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Neha Sharma
17+ years in Machine Learning & Data Science | Expert in Deep Learning, NLP, and Data Analytics for strong grades
🗣️ Languages: English, Hindi
How this expert can help
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Assignment Planning
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Research Guidance
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Project Support
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Revision Support
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Deadline Help
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Chat with Expert
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About this expert
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Hello! I’m Neha Sharma
Hello! I’m Neha Sharma, an AI and Data Science specialist with 17+ years of experience helping students and professionals master modern analytics and intelligent systems. I guide learners through complex topics like Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision with a focus on clarity, correctness, and outcomes. Whether you need assignment help, homework help, project help, lab task help, or online class help, I support you with structured explanations and practical results that match your course expectations.
I hold a Master of Science in Data Science from Fort Victoria University (2010). Over the years, I have worked on predictive modeling, data mining, and end to end AI pipelines, turning raw data into meaningful insights and reliable models. My teaching style is student friendly: I break down difficult concepts into step by step logic, then connect theory with real implementations.
Machine Learning and Deep Learning Expertise
I specialize in building and explaining high performance models. From fundamentals to advanced techniques, I help you understand what to use, why it works, and how to evaluate it properly. I also support you in writing clean, well organized solutions that look professional and score well in grading rubrics.
Core ML Services
- 🧠 Supervised & Unsupervised Learning for classification, regression, clustering, and anomaly detection
- 📈 Predictive Modeling with feature engineering and performance tuning
- 🔍 Model Evaluation using metrics, cross validation, and error analysis
- 🧩 Feature Engineering to improve accuracy and robustness
- ⚖️ AI Ethics & Fairness guidance for responsible modeling
Deep Learning Services
- 🏗️ TensorFlow & Keras model design and training workflows
- ⚡ PyTorch for flexible architectures and experimentation
- 🧠 Generative AI including GANs and Transformer concepts
- 📝 Large Language Models fundamentals and practical applications
- 🎯 Reinforcement Learning for agents, rewards, and policy learning
NLP and Computer Vision for Assignments
If your coursework involves text understanding or image based learning, I can help you move from requirements to working solutions. I provide assignment help and project help with well explained preprocessing, model selection, and evaluation steps.
NLP
- 🗣️ Tokenization, embeddings, and text preprocessing pipelines
- 📚 Sentiment analysis and text classification approaches
- 🧾 Summarization and topic modeling guidance
Computer Vision
- 🖼️ Image preprocessing, augmentation, and data pipelines
- 🔧 CNN based modeling and transfer learning support
- 📊 Evaluation using accuracy, F1, and confusion matrices
LLM Readiness
- 🤖 Prompting concepts and practical LLM workflows
- 🧠 Retrieval and grounding basics for stronger outputs
- 🔒 Safety and quality considerations for student projects
Data Analytics, Mining, and Statistical Analysis
For data analytics, I help you connect business questions to measurable results. From exploratory data analysis to statistical testing, I support you in producing insights that are easy to understand and ready to present in reports.
Data Mining & Big Data
- ⛏️ Data Mining for patterns, trends, and actionable features
- 🌐 Big Data Analytics with Hadoop and Spark style workflows
- 🧱 Cohesive pipelines for scalable analysis
- 📌 Clear documentation for lab and coursework submissions
Statistics & Evaluation
- 📏 Descriptive statistics and visualization driven insights
- 🧪 Hypothesis testing and model assumptions support
- 📉 Regression diagnostics and interpretability
- ✅ Validation strategies to boost grading confidence
Data Engineering, SQL, and Model Deployment
Great results require strong data handling. I help you with Data Engineering, Database Management for Data Science, and practical deployment concepts so your project is complete, not just a notebook. This is especially helpful for project help, lab task help, and online class help where instructors look for end to end completeness.
- 🗃️ SQL for Data Analysis including joins, aggregations, window functions, and query optimization
- 🐍 Python for Data Science with clean code structure and reusable functions
- 📦 MLOps concepts for versioning, reproducibility, and training workflows
- ☁️ Cloud AI guidance using AWS SageMaker, Google AI, or Azure ML style deployment
- 🚀 Model Deployment planning with inference considerations and monitoring basics
Why Students Choose My Support
I don’t only deliver outputs. I help you learn the logic behind every step so you can confidently explain your work during reviews and presentations. My goal is to improve your understanding while ensuring your submission is accurate, organized, and aligned with your course.
Learning First
- 📚 I explain concepts in simple terms with strong mathematical intuition
- 🧠 I help you understand evaluation, assumptions, and tradeoffs
Quality Output
- 🧾 I structure reports and code for readability and grading
- 🔍 I verify results to reduce errors and inconsistencies
Reliable Guidance
- ⏱️ I prioritize clear milestones and timely progress
- 🤝 I support you through questions and iterative improvements
My Technical Stack
- 🐍 Python for data science
- 📊 R Programming for analytics and statistical workflows
- 🧮 SQL for data analysis and reporting
- 🧠 TensorFlow & Keras and PyTorch for deep learning
- ⚙️ Scikit-learn for classical ML and predictive modeling
If you are working on a course that includes Machine Learning, Deep Learning, NLP, Computer Vision, Data Analytics, or MLOps, I can help you turn your requirements into a strong, well explained submission. Let’s work together!
Expertise areas
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Education & credentials
Academic background and certifications added to this expert profile.
Education
Master of Science in Data Science
Fort Victoria University
2010
Certifications
Deep Learning Specialization (deeplearning.ai)
Coursera
2024
Student reviews
Feedback is shown only after moderation. New expert profiles may not have public reviews yet.
4.8
★★★★★
Based on 17 reviews
5 star
16
4 star
0
3 star
0
2 star
1
1 star
0
s
Verified Student
25-05-2026
★★★★★
Great professionalism and patience.
M
Verified Student
25-05-2026
★★★★★
Very consistent and reliable.
M
Verified Student
25-05-2026
★★★★★
Top-level expertise shown.
s
Verified Student
21-05-2026
★★★★★
One of the best experiences I’ve had Neha Sharma.
Z
Verified Student
21-05-2026
★★★★★
Highly skilled and knowledgeable.
Frequently asked questions
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Can I chat with this expert before hiring?
Yes. You can start a chat first, explain your assignment, share important details, and ask whether the expert is suitable for your task.
Can I upload assignment files or project instructions?
Yes. You can share rubrics, PDFs, screenshots, datasets, code files, and other required documents during the hiring or chat process.
How does payment work?
Payments are handled through the platform so your order, wallet activity, invoices, and project status remain organized in your student dashboard.
Can I request changes after delivery?
Yes, you can request revisions based on your original requirements and feedback. Clear instructions help the team resolve revision requests faster.
What should I send before hiring?
Send the deadline, marking rubric, question file, expected format, word count or technical requirements, and any instructor notes.
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