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Profile

Dedicated and analytical Data Scientist with 2+ year of experience in software development and data science. Skilled in leveraging data-driven insights to enhance decision-making, optimize processes, and drive strategic growth within organizations.

Education
Goa University, Bachelor of Engineering in Electronic and Communication Engineering
Jul 2018 – Aug 2022
Skills
Programming Languages — Python, SQL, Flask, C, C++, JavaScript, HTML, CSS
Data Science & Miscellaneous Technologies — Machine Leaning, MLOps, PostgreSQL, MySQL, RESTful APIs, Git, GitHub
Data Engineering — PySpark, DataOps, AWS Cloud, Data Modeling, Data Architecture, Data Transformation
Soft Skills — Time Management, Communication, Problem-solving
Professional Experience
Junior Data Scientist, Zummit Infolabs
Jul 2024 – Nov 2024
  • •Orchestrated the development of a Generative AI tool for automating interview Q&A, slashing preparation time by 40%.
  • •Revolutionized applicant pipelines by integrating TTS/STT voice technologies, cutting inquiry response times by 60% (from 5 minutes to under 2).
  • •Spearheaded a team of 7 in protein variant analysis for drug discovery, expediting research timelines by 25% with advanced statistical methods.
  • •Engineered RESTful APIs to streamline machine learning workflows, boosting data exchange efficiency by 35% across systems.
    • Data Science Intern, MentorMind
    Mar 2024 – May 2024
  • •Addressed client requirements with cross-team efforts, enhancing recommendation efficiency and resolving 3 key user pain points.
  • •Uncovered behavior trends, boosting personalization and increasing retention by 15% in 4 weeks.
    • Software Developer, Genora Infotech Pvt Ltd
    Aug 2022 – Dec 2023
  • •Spearheaded development of Ionic 7 and Angular 9 mobile apps, elevating responsiveness and boosting user engagement by 20%.
  • •Architected a ride-sharing app using MongoDB, Node.js, and Google Maps API, improving navigation efficiency by 40%.
  • •Supervised a mutual fund website built with CodeIgniter4, HTML, CSS, and JS, driving a 30% rise in user engagement.
  • •Optimized QA processes, reducing errors by 30% and improving user satisfaction rates.
    • Projects
  • •Developed a predictive classifier from financial data, achieving 98% precision and reducing financial exposure by 20%.
  • •Improved deployment efficiency by 30% through an end-to-end workflow integrating EDA, feature engineering, and model selection.
  • •Boosted model reliability by 15% using SMOTE, enhancing accuracy across datasets exceeding 80,000 records.
  • •Categorized emotions from Indian WhatsApp chat data with 85% accuracy, tackling slang and non-standard English challenges.
  • •Evaluated 9 machine learning models and selected the top performer, achieving a 90% precision rate in classification.
  • •Enhanced performance metrics by 20% using techniques like TF-IDF, Bag of Words, and GloVe embeddings.
  • •Built a Streamlit app for real-time emotion classification, cutting processing time by 40% and improving usability.
  • •Created a machine learning model in AWS SageMaker, achieving 90% accuracy and boosting decision-making efficiency by 20%.
  • •Refined model performance through hyperparameter tuning, decreasing error rates by 15% and enabling faster deployments with MLOps pipelines.
  • •Captured workflow details in Jupyter Notebook, ensuring reproducibility and streamlining cross-team collaboration with clear documentation.
  • •Monitored model performance with SageMaker Model Monitor, identifying drift and making real-time adjustments to maintain reliability.
    • Certificates