Tushar Portfolio

Tushar Wagh

Innovative Data Scientist with expertise in ML, deep learning, and data visualization. Skilled in building scalable solutions across cloud and big data platforms. Proficient in Python’s data ecosystem and experienced in deploying apps using modern web frameworks and Docker.

About Me

I’m a curious and solution-oriented Data Scientist & Data Engineer, driven by originality, experimentation, and purposeful design. I stand by the philosophy: “Take your time and return with something extraordinary and original.”

My journey involves transforming complex healthcare data—especially from the US domain—into actionable insights that power critical applications, from national healthcare systems to IVF innovations.

I value the convergence of technology and creativity, constantly exploring fresh ideas and crafting solutions that are both intelligent and inspiring. Whether building ML pipelines or deploying on cloud, I focus on creating systems that reflect innovation at every layer.

My work spans across modern cloud platforms (AWS, Azure, GCP), data science frameworks, and orchestration tools, often grounded in real-world healthcare applications.

Data & MLOps Engineer | May 2025 – Present

At Fairtility, I specialize in building and maintaining scalable data pipelines and infrastructure tailored for AI-powered fertility solutions. My role bridges Data Engineering and Machine Learning Operations (MLOps), ensuring efficient deployment, monitoring, and automation of production ML models.

Designed and maintained robust data pipelines for IVF datasets.
Implemented model versioning, CI/CD, and reproducible ML workflows.
Enabled reliable and scalable ML systems in clinical environments.

Data Engineer | Oct 2023 – Apr 2025

Designed and implemented scalable data pipelines to process large-scale healthcare datasets with high integrity and regulatory compliance.
Applied AI and machine learning to extract insights that improved clinical decision-making and patient outcomes.
Worked with big data technologies including Hadoop and Spark for both real-time and batch data processing.

Data Scientist | Mar 2022 – Sep 2023

Developed AI and machine learning models to analyze complex healthcare data and extract actionable insights.
Implemented predictive analytics for disease trends, treatment optimization, and clinical decision support.
Collaborated with cross-functional teams to convert data-driven outcomes into practical healthcare solutions.
Improved operational efficiency and patient care outcomes by leveraging deep learning techniques.

Data Scientist | Aug 2019 – Mar 2022

Designed and trained machine learning models for object detection, segmentation, and facial recognition.
Optimized computer vision algorithms using tools like OpenCV, TensorFlow, and PyTorch.
Improved model accuracy and performance through hyperparameter tuning and pipeline enhancements.

Data Scientist | Oct 2018 – Jul 2019

Applied statistical techniques and data analytics to extract insights from diverse datasets.
Visualized data patterns using modern BI tools and custom dashboards.
Implemented optimization algorithms for process improvement and decision-making.
Worked with relational and non-relational databases for efficient data retrieval and storage.

Data Scientist | Aug 2017 – Jul 2018

Developed and deployed cloud-based analytics solutions using Google BigQuery.
Applied statistical methods, predictive analytics, and optimization techniques to solve business problems.
Worked extensively with Big Data platforms, NoSQL databases, and NLP pipelines.
Built robust analytical models to support data-driven decisions.