programs, helping project teams translate raw metrics into measurable conservation outcomes.
Masters in Computer Science
New Jersey
New Jersey Institute of Technology
September 2023
-May 2025