Ranjeet Prajapati
Thane
Summary
Dynamic AI Engineer with a proven track record at Lenia Health Pvt Ltd, specializing in machine learning and NLP. Expert in designing scalable AI solutions and enhancing model interpretability. Adept at collaborating with cross-functional teams, driving impactful healthcare innovations while ensuring compliance with regulations. Strong analytical skills complement my technical expertise.
Overview
5
5
years of professional experience
Work History
AI Engineer
Lenia Health Pvt Ltd
Melbourne
02.2024 - Current
- Collaborated with cross-functional teams on AI project implementations.
- Design and implement machine learning pipelines for healthcare applications, including predictive analysis, NLP, and medical imaging analysis.
- Build and fine-tune LLM-based agents and RAG pipelines for clinical document understanding.
- Integrate AI models into production systems using scalable APIs and cloud services.
- Ensure model interpretability, fairness, and compliance with HIPAA and other healthcare regulations.
Data Analytics
Kantar IMRB
Mumbai
11.2021 - 06.2023
- Analyze collect the data on consumer demographics, Preferences, needs and buying habits to identify potential markets and Factor affecting Product demands.
- Prepare Reports of finding, illustrating data graphically and translate complex finding into written text.
- Monitoring industry Statistics and follow trends in tread literature
- Forecast and interpret the trend (Short term or Long term trend by Statistical techniques) of market share to see change in data and doing post stratification (weighting) on rawdata for actual nature of market behavior
- Tools Like SPSS, Dimensions, SQL, Python, Advance Excel,Machine Learning,NLP.
- Used targeted data analytics to enhance network operations and drive continuous service improvements.
- Adapted reporting techniques to incorporate new data analytics software, enhancing report detail and accuracy.
Data Scientist Internship
Flip Robo Technologies
Banglore
11.2020 - 06.2021
- Pioneered the adoption of machine learning models to predict trends and patterns within datasets.
- Constructed deep learning models and scalable machine learning systems.
- Optimized existing data processing systems to enhance efficiency and reduce processing time significantly.
- Presented findings through clear visualizations and reports, facilitating effective communication with non-technical team members.
Data Analyst
Indus Vox Digital Media Company
Mumbai
03.2020 - 09.2020
- Applied mathematical, actuarial or scientific principles to solving management challenges to derive working solutions.
- Utilized advanced statistical techniques to conduct deep-dive analyses and report findings to stakeholders.
- Evaluated new data analysis tools and technologies to keep the company at the forefront of industry trends.
- Evaluated new data analysis tools and technologies to keep the company at the forefront of industry trends.
Education
Post Graduation Diploma - Data Science and Machine learning
Data Trained Institute
Delhi07.2021
Certification - Data Analytics
Imarticus Learning
Mumbai10.2019
Bachelor's - Computer Science
SJRS College
Mumbai07.2018
Skills
- Data analysis
- Machine learning
- Sql programming
- Python programming
- Data visualization
- Statistical techniques
- Natural language processing
- Deep learning
- Generative AI
- Ai agents
- React
- JavaScript
- LLM - RAG
- AI Tools and Techniques
Projects
Covid-19 Mortality Report using Machine Learning, Machine learning techniques have been applied to the COVID-19 dataset for extracting information and understanding the effect of various variables on the COVID-19 death rate. An optimal decision tree is formed with equal costs for the ten variables. The performance assessment metric for the fitted tree is as follows: RMSE = 1.91, R2 = 0.74, and MAE = 1.24. Micro Credit Defaulter, A Microfinance Institution (MFI) is an organization that offers financial services to low-income populations. We have trained several models for the dataset we had prepared, and we got different results for different algorithms. The Random Forest classifier model has given the highest AUC in graph, the accuracy score of 97% and CV score of 96% which is highest among all the models tested.
Hobbies and Interests
- Playing and watching Cricket
- Travelling
Languages
- English
- Hindi
- Marathi
Timeline
AI Engineer
Lenia Health Pvt Ltd
02.2024 - Current
Data Analytics
Kantar IMRB
11.2021 - 06.2023
Data Scientist Internship
Flip Robo Technologies
11.2020 - 06.2021
Data Analyst
Indus Vox Digital Media Company
03.2020 - 09.2020
Post Graduation Diploma - Data Science and Machine learning
Data Trained Institute
Certification - Data Analytics
Imarticus Learning
Bachelor's - Computer Science
SJRS College
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