Vidisha Shetty
Boston,MA
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
5
5
years of professional experience
Work History
Machine Learning Research Assistant
ColAI
07.2024 - Current
- Conducting ongoing research on geolocation technologies and their application, including platforms like GeoGuessr, to enhance user engagement and spatial awareness.
- Participated actively in regular meetings with fellow researchers to discuss project updates, challenges faced, and lessons learned during ongoing activities.
Associate Software Engineer
Ugam Solutions Pvt Ltd
11.2021 - 08.2022
- Queried relational databases using advanced SQL, creating robust SQL views, backend procedures, and triggers to enhance feature development and product delivery.
- Streamlined the ETL process of company data using Informatica PowerCenter 10.8, resulting in a 30% reduction in processing time and a 20% increase in data accuracy.
- Monitored and mitigated performance issues by tuning queries leading to 30% performance enhancement.
- Managed cloud storage solutions on GCP and AWS, including S3 Buckets and RDS. Implemented CI/CD practices using Python and shell scripts for data-related tasks.
- Collaborated with cross-functional teams to develop, test, and deploy high-quality software solutions for clients.
Data Scientist
The Sparks Foundation
07.2021 - 08.2021
- Conducted sensitivity analysis using statistical methods (e.g., t-test, Chi-squared) to validate decision tree models.
- Led A/B testing to evaluate model performance, aligning with DevSecOps solutions and continuous improvement practices.
- Developed interactive KPI dashboards in Power BI, enhancing data management and visualization capabilities.
- Extracted insights from data using Python, built narratives around them, and created effective visualizations in Power BI.
Machine Learning Engineer
Adevole
05.2019 - 04.2020
- Optimized machine learning algorithms using Python to analyze customer interactions, improving application personalization and user experience across mobile and PC platforms.
- Designed A/B testing frameworks for model validation, achieving a 15% improvement in accuracy.
- Applied NLP techniques to process test data for sentimental analysis task.
- Extracted actionable insights from data using Python, built narratives around these insights, and created effective visualizations in Tableau.
- Facilitated communication among team members to solve complex technical challenges efficiently and effectively.
Education
Master of Science - Information Systems Majoring in Data Science & AI
Northeastern University
Boston05.2024
Post Graduate Diploma - Data Science
IIIT - B
Bangalore, India04.2021
Bachelor of Science - Statistics, Mathematics, Economics
Mount Carmel College
Bangalore, India04.2019
Skills
- Languages & Web Technologies: Python, SQL, R Programming, Streamlit, FastAPI, JavaScript, Java
- Libraries: TensorFlow, PyTorch, Hugging Face, OpenCV, Seaborn, Keras, Scikit-Learn, Pandas, NumPy
- Databases: MySQL, PostgreSQL, AWS, Snowflake, Airflow, Docker, Oracle
- Cloud Technologies and Containerization: AWS, Google Cloud Platform, GCP BigQuery, CI/CD
- Machine Learning: Predictive Modeling, Time Series Analysis, Regression, Classification, Deep Learning, LLM, NLP
- Tools: Power BI, Tableau, MS Excel (PivotTables, Charting, Macros, VBA)
- Teamwork and Collaboration
Projects
COVID - 19 & Pneumonia Classification from X-rays
- Developed an advanced deep learning model using ResNet architecture for early COVID-19 detection, applied DDP with TensorFlow, managing large 2 GB datasets across multiple GPUs and effectively comparing parallel speed-up performance.
LLM-YouTube-ChatBot
- Implemented an innovative LLM-based YouTube Chatbot, enhancing user interactions and engagement by leveraging advanced natural language processing capabilities for real-time communication and query response on the YouTube platform.
Neural Network Image Classifier
- Constructed a machine learning model for image classification using logistic regression implemented using neural networks with forward and backward propagation algorithms to optimize performance.
- Utilized SGD with ReLu activation to achieve 95% accuracy and an F1 score of 0.92 in image classification and developed an algorithm identifying cat and non-cat images with 99% confidence.
Timeline
Machine Learning Research Assistant
ColAI
07.2024 - Current
Associate Software Engineer
Ugam Solutions Pvt Ltd
11.2021 - 08.2022
Data Scientist
The Sparks Foundation
07.2021 - 08.2021
Machine Learning Engineer
Adevole
05.2019 - 04.2020
Master of Science - Information Systems Majoring in Data Science & AI
Northeastern University
Post Graduate Diploma - Data Science
IIIT - B
Bachelor of Science - Statistics, Mathematics, Economics
Mount Carmel College
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