Software Engineer with experience in Data Science, Machine Learning, Backend Development, and Data Analytics. Skilled in building AI-powered applications, developing scalable backend systems, and transforming data into actionable insights using Python, SQL, and modern development tools.

Michelle Dsouza

Software Engineer with experience in Data Science, Machine Learning, Backend Development, and Data Analytics. Skilled in building AI-powered applications, developing scalable backend systems, and transforming data into actionable insights using Python, SQL, and modern development tools.

Available to hire

Software Engineer with experience in Data Science, Machine Learning, Backend Development, and Data Analytics. Skilled in building AI-powered applications, developing scalable backend systems, and transforming data into actionable insights using Python, SQL, and modern development tools.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Data Analyst at DataSync Solutions
October 1, 2025 - Present
Built OLAP cubes with 5+ dimensions and hierarchies to enable fast slice, dice, and drill-down analysis. Reduced query execution time by 40% through indexing and partitioning optimizations. Designed a star schema with fact and dimension tables, enforcing primary and foreign key constraints. Cleaned and validated 1M+ records using SQL, handling nulls, duplicates, and schema inconsistencies.
Data Scientist at AccelTree Software
January 1, 2025 - September 1, 2025
Developed a full-stack RAG chatbot using LangChain, SQL, and a React JS dashboard, achieving 98% query resolution. Implemented asynchronous FastAPI endpoints for an OCR data ingestion pipeline handling ~400 concurrent requests. Deployed a Rasa AI chatbot on AWS EC2 to enable 24/7 insurance quotes and user query handling. Served as single point of contact for international clients, coordinating communications and timelines across teams.
Data Science Intern at Involead
February 1, 2024 - July 1, 2024
Reduced data processing time by 60% by developing Python data pipelines to automate backend workflows for marketing and sales data, and pricing and promotion analytics. Improved Marketing Mix Models and Unobserved Components Models using Regression and SGD optimization.
Data Science Intern at ElasticRun
November 1, 2023 - January 1, 2024
Built a customer churn prediction model using LSTM and a clustering-based recommendation system. Analyzed customer data with SQL to create segments that supported targeted marketing.

Education

B.Tech in Computer Science Engineering at MIT World Peace University
December 1, 2020 - July 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services