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Aakash Singh

Aspiring Data Scientist | Applied ML | Python | SQL | Machine Learning | EV & Mobility Analytics

Bengaluru

1+ year of work experience

Yulu
May 20255 mosSep 2025

On-site

Managed day-to-day EV workshop operations covering vehicle readiness, repair workflow, workforce coordination, inventory availability, targets, and quality. Worked with vehicle, inventory, workforce, target, and quality data to monitor workshop performance, identify operational exceptions, and support corrective actions. Conducted vehicle-level inventory audits by cross-checking physical vehicles against recorded inventory, identifying missing and mismatched records and initiating recovery and escalation workflows.
Royal Brothers
Apr 20251 moApr 2025

Bengaluru

Managed day-to-day cluster operations for an assigned area, coordinating operational activities and monitoring execution.
EMO.energy
Feb 20252 mosMar 2025

Bengaluru

• Managed day-to-day data operations, working with operational data and resolving data-related issues and exceptions. • Coordinated and handled ground-team escalations, investigating reported issues and supporting timely resolution. • Worked closely with ground teams to identify discrepancies and ensure operational data issues were addressed and communicated appropriately.
BeepKart
Jun 20231 yr 5 mosOct 2024

Production Efficiency: Led operational initiatives that increased production output by approximately 45%, from 681 to 989 units, while maintaining production performance against operational targets. Cost Optimization: Implemented cost-saving measures across supply and refurbishment processes, reducing operational expenses by approximately 25%. Process & Workflow Improvement: Developed and refined operational processes that reduced costs by approximately 15% and improved productivity by close to 20%. Operational Performance & Problem Solving: Analyzed production KPIs to identify performance deviations and operational bottlenecks, supporting corrective actions and recovery from production setbacks. Manpower Planning & Team Development: Oversaw manpower hiring and workforce planning to meet production requirements, optimize team capacity, and support training and workforce efficiency.
Jun 20211 moJun 2021

Conducted research on water quality standards and regulatory compliance,contributing to the development of company policies and procedures. Assisted in data collection and analysis for water quality testing initiatives,ensuring accuracy and adherence to industry standards. Prepared detailed reports and presentations summarizing research findings and recommendations for internal stakeholders and regulatory agencies.

Aakash’s AI Stack

claude
claude
cursor
cursor
gemini
gemini
ollama
ollama
openai
openai
huggingface
huggingface

Education

KIIT - Kalinga Institute of Industrial Technology

Bachelor of Technology - BTech, electronics and telecommunication

KIIT - Kalinga Institute of Industrial Technology

20194 yrs2023
Purnea College, Purnia

I.Sc, Mathematics

Purnea College, Purnia

20172 yrs2019

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Headline

Aspiring Data Scientist | Applied ML | Python | SQL | Machine Learning | EV & Mobility Analytics

About

I’m an operations and EV-domain professional transitioning into Data Science and Applied Machine Learning, with hands-on experience working with operational data and building end-to-end ML solutions. My professional experience spans production, refurbishment, workshop operations, inventory, quality, workforce coordination, and operational performance, giving me a strong understanding of how data connects to real business and operational problems. To build deeper technical capability, I developed an EV Service Intelligence Platform that addresses three service-operation problems: • Repair Cost — Regression • Turnaround Time (TAT) — Regression • Delay Risk — Binary Classification The project uses a synthetic dataset of 7,250 EV service visits across 3,067 vehicles and 26 modelling features and covers the complete ML workflow: EDA → Feature Engineering → Model Selection → Evaluation → SHAP Explainability → Model Audit → Inference → FastAPI → Docker → Cloud Deployment I work primarily with Python, SQL, Pandas, NumPy, Scikit-learn, SHAP, FastAPI, Docker, Git/GitHub, and Render. I’m currently looking for opportunities in Data Science, Applied ML, and Machine Learning, particularly where business context, data, and machine learning come together. 📍 Bengaluru, India | Open to on-site, hybrid, and remote opportunities across India Open to connecting with Data Science and ML professionals, hiring teams, and recruiters.

Location

Bengaluru

AI stack

claude

cursor

gemini

ollama

openai

huggingface

Work experience

Workshop Manager at Yulu, May 2025 - Sep 2025 · 5 mos, On-site, Managed day-to-day EV workshop operations covering vehicle readiness, repair workflow, workforce coordination, inventory availability, targets, and quality. Worked with vehicle, inventory, workforce, target, and quality data to monitor workshop performance, identify operational exceptions, and support corrective actions. Conducted vehicle-level inventory audits by cross-checking physical vehicles against recorded inventory, identifying missing and mismatched records and initiating recovery and escalation workflows.

Cluster Manager at Royal Brothers, Apr 2025 - Apr 2025 · 1 mo, Bengaluru, Managed day-to-day cluster operations for an assigned area, coordinating operational activities and monitoring execution.

Data Associate at EMO.energy, Feb 2025 - Mar 2025 · 2 mos, Bengaluru, • Managed day-to-day data operations, working with operational data and resolving data-related issues and exceptions. • Coordinated and handled ground-team escalations, investigating reported issues and supporting timely resolution. • Worked closely with ground teams to identify discrepancies and ensure operational data issues were addressed and communicated appropriately.

Operation Analyst at BeepKart, Jun 2023 - Oct 2024 · 1 yr 5 mos, Production Efficiency: Led operational initiatives that increased production output by approximately 45%, from 681 to 989 units, while maintaining production performance against operational targets. Cost Optimization: Implemented cost-saving measures across supply and refurbishment processes, reducing operational expenses by approximately 25%. Process & Workflow Improvement: Developed and refined operational processes that reduced costs by approximately 15% and improved productivity by close to 20%. Operational Performance & Problem Solving: Analyzed production KPIs to identify performance deviations and operational bottlenecks, supporting corrective actions and recovery from production setbacks. Manpower Planning & Team Development: Oversaw manpower hiring and workforce planning to meet production requirements, optimize team capacity, and support training and workforce efficiency.

Research Intern at Naandi Community Water Services Pvt. Limited, Jun 2021 - Jun 2021 · 1 mo, Conducted research on water quality standards and regulatory compliance,contributing to the development of company policies and procedures. Assisted in data collection and analysis for water quality testing initiatives,ensuring accuracy and adherence to industry standards. Prepared detailed reports and presentations summarizing research findings and recommendations for internal stakeholders and regulatory agencies.

Education

Bachelor of Technology - BTech, electronics and telecommunication, KIIT - Kalinga Institute of Industrial Technology

I.Sc, Mathematics, Purnea College, Purnia