Saijal Bansal — Associate Consultant
I am a Data Scientist with a strong foundation in Machine Learning, Time-Series Forecasting, and end-to-end analytics engineering. With experience across healthcare, finance, and consumer domains, I specialize in building scalable ML solutions that drive measurable business impact—improving forecasting accuracy, reducing operational effort, and enabling data-driven decision-making. My technical expertise spans Python, deep learning frameworks (TensorFlow, PyTorch), advanced ML libraries (XGBoost, LightGBM, CatBoost, Optuna), and statistical analysis methods ranging from hypothesis testing to drift monitoring. I also have extensive experience in automated EDA, performance tracking, model explainability (SHAP), and synthetic data generation (CTGAN). I enjoy solving real-world problems through structured analytics, automation, and thoughtful model design. I am particularly passionate about ML systems that scale—production-ready forecasting pipelines, automated diagnostics frameworks, and models that bring clarity and transparency to complex datasets. Ultimately, I aim to contribute to high-impact data science work where analytical rigor, MLOps discipline, and business value come together.
Stackforce AI infers this person is a Data Scientist with expertise in ML and analytics across healthcare and finance.
Location: Rajasthan, India
Experience: 1 yr 11 mos
Skills
- Python (programming Language)
- Research
- C++
Career Highlights
- Expert in building scalable ML solutions.
- Strong background in time-series forecasting.
- Proficient in advanced ML libraries and frameworks.
Work Experience
Accordion
Senior Analyst (1 yr 11 mos)
AMD
Software Engineer (5 mos)
Birla Institute of Technology and Science, Pilani
Graduate Research Assistant (5 mos)
Greendeck
Technical Consultant (2 mos)
Education
Dual degree at Birla Institute of Technology and Science, Pilani