Surhud Khare
Applied Data Scientist @Jungle Scout
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WORK HISTORY
Applied Data Scientist @Jungle Scout
Vancouver, BC, CA
EDUCATION
W. P. Carey School of Business – Arizona State University
Master's degree, Business Analytics
Birla Institute of Technology and Science, Pilani
Bachelor of Engineering (B.E.), Electronics and Instrumentation
ABOUT SURHUD KHARE
Early in my career, one of my mentors had a powerful explanation of what a Data Scientist should do: explain anything in English, Mathematics, and Code. This philosophy has guided me throughout my journey. I strive to put this into practice—discussing decisions with product teams, functions with data scientists, and pipelines with engineers. Over time, I’ve also realized the importance of prioritizing communication in that order.With over 7 years of experience at the intersection of data science, machine learning, and software engineering, I approach problems from first principles rather than relying on standard solutions. This mindset has enabled me to develop innovative algorithms from scratch and file a successful patent at Samsung for a peer-to-peer Wi-Fi optimization system.Most recently, I made a bold decision to take a year off — to travel, freelance, and dive into projects I had long wanted to explore. During this sabbatical, I traveled across the US and Canada, completed four advanced Software Engineering courses, and learned two new programming languages (JavaScript & C++). I also deepened my knowledge of Generative AI and collaborated on a start-up that aimed to build a prediction platform. Now, with a fresh perspective, recharged energy, and a host of new software engineering tools in my arsenal, I’m excited to re-enter the field and take on new data science challenges. What I Bring to the Table- Languages: Python, R, SQL, JavaScript, C/C++, SAS- Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost- ML Algorithms: Anomaly Detection, Time-Series Modeling, Forecasting, Natural Language Processing, Predictive Modeling- Statistical Methods: A/B Testing, Regression, Hypothesis Testing, Survival Analysis- Data Engineering: Spark, Hadoop, Airflow, AWS (Glue, Lambda, CodePipeline), Docker- Visualization: Tableau, Plotly, Dash, D3.js- Software Development: React, Node.js, Flask, FastAPI, REST APIsI’m looking forward to applying my deep technical expertise and fresh insights to new challenges in data science/engineering.
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