Shikha Tiwari

I am a Data Science Master’s student at Northeastern University with a passion for Multimodal LLMs, Deep Learning, and AI-driven solutions.

About

I turn data into stories and AI into solutions! As a Data Science Master’s student at Northeastern, I’m passionate about Multimodal LLMs, Deep Learning, and building AI that actually makes a difference—like detecting harmful algae in water or generating radiology reports with RAG. Whether it’s predicting sales trends at Paytm(FinTech) or optimizsing databases at Boston Scientific, I love solving real-world problems with machine learning, deep learning and data analytics. Always curious, always experimenting—if it involves AI, I’m in!What excites me the most is the ability to bridge the gap between research and real-world applications. At LineSpect, I’m developing a real-time algae detection system using semantic segmentation, helping ensure water safety through AI. At Paytm, I combined structured and unstructured data to build predictive models that improved targeted sales by 30%. My ability to handle large-scale data analytics was refined at TCS, where I optimized databases and automated workflows, leading to significant time and cost savings.Always curious and always experimenting, I love tackling challenges that push the boundaries of AI. If there's a complex problem to solve, you’ll find me deep in code, iterating and optimizing, searching for the next breakthrough.

Project

I have worked on diverse AI-driven projects, from developing a radiology report generation system using RAG to building a real-time algae detection model for water quality assessment. My experience spans computer vision, NLP, and predictive modeling, including training deep learning models for pneumonia detection, forecasting sales trends using sentiment analysis, and designing personalized recommendation systems for e-commerce.

Work Experience

Data Scientist Intern

LineSpect
San Francisco, California
(Jan 2025 - Aug 2025)

Developed a real-time algae detection system using semantic segmentation to classify harmful algae in water and Building a cross-platform Machine learning application (Linux, macOS, Windows) that integrates AI-driven image recognition for on-the-go water quality assessments.

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Data Scientist

Paytm (Fintech)
India
(Sep 2022 - Dec 2022)

At Paytm, I combined structured and unstructured data to build sales forecasting and sentiment analysis models, optimizing marketing decisions. Using SQL, I ensured accurate data extraction and transformation, while implementing VADER and RoBERTa to analyze customer sentiment. I developed predictive models incorporating external factors like weather and holidays, leading to a 30% increase in targeted sales.

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Data Analyst

TCS ( Client : Boston Scientific)
India
(Oct 2018 - Sep 2022)

At TCS, I automated 50+ ad-hoc reports using SQL, streamlining business operations and saving $25,000 annually. I also led the migration of 100+ database components from SQL Server to AWS RDS (MySQL), enhancing scalability and data accessibility for a global medical device tracking system.

Contact

I’m actively looking for full time opportunities in AI, Deep Learning, and Computer vision If you're working on cutting-edge AI solutions and need someone who thrives on tackling real-world challenges with machine learning, let’s connect. I’d love to collaborate on innovative projects that push the boundaries of AI. Let’s build something amazing together!