Hi, I'm Senin Farheen, a passionate computer science graduate student with a strong focus on machine learning, deep learning, and natural language processing. I love building innovative AI-driven solutions and have practical experience deploying scalable data pipelines, optimizing ML models, and creating interactive data visualizations. My goal is to bring actionable insights and novel AI applications to real-world problems, especially in healthcare and retail sectors. When I'm not coding or experimenting with new AI technologies like large language models and voice interfaces, I enjoy mentoring others and collaborating across teams to bridge technical and business needs. I'm always eager to learn, grow, and contribute to meaningful projects that advance the state of AI and data science.

Senin Farheen

Hi, I'm Senin Farheen, a passionate computer science graduate student with a strong focus on machine learning, deep learning, and natural language processing. I love building innovative AI-driven solutions and have practical experience deploying scalable data pipelines, optimizing ML models, and creating interactive data visualizations. My goal is to bring actionable insights and novel AI applications to real-world problems, especially in healthcare and retail sectors. When I'm not coding or experimenting with new AI technologies like large language models and voice interfaces, I enjoy mentoring others and collaborating across teams to bridge technical and business needs. I'm always eager to learn, grow, and contribute to meaningful projects that advance the state of AI and data science.

Available to hire

Hi, I’m Senin Farheen, a passionate computer science graduate student with a strong focus on machine learning, deep learning, and natural language processing. I love building innovative AI-driven solutions and have practical experience deploying scalable data pipelines, optimizing ML models, and creating interactive data visualizations. My goal is to bring actionable insights and novel AI applications to real-world problems, especially in healthcare and retail sectors.

When I’m not coding or experimenting with new AI technologies like large language models and voice interfaces, I enjoy mentoring others and collaborating across teams to bridge technical and business needs. I’m always eager to learn, grow, and contribute to meaningful projects that advance the state of AI and data science.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent
Hindi
Advanced

Work Experience

Data Scientist at Signify Innovations India Ltd (Philips Lighting)
July 31, 2023 - July 18, 2025
Conducted market basket analysis on over 30 million POS records, identifying low-margin items and reducing carrying costs by 76%. Built PySpark-based ETL pipelines to analyze competitor pricing and internal sales data, performing price elasticity analysis that boosted promotional profitability by 22%. Deployed Power BI dashboards and Python visualizations to analyze consumer behavior by region and product categories, driving an 18% sales increase. Mentored more than 5 team members, facilitating their transition from interns to full-time roles, and led knowledge transfer through code reviews and workshops. Collaborated with marketing and product teams to gather requirements and translate technical findings for non-technical stakeholders to impact business decisions.
Data Science Intern at Signify Innovations India Ltd (Philips Lighting)
July 31, 2022 - July 18, 2025
Automated Python pipelines including feature engineering for multi-gigabyte retail datasets and trained linear regression time-series models to improve inventory forecasting for three top product lines.

Education

Master of Science at Stevens Institute of Technology
January 1, 2023 - July 18, 2025
Bachelor of Engineering at Visvesvaraya Technological University
January 1, 2018 - August 31, 2022

Qualifications

AWS AI Practitioner - AIF-C01
June 1, 2025 - June 30, 2025
Databricks Certified Associate Developer for Apache Spark 3.0
August 1, 2024 - August 31, 2024

Industry Experience

Software & Internet, Retail, Healthcare, Consumer Goods, Transportation & Logistics