sanika hi, i am Sanika Ardekar

Web Developer, Data Analyst and a Machine Learning Enthusiast. Currently working as a Software Engineer, building with typescript and AWS. I love participating in hackathons, doing research work and learning new things.

Hobbies: Reading books, watching movies and dramas, and exploring new eateries.

Fun Fact: i am a coconut enthusiast.

Work Experience

sanika
Cimpress - Software EngineerAug 2024-Present

  • Built and optimized scalable APIs for speed and integrations
  • Improved system reliability with queues and fail-safes
  • Enhanced UI with better forms and responsive design
  • Boosted observability with modern logging and debugging
  • Implemented migrations and refactored legacy code for scalability

sanika
Voluteer @ Lighthouse Project CertificateAug 2024-Present

  • Mentored under-resourced students at BMC school

sanika
JioSaavn - Data Analyst Intern CertificateSept-Dec 2023

  • Worked under the Business Insights team for deriving metrics and performing analysis for diverse stakeholders.
  • Maintained and created Dashboards for daily, weekly and monthly reporting using Google Looker Studio and Google Sheets.
  • Fulfilled Ad-hoc queries for feature engagement and deep dive analysis as well as module analysis on the app.
  • Conducted information retrieval to analyse customer engagement metrics and trends.

sanika
LTIMindtree - Summer Intern CertificateJun-Aug 2023

  • Collaborated with the Data team to analyze support engagements for company services
  • Conducted data checks on the retrieved data for subsequent processing.

sanika
Mathrithms - Frontend Web Developer LORMay-June 2022

  • Worked on Dr. Reddy’s Data Portal by developing web interfaces using MERN stack, GraphQL, Bootstrap.
  • Successfully refactored portal to improve performance and visualization by 7-10%.
  • Efficiently followed all SDLC processes right from SRS Documentation to Production Deployment.

Projects

Achievements

Research and Publications

πŸŽ“ WoC SVC: A Model for Enhancing Lullabies Through Personalized Voice Cloning

Procedia Computer Science Journal, Elsevier

Link to Paper

πŸŽ“ VRSS: A touch-to-vision-text-audio artificial multi-modal sensory system to demonstrate neural network processes

Publisher: International Journal of Intelligent Systems and Applications in Engineering (IJISAE).

Link to Paper

πŸŽ“ Aero Drums - Augmented Virtual Drums

Publisher: ICCCMLA - 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2022)

Link to Paper

πŸŽ“ A comparative approach for speech emotion recognition using CNN and Branch CNN

CRC Press, Taylor and Francis group

Link to Book

πŸŽ“ Image Projection on Visual Cortex using IoT Sensors – IPVC

CRC Press, Taylor and Francis group

Link to Book

Contact Me!

Drop me an email to collaborate or just say hi!

My email-id: sanikaardekar@gmail.com

My Socials

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