Open to opportunities

Himanshu Verma

@himanshuverma7

Message

I build AI models and resolve customer logistics and payment issues.

India

Message

What I'm looking for

I'm seeking a remote sales or logistics operations role where I can apply problem-solving, technical fluency, customer-service experience, and process automation skills.

I've supported customers at TaskUs by resolving complex payment, order, and logistics issues while maintaining 95%+ CSAT, 99% data accuracy, and handling 50–80+ daily inquiries.

I've also built predictive analytics, computer vision, face-recognition, logistics classification, and sentiment-analysis projects through AI/ML internships at CDAC and Ducat. I use Python, SQL, data analysis, and machine-learning frameworks to turn customer and business data into practical insights.

Experience

Work history, roles, and key accomplishments

Current

Teammate (Virtual Customer Service Associate)

Current

TaskUs

Jun 2025 - Present (1 year 3 months)

Maintained a 95%+ CSAT by resolving complex payment and logistics issues. Managed 50–80+ daily inquiries with 99% data integrity.

Customer Service CRM Logistics Conflict Resolution Multichannel Support High Speed Troubleshooting

AI/ML Intern

CDAC

Oct 2023 - Jan 2024 (3 months)

Developed a Face Recognition-Based Attendance System using Computer Vision. Conducted data preprocessing and model validation, optimizing CNNs/RNNs.

Computer Vision Python CNN RNN data preprocessing Model Validation

AI Intern

Ducat

Apr 2023 - Nov 2023 (7 months)

Built machine learning models to forecast sales trends and customer behavior. Performed feature engineering to identify key predictors of consumer trends.

Machine Learning Predictive Analytics Feature Engineering Python Data Analysis

Education

Degrees, certifications, and relevant coursework

Himachal Pradesh Technical University

Bachelor of Technology, Computer Science and Engineering

2019 - 2023

Grade: CGPA: ~7.4

Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a CGPA of approximately 7.4 with consistent academic growth across eight semesters.