CV

Education

• B.S. in Chemical Engineering, Indian Institute of Technology Guwahati, 2016
• M.S. in Computational Science and Engineering, Technical University of Munich, Germany 2021

Work experience

• Manager, Data Science, Takachar (Sustainable Energy)
  • R&D: Leading a team of some wonderful PhDs, Data Scientists, and Engineers to create solutions that benefit farmers, society, and the environment.
• AI Researcher, American Express
  • R&D: Research on Generative Adversarial Networks to create artificial data and improve robust predictions of predictive models with small data. Improved code’s performance, structure, speed and led adoption across 2 business units.
  • Testing: Helped build 1st version code-base for enterprise-critical regulatory project urgently. Worked with various teams to decide on common SOP for all ML model-tuning in the company.
  • Production: Building production ML model, part of pipeline to estimate customer value.
• Business Analyst, Paytm Mall (E-commerce)
  • Analytics: Standardized unstructured data: 100,000+ texts, images, links, improving product display page. Built data quality culture from first entry point till top management. (teaching juniors, building Analyst group)
  • Automation: Built automated logistics performance reports
  • Business: End-to-end management of 2 projects- Catalog improvement, Supply-chain optimization. Worked with teams from legal, finances, product, tech and business to ensure high-quality outputs under strict deadlines.
• Associate Program Manager, Olacabs (Ridesharing)
  • Analytics: Built & managed end-to-end analytics: Demand, Supply, Finance. (Usually 1 analyst/category. I managed 3). Performed best among Pan-India teams. Ranks: Bikes-1, Rentals-1, Outstations-2
  • Automation: Automated all daily data requirements using Scheduled Python and R scripts, saving 15 man hours per week for 7 analysts. Helped automate weekly COO’s meeting deck.
  • Business: Part of core decision team, helped improve city’s bottom-line ENTR profitability from -40% to -1%. Extended City Serviceable Limits. Product ideas in geo-based push notifications, cab discoverability radius algorithm, fraud detection adopted by Pan-India teams.

Skills

• Machine Learning
  • Tensorflow, Keras, PyTorch, Scikit-Learn
  • Building real-world Machine Learning Models
  • Contributing to academic research
• High-Performance Computing
  • Building parallel codes to run on super-computers
  • Optimizing numerical algorithms
  • Working with CUDA kernels, GPUs
• Analytics
  • Solving problems end-top-end for businesses and startups
  • Big Data : PySpark, Hive, SQL
  • Excel
• Research
  • Experiences in Chemical Engineering, Material Sciences, Atmospheric Sciences, Forestry, Computational Sciences, Machine Learning
  • My time-pass is to read interesting research in all fields beyond mine

Publications

{S. Garg, S. Rasp, N. Thuerey. ”WeatherBench Probability: Medium-range weather forecasts with probabilistic machine learning methods”.}

{W. Samuel, S. Garg, et al. ”Machine Learning Solutions for Reservoir Modelling”. Poster Presented at American Geosciences Union Fall Meeting 2021.}

Interesting Things

• I am a certified Mountaineer, a published co-author, a national-level sports person, and a poet at heart
• My vision to solve climate change is to observe our greed, our lack of empathy to those who are not kin, and our laziness to effect change. And of course, pretty pictures of mountain tops and baby pigs.