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Sriram Sridhar

@sriramsridhar

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Senior Data Scientist improving ADAS outcomes by reducing false positives through robust ML and analytics.

India

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What I'm looking for

I want to grow with the organization in a greater role with greater responsibilities—building data science and analytics that improve ADAS and customer outcomes, especially by reducing false positive rates, while staying innovative and process-focused.

I’m a Senior Data Scientist with a robust background in data science and analytics, motivated by enhancing customer experiences by reducing false positive rates. I build and apply big-data science and analytics in the ADAS domain, and I’m result-oriented—driven to learn from feedback and continuously improve.

At Mercedes Benz Research & Development India (MBRDI), I’ve delivered measurable impact: I enhanced true positive rates by 65% in Mercedes Benz fleet equipped with ADAS. I also filed four high-impact patents, with two already implemented in Mercedes Benz fleet and recognized through Implemented Patent Awards.

My work is hands-on and end-to-end: I use Python and data/visualization tooling such as Pandas, NumPy, Folium, Plotly, Matplotlib, PySpark, and scikit-learn to implement machine learning solutions. I also leverage Power BI for analytics communication, and I apply SQL and disciplined engineering practices to support reliable modeling and decision-making.

Beyond industry impact, I’ve been actively engaged in research—publishing several high-impact research papers and contributing to projects like Singapore Railway simulator development. I bring a perfectionist, innovation-focused mindset (“Doing things right the first time”) and I enjoy solving complex problems with growth mindset, including earlier computer vision work for luggage pose estimation that achieved close to 80% accuracy.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Mercedes Benz Research & Development India

Oct 2017 - Present (8 years 8 months)

Worked on big data science and analytics for ADAS, improving true positive rates by 65% in Mercedes-Benz fleet equipped with ADAS. Filed four high-impact patents and contributed to published research.

Machine Learning Python Pyspark scikit learn Power BI Data Visualization ADAS Analytics

Research Engineer

Singapore Institute of Technology

Dec 2016 - Sep 2017 (9 months)

Developed a Singapore railway simulator with Land Transport Authority and contributed to modeling metro lines to improve efficiency and throughput by ~20%. Supported research collaboration and delivered measurable project outcomes.

Simulation Performance Optimization Research Collaboration Data & Analytics Documentation

Graduate Student Researcher

Nanyang Technological University

Jan 2015 - Aug 2016 (1 year 7 months)

Built image-processing and computer-vision solutions for luggage pose estimation using MATLAB, achieving close to 80% accuracy. Contributed to innovation activities including patents and received multiple innovation awards.

Computer Vision Image Processing Matlab Pose Estimation Machine Learning

Junior Engineer

Mercedes Benz Research & Development India

Jul 2013 - Nov 2014 (1 year 4 months)

Performed model-based testing and simulation of transmission control software using MATLAB and Time Partition Testing (TPT). Reduced program errors by ~30% through rigorous testing and debugging.

Matlab Simulation Time Partition Testing (TPT)Debugging

Education

Degrees, certifications, and relevant coursework

Nanyang Technological University (NTU)

Master of Engineering (M. Eng), Engineering

2017 -

Completed a Master of Engineering (M. Eng) at Nanyang Technological University, working on image processing and computer-vision techniques for luggage pose estimation using MATLAB.