Aditi Laddha

Full Stack Engineer

Rajasthan, India10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a multilingual prescription system.
Conducted impactful data analysis at Uber.
Interned on a healthcare AI project.

Stackforce AI infers this person is a Full Stack Developer with a focus on Healthcare and Data Science.

Contact

Skills

Core Skills

Full Stack DevelopmentWeb DevelopmentData AnalysisMachine LearningDeep Learning

Other Skills

ReactTypeScriptNode.jsExpressspeech-to-textmedical NERmultilingual translationprescription generationSQLA/B TestingXGBoostfunnel modelingstatistical significance testingOpenCVPyTorch

About

Hello! I'm Aditi Laddha, a data science engineering student with a passion for turning raw data into actionable insights.I'm currently pursuing a Btech in Data Science Engineering at Manipal Institute of Technology. Technology excites me and I am always in awe of the change it drives in the world . Certain skills that I have worked which includes Data Structure and algorithm( C++), Web Development (MySQL,html,css, javascript), Linux OS and Machine Learning (Python).And what I might lack in skills I make up for with my determination to learn. Outside of tech,I am an avid actor and spending my college days exploring theatre

Experience

10 mos

Total Experience

10 mos

Average Tenure

10 mos

Current Experience

Tatvacare

Full-stack Developer

Aug 2025 – Present · 10 mos · Bengaluru, Karnataka, India

Built an end-to-end Ambient Voice RX system that converts doctor–patient conversations into real-time, multilingual
digital prescriptions with high clinical accuracy.
◦ Developed a high-performance React + TypeScript frontend with optimized state management and live transcription
UI for seamless real-time interaction.
◦ Engineered scalable Node.js/Express backend pipelines integrating speech-to-text, medical NER, multilingual transla-
tion, and structured prescription generation.

ReactTypeScriptNode.jsExpressspeech-to-textmedical NER+4

Uber

Data Science Intern

Jan 2025 – Jun 2025 · 5 mos · Bangalore · On-site

◦ Conducted in-depth analysis of the Signup-to-First Trip (SUFT) funnel using session-level behavioral data to identify
friction points , insights informed UX experiments, CRM targeting, and product decisions.
◦ Applied hypothesis-driven analysis and A/B testing principles to validate drop-off hypotheses, using techniques such
as funnel modeling, conversion attribution, and statistical significance testing.
◦ Built a 7-day conversion prediction model using XGBoost with session-level feature engineering, SMOTE balancing,
threshold tuning, and SHAP explainability to enable personalized interventions.

SQLA/B TestingXGBoostfunnel modelingstatistical significance testingData Analysis+1

Manipal institute of technology

Research Assistant

Jul 2024 – Jan 2025 · 6 mos · Manipal · On-site

I am currently interning at the AI Center of Excellence at MAHE under Dr. Manjunath KN and Dr. Ganesh
Paramasivam, as part of a Ministry of Education-funded initiative managed by IIT Jammu.
Our project focuses on predicting coronary artery disease (CAD) from CT scans. My role involves developing a
deep learning model to segment coronary arteries and applying radiomic feature extraction to classify patients
based on their likelihood of having CAD.

OpenCVPyTorchradiomic feature extractionMachine LearningDeep Learning