Data Scientist | Geospatial & ML Engineer | Python · GEE · Forecasting | Open to Opportunities
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Remote








Master of Science - MS, Data Science
Christ University, Bangalore

Bachelor of Science - BS (Honours), Mathematics
DIT University
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Download Tal BossData Scientist | Geospatial & ML Engineer | Python · GEE · Forecasting | Open to Opportunities
I am a Data Scientist and ML Engineer currently pursuing my MS at Christ University, with a deep-rooted passion for using spatiotemporal data to solve complex real-world problems. With a Bachelor’s degree in Mathematics from DIT University, I leverage a strong statistical foundation to build high-impact machine learning solutions. My expertise lies at the intersection of Geospatial Analysis and Machine Learning, recently demonstrated through my research in ensemble crime prediction models. I thrive in environments that value technical excellence as much as they value diversity and inclusion.
Bengaluru
antigravity
claude code
claude
codex
deepseek
gemini
Data Science Intern (Geospatial Analytics) at Deepspatial (CSE: DSAI | OTCQB: DSAIF), Oct 2025 - Apr 2026 · 7 mos, Remote, • Processed and analysed large-scale geospatial datasets using Python-based spatial analytics workflows. • Worked with location intelligence, environmental, and satellite-derived datasets to generate actionable insights. • Built machine learning models for spatial prediction, pattern recognition, and analytical reporting. • Automated data collection, preprocessing, feature engineering, and reporting workflows. • Integrated APIs and multiple data sources to support scalable geospatial analytics pipelines. • Performed exploratory spatial analysis, visualization, and data quality assessment. • Collaborated with multidisciplinary teams to deliver geospatial intelligence products and business insights.
Machine Learning Researcher at Christ University, Bangalore, Apr 2025 - Jul 2025 · 4 mos, • Developed ensemble forecasting models for spatiotemporal crime prediction using Prophet and STL decomposition on the Chicago crime dataset, benchmarking multiple approaches to optimize accuracy. • Engineered time-series features and ran comparative model evaluations, achieving measurable improvements in forecasting performance over baseline models. • Built interactive dashboards and visualization reports to communicate predictive findings to academic stakeholders. • Collaborated with research peers at Christ University to drive innovation in applied ML and spatial analytics.
Master of Science - MS, Data Science, Christ University, Bangalore
Bachelor of Science - BS (Honours), Mathematics, DIT University