Sahil Walke

Data Scientist

Boston, Massachusetts, United States3 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Machine Learning and Data Science applications.
Proven track record in optimizing data pipelines and analytics.
Innovative problem solver with a passion for intelligent systems.

Stackforce AI infers this person is a Data Scientist with expertise in Robotics and Data Engineering.

Contact

sahilwalke17@gmail.com LinkedIn

Skills

Core Skills

Data ScienceMachine LearningArtificial Intelligence (ai)Data AnalyticsData Engineering

Other Skills

A/B testingAIAWS QuickSightAnalytical SkillsAnalyticsBusiness AnalysisBusiness StrategyCC++CI/CDComputer VisionDashboardsData AnalysisData MigrationData Orchestration

About

I am highly interested in domains under the umbrella term "Data Science", where I aspire to use my knowledge and skills of leveraging the infinite power of data in the real-world domain to build intelligent systems and/or to improvise existing systems, with an inclination towards Machine Learning based solutions. In fact, extracting patterns and inferences from data by thorough investigation, planning a future course of actions considering a dynamic system, and then taking appropriate decisions makes me feel like Sherlock Holmes of the Tech industry! Fun aside, it is this pleasure of bringing out the worth from raw, dirty data that motivates me to develop a challenging and suitable professional career as a Data Scientist. Highly passionate about achieving dreams and dedicated to goals, I work persistently and I mingle myself with people around me. If my profile interests you, please reach out to discuss relevant opportunities or the data industry in general. Cheers!

Experience

3 yrs

Total Experience

1 yr 6 mos

Average Tenure

Current Experience

Amazon

Data Scientist Co-op

May 2025 – Present · 1 yr 1 mo · Boston, Massachusetts, United States · On-site

Software Research and Data Science @ Amazon Robotics
Designed and executed A/B testing using large-scale simulations to evaluate robot yielding behavior to cross-traffic, resulting in a 70% reduction in manual congestion-related interventions post-deployment across two Fulfillment Centers (FCs)
Architected a Simulation Report Generation Agentic AI system using LangGraph for multi-agent orchestration and advanced prompt engineering techniques, coordinating data retrieval agents, statistical analysis agents, and reporting agents
Developed an XGBoost model predicting pose-level efficiency from spatial-temporal data, enabling congestion pattern analysis
Performed time-series velocity analysis using Pandas to identify and address root causes for 55%+ of robot fleet delays
Built an AWS QuickSight dashboard providing real-time insights on robot fleet movement efficiency metrics
Engineered a data pipeline to extract and preprocess large-scale congestion-related feature data from AWS Athena

Machine LearningData ScienceArtificial Intelligence (AI)Data AnalyticsPythonAWS QuickSight+1

Georgia institute of technology

Graduate Teaching Assistant

Jan 2025 – May 2025 · 4 mos · Atlanta Metropolitan Area

Graduate Teaching Assisting for MGT 8803 : Business Fundamentals

Bits infotech

Software Engineer, Data

Mar 2022 – Jul 2024 · 2 yrs 4 mos · Remote

Optimized ETL pipelines and migrated client data from disparate sectors to a centralized data lake; accelerated go-to-market
speed by 80% and delivered $500K in immediate cost savings
Devised and executed a real-time analytics product for an ecommerce platform’s clickstream data with a scale of up to 700kqps
Integrated model and pipeline validation routines into CI/CD workflows, using unit tests and schema checks to flag unexpected
data inputs resulting in a 30% reduction in staging failures
Developed automated log analysis tools using Python and Elasticsearch, processing 100GB+ daily logs to identify system
anomalies, reducing incident response time by 45%

ETLData MigrationReal-time AnalyticsPythonCI/CDElasticsearch+1

Lti - larsen & toubro infotech

Senior Software Engineer

Jun 2021 – Feb 2022 · 8 mos · Bengaluru, Karnataka, India

Engineered the Smart Data Insights platform, an ITSM ticket data analysis web application, reducing manual work by 85%
Boosted IT support efficiency by 40% through the development of an NLP-based intelligent ticket dispatch system
Reduced SQL latency 33% via composite indexes and stored procedure refactoring, enabling faster dashboard refreshes

NLPSQLData AnalysisData Engineering

Università degli studi di udine

ML Research Intern

Jun 2021 – Sep 2021 · 3 mos

Conducted extensive experiments for Covid-19 prognosis via deep learning employing various equalization methods, such as
HE, CLAHE, etc. across multiple architectural frameworks, such as ResNet, DenseNet, etc
Proposed an innovative, GAN-based transfer learning method devised for the contrast enhancement of Chest X-Ray images

Deep LearningTransfer LearningMachine Learning

Chubu university

ML Research Intern

Apr 2020 – Aug 2020 · 4 mos

Executed object detection and semantic segmentation techniques to extract vital information from scenes across 25 cities, and subsequently applied Machine Learning algorithms to accurately predict Quality of Life (QoL) indicators
Successfully achieved a low Mean Squared Error(MSE) of 0.87 in Quality of Life indicator predictions

Machine LearningObject DetectionSemantic Segmentation